Mendel and His Peas Investigating Monhybrid Crosses Using the Graphing Calculator

Size: px
Start display at page:

Download "Mendel and His Peas Investigating Monhybrid Crosses Using the Graphing Calculator"

Transcription

1 20 Investigating Monhybrid Crosses Using the Graphing Calculator This activity will use the graphing calculator s random number generator to simulate the production of gametes in a monohybrid cross. The height of peas is the trait that can vary in peas. Peas can be tall or peas can be short. There is a gene that is responsible for this trait, and it has two forms or alleles: T for tall and t for short. The graphing calculator will simulate a cross of two peas that are heterozygous for being tall, Tt. This is based on the ability of the graphing calculator to generate 1 s and 2 s randomly much like flipping a coin to obtain random heads and tails. A 1 represents the T gamete for tall peas and a 2 represents a t gamete for short pea. The genotype for particular individual is found by adding both integers together. Thus a tall pea that is homozygous dominant, TT, is represented by the number 2. T T = = 2 Other possible genotypes may be: Tt = 3 tt = 4 PURPOSE This exercise uses the graphing calculator to demonstrate genotypic ratios of a classic Mendelian Monohybrid cross. MATERIALS TI-83 plus graphing calculator PROCEDURE 1. Write a hypothesis predicting the phenotypic ratio for the offspring of a cross involving two peas that are both heterozygous for tall, Tt x Tt. Be sure and state your hypothesis in the If then format. 2. Turn on your calculator and press to clear the screen. 3. Clear all list by pressing, [mem]. Move cursor to ClrAllLists (by pressing the key OR press ) and then press two times. Done should appear on the screen. Laying the Foundation in Biology 529

2 20 4. * Optional If your teacher decides that your calculator needs to be seeded, then do the following steps. a. Key in your birthday (i.e for October 3rd 1985) b. Press, then press and move the cursor at the top of the screen to PRB (probability) by pressing key (Figure 1). c. Then press to store this number to the random number function. Press a second time to execute the function (Figure 2). Figure 1 Figure 2 5. Press (Figure 3) and then. The list screen should appear. Figure 3 Figure 4 6. Put the cursor at the top of L1 (by pressing ) and press. A blinking black square will appear at the bottom after L1 =. 7. List 1 represents a parental pea plant that is heterozygous or Tt. The pea plant will produce 100 gametes either T or t. The calculator will randomly produce the gametes. This is done by randomly choosing the integer 1 or 2 one hundred times. If the calculator chooses the number 1, the gamete will be a T and if the calculator chooses the number 2, the gamete will be t. 530 Laying the Foundation in Biology

3 20 8. With the cursor still blinking at the bottom, press and move the cursor at the top of the screen to PRB (probability) with the key. 9. You want the calculator to choose either a 1 or a 2 randomly and to make that random choice 100 times. Move the cursor down to randint (Figure 4) with the, then press, OR press. This should return you to the list screen and at the bottom a blinking black square should appear after L1 =randint(. 10. At this time you want to direct the calculator to randomly select 1 s and 2 s one hundred times. Do this by pressing,,,,,,,. The screen at the bottom should now look like this L1 =. randint(1,2,100). See Figure 5. Press and L1 should be filled with 100 entries of either a 1 or a 2. Figure 5 Figure List 2 represents the parental pea plant # 2, and it is also heterozygous or Tt. The male is to make 100 gametes either T or t. The calculator will randomly produce the gametes. Put the cursor at the top of L2 and repeat steps 7-10 (Figure 6). 12. Now the gametes from the female (L1) need to be fertilized by the gametes from the male (L2). This is done by adding the two lists. Put the cursor on L3 and press. At the bottom of the list screen should appear L3=. Now press,, [L1],,,, [L2] (Figure 7). Press and L3 should fill in with the sums of L1 and L2 (Figure 8). List 3 represents the genotypes that result from the fertilization from the various gametes to produce 100 offspring. The following numbers represent the following genotypes: a. TT = 2. b. tt = 3. c. tt = 4. Laying the Foundation in Biology 531

4 20 Figure 7 Figure To view this graphically, press,, (Figure 9). At this time, make sure to put your cursor on PLOT 1 and press and move the cursor down to ON and press. Both PLOT 1 and ON should be highlighted. All the other plots should be inactivated. Figure 9 Figure Move the cursor down and activate the bar graph, by putting the cursor on the bar graph and pressing. 15. The list that you want to display is L3. Move the cursor down to the next line and press, (Figure 10). 16. To view the bar graph, now press,. 532 Laying the Foundation in Biology

5 The bar graph should appear displaying the number of TT, Tt, tt genotypes. To look at this, press. Using the or, place the blinking cursor on the left bar (Figure 11). This represents the T T genotypes and the bottom screen n= displays the number. Use the to place the blinking cursor on the middle bar. This represents the heterozytotes, Tt and the bottom screen n= displays the number. Use the to place the blinking cursor on the right bar. This represents the homozygotes, tt, and the bottom screen n= displays the number. 18. Record the ratios of TT, Tt, and tt generated in the data table provided on the student answer sheet. Figure Survey three other groups and compare your data. Discuss with your partner possible explanations for the variation found among different groups. Laying the Foundation in Biology 533

6 20 Name Period HYPOTHESIS Investigating Monhybrid Crosses Using the Graphing Calculator DATA AND OBSERVATIONS Predicted Number of Offspring Calculator Number of Offspring Difference TT (4) Tt (3) tt (2) 534 Laying the Foundation in Biology

7 20 CONCLUSION QUESTIONS 1. How do the predicted ratios differ from the calculator ratios? 2. How does this demonstrate what can be expected in actual crosses such as fruit flies? 3. Survey some of your classmates and determine if their results are similar or different from yours. Explain your findings. 4. What is the predicted phenotypic ratio for tall versus short offspring? In a sample of 100 offspring how many of each phenotype are expected? How many offspring of each phenotype were predicted by your calculator? 5. Based on the data produced by the calculator, determine a Chi-square value for both the phenotypes and genotypes produced. Remember the equation for Chi-Square is 2 (expected - observed) χ = expected What is the probability that your deviation is due to random chance? 2 Laying the Foundation in Biology 535

8 20 6. Are the results acceptable and meet the predicted results? Most biologists agree that deviations that have a chance probability greater than or equal to.05 (5% or 1 in 20) are not statistically significant. 7. If a person wanted to demonstrate a cross of Tt x tt with the graphing calculator, what changes in the procedure would need to be made? Table of Critical Values of X 2 p is the probability that the results could be due to chance alone. The numbers in parentheses below each value of p restate p in terms of chance: 9 in 10 likelihood that the results could be due chance alone. Degrees of freedom p = 0.9 (9 in 10) p = 0.5 (1 in 2) p = 0.2 (1 in 5) p = 0.05 (1 in 20) p = 0.01 (1 in 100) p = (1 in 1000) Laying the Foundation in Biology

Tribble Genotypes and Phenotypes

Tribble Genotypes and Phenotypes Name(s): Period: Tribble Genetics Instructions Step 1. Determine the genotype and phenotype of your F 1 tribbles based on inheritance of traits from purebred dominant and recessive parent tribbles. One

More information

Objectives. 2 To calculate the surface area/volume ratio of cubes and spheres. 2 To demonstrate an understanding of why cells need to be small

Objectives. 2 To calculate the surface area/volume ratio of cubes and spheres. 2 To demonstrate an understanding of why cells need to be small . Objectives 2 To calculate the surface area and volume of cubes and spheres of different sizes Activity 2 2 To calculate the surface area/volume ratio of cubes and spheres 2 To understand the relationship

More information

Family Based Association Tests Using the fbat package

Family Based Association Tests Using the fbat package Family Based Association Tests Using the fbat package Weiliang Qiu email: stwxq@channing.harvard.edu Ross Lazarus email: ross.lazarus@channing.harvard.edu Gregory Warnes email: warnes@bst.rochester.edu

More information

Descriptive Statistics, Standard Deviation and Standard Error

Descriptive Statistics, Standard Deviation and Standard Error AP Biology Calculations: Descriptive Statistics, Standard Deviation and Standard Error SBI4UP The Scientific Method & Experimental Design Scientific method is used to explore observations and answer questions.

More information

PLNT4610 BIOINFORMATICS FINAL EXAMINATION

PLNT4610 BIOINFORMATICS FINAL EXAMINATION PLNT4610 BIOINFORMATICS FINAL EXAMINATION 18:00 to 20:00 Thursday December 13, 2012 Answer any combination of questions totalling to exactly 100 points. The questions on the exam sheet total to 120 points.

More information

GRAPHING CALCULATOR REFERENCE BOOK

GRAPHING CALCULATOR REFERENCE BOOK John T. Baker Middle School GRAPHING CALCULATOR REFERENCE BOOK Name: Teacher: - 1 - To Graph an Equation: Graphing Linear Equations 1.) Press Y= and enter the equation into Y 1. 2.) To see the graph in

More information

TI-84 GRAPHING CALCULATOR

TI-84 GRAPHING CALCULATOR TI-84 GRAPHING CALCULATOR Table of Contents Set Up & Troubleshooting... 3 TI-84: Resetting the Calculator... 4 TI-84: Mode Settings... 5 Entering Data... 7 TI-84: Entering & Editing Lists of Data... 8

More information

Heads Up! (Continued)

Heads Up! (Continued) . Name Date A c t i v i t y 6 Heads Up! (Continued) In this activity, you will do more experiments with simulations and use a calculator program that will quickly simulate multiple coin tosses. The Problem

More information

INSTRUCTIONS FOR USING MICROSOFT EXCEL PERFORMING DESCRIPTIVE AND INFERENTIAL STATISTICS AND GRAPHING

INSTRUCTIONS FOR USING MICROSOFT EXCEL PERFORMING DESCRIPTIVE AND INFERENTIAL STATISTICS AND GRAPHING APPENDIX INSTRUCTIONS FOR USING MICROSOFT EXCEL PERFORMING DESCRIPTIVE AND INFERENTIAL STATISTICS AND GRAPHING (Developed by Dr. Dale Vogelien, Kennesaw State University) ** For a good review of basic

More information

Data Analysis Guidelines

Data Analysis Guidelines Data Analysis Guidelines DESCRIPTIVE STATISTICS Standard Deviation Standard deviation is a calculated value that describes the variation (or spread) of values in a data set. It is calculated using a formula

More information

CS5401 FS2015 Exam 1 Key

CS5401 FS2015 Exam 1 Key CS5401 FS2015 Exam 1 Key This is a closed-book, closed-notes exam. The only items you are allowed to use are writing implements. Mark each sheet of paper you use with your name and the string cs5401fs2015

More information

Breeding Guide. Customer Services PHENOME-NETWORKS 4Ben Gurion Street, 74032, Nes-Ziona, Israel

Breeding Guide. Customer Services PHENOME-NETWORKS 4Ben Gurion Street, 74032, Nes-Ziona, Israel Breeding Guide Customer Services PHENOME-NETWORKS 4Ben Gurion Street, 74032, Nes-Ziona, Israel www.phenome-netwoks.com Contents PHENOME ONE - INTRODUCTION... 3 THE PHENOME ONE LAYOUT... 4 THE JOBS ICON...

More information

Complete Assignment #1 listed below on WK #1 in packet. Textbook required!!!

Complete Assignment #1 listed below on WK #1 in packet. Textbook required!!! 400Algebra 2H ASSIGNMENT SHEETrev14 CHAPTER 3: Linear Functions with Review of Chapter 1 and 2 (3-1 to 3-4 Highlights on reverse side) Directions: 1. Review classwork and read each section in textbook

More information

My 5 th Grade Summer Math Practice Booklet

My 5 th Grade Summer Math Practice Booklet My 5 th Grade Summer Math Practice Booklet Name Number Sense 1. Write a ratio (fraction) comparing the number of rectangles to the number of triangles. Then write a ratio (fraction) comparing the number

More information

Overview. Background. Locating quantitative trait loci (QTL)

Overview. Background. Locating quantitative trait loci (QTL) Overview Implementation of robust methods for locating quantitative trait loci in R Introduction to QTL mapping Andreas Baierl and Andreas Futschik Institute of Statistics and Decision Support Systems

More information

Excel Tips and FAQs - MS 2010

Excel Tips and FAQs - MS 2010 BIOL 211D Excel Tips and FAQs - MS 2010 Remember to save frequently! Part I. Managing and Summarizing Data NOTE IN EXCEL 2010, THERE ARE A NUMBER OF WAYS TO DO THE CORRECT THING! FAQ1: How do I sort my

More information

Brief Guide on Using SPSS 10.0

Brief Guide on Using SPSS 10.0 Brief Guide on Using SPSS 10.0 (Use student data, 22 cases, studentp.dat in Dr. Chang s Data Directory Page) (Page address: http://www.cis.ysu.edu/~chang/stat/) I. Processing File and Data To open a new

More information

Applications. 72 Variables and Patterns

Applications. 72 Variables and Patterns Applications. Sean bought a DVD player and a receiver. The store offered him an interest-free payment plan with weekly installments. Sean figured out that after n weeks of payments, he would still owe

More information

CHAPTER 6. The Normal Probability Distribution

CHAPTER 6. The Normal Probability Distribution The Normal Probability Distribution CHAPTER 6 The normal probability distribution is the most widely used distribution in statistics as many statistical procedures are built around it. The central limit

More information

EXPLORING PATTERNS THAT INVOLVE SPACE AND MEASUREMENT: SOME EXAMPLE OF NON LINEAR PATTERNS OR GROWTH PATTERNS

EXPLORING PATTERNS THAT INVOLVE SPACE AND MEASUREMENT: SOME EXAMPLE OF NON LINEAR PATTERNS OR GROWTH PATTERNS EXPLORING PATTERNS THAT INVOLVE SPACE AND MEASUREMENT: SOME EXAMPLE OF NON LINEAR PATTERNS OR GROWTH PATTERNS KARSAN HUTCHINSON You need to work in a group of four for this learning experience. Two of

More information

Software Reference Sheet: Inserting and Organizing Data in a Spreadsheet

Software Reference Sheet: Inserting and Organizing Data in a Spreadsheet Inserting and formatting text Software Reference Sheet: Inserting and Organizing Data in a Spreadsheet Column headings are very important to include in your spreadsheet so that you can remember what the

More information

The Coefficient of Determination

The Coefficient of Determination The Coefficient of Determination Lecture 46 Section 13.9 Robb T. Koether Hampden-Sydney College Wed, Apr 17, 2012 Robb T. Koether (Hampden-Sydney College) The Coefficient of Determination Wed, Apr 17,

More information

Linkage analysis with paramlink Session I: Introduction and pedigree drawing

Linkage analysis with paramlink Session I: Introduction and pedigree drawing Linkage analysis with paramlink Session I: Introduction and pedigree drawing In this session we will introduce R, and in particular the package paramlink. This package provides a complete environment for

More information

2) familiarize you with a variety of comparative statistics biologists use to evaluate results of experiments;

2) familiarize you with a variety of comparative statistics biologists use to evaluate results of experiments; A. Goals of Exercise Biology 164 Laboratory Using Comparative Statistics in Biology "Statistics" is a mathematical tool for analyzing and making generalizations about a population from a number of individual

More information

Building Big Macs. Opening Explanation. Exploring. Student Hand-out

Building Big Macs. Opening Explanation. Exploring. Student Hand-out Student Hand-out Opening Explanation In this investigation we will explore the nature of a reaction from the POV (point of view) of the ingredients. When chemicals mix to form compounds they don t always

More information

PLNT4610 BIOINFORMATICS FINAL EXAMINATION

PLNT4610 BIOINFORMATICS FINAL EXAMINATION 9:00 to 11:00 Friday December 6, 2013 PLNT4610 BIOINFORMATICS FINAL EXAMINATION Answer any combination of questions totalling to exactly 100 points. The questions on the exam sheet total to 120 points.

More information

The Garbage Problem TEACHER NOTES. About the Lesson. Vocabulary. Teacher Preparation and Notes. Activity Materials

The Garbage Problem TEACHER NOTES. About the Lesson. Vocabulary. Teacher Preparation and Notes. Activity Materials About the Lesson In this activity, students will examine data about garbage production, observe comparisons in the data, make predictions based on the data, sketch a graph based on their predictions and

More information

Overview. FIT3094 AI, A-Life and Virtual Environments Assignment 2 - The Artificial, Aesthetic Evolution of Flowers

Overview. FIT3094 AI, A-Life and Virtual Environments Assignment 2 - The Artificial, Aesthetic Evolution of Flowers FIT3094 AI, A-Life and Virtual Environments Assignment 2 - The Artificial, Aesthetic Evolution of Flowers In this assignment you will be guided step-by-step through the design and implementation of an

More information

1. What specialist uses information obtained from bones to help police solve crimes?

1. What specialist uses information obtained from bones to help police solve crimes? Mathematics: Modeling Our World Unit 4: PREDICTION HANDOUT VIDEO VIEWING GUIDE H4.1 1. What specialist uses information obtained from bones to help police solve crimes? 2.What are some things that can

More information

Genetic Programming. Charles Chilaka. Department of Computational Science Memorial University of Newfoundland

Genetic Programming. Charles Chilaka. Department of Computational Science Memorial University of Newfoundland Genetic Programming Charles Chilaka Department of Computational Science Memorial University of Newfoundland Class Project for Bio 4241 March 27, 2014 Charles Chilaka (MUN) Genetic algorithms and programming

More information

23.2 Normal Distributions

23.2 Normal Distributions 1_ Locker LESSON 23.2 Normal Distributions Common Core Math Standards The student is expected to: S-ID.4 Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate

More information

Step-by-Step Guide to Basic Genetic Analysis

Step-by-Step Guide to Basic Genetic Analysis Step-by-Step Guide to Basic Genetic Analysis Page 1 Introduction This document shows you how to clean up your genetic data, assess its statistical properties and perform simple analyses such as case-control

More information

Continued =5.28

Continued =5.28 Chapter Nine Graphing and Introduction to Statistics Learning Objectives: Ch 9 What is mean, medians, and mode? Tables, pictographs, and bar charts Line graphs and predications Creating bar graphs and

More information

Quantitative - One Population

Quantitative - One Population Quantitative - One Population The Quantitative One Population VISA procedures allow the user to perform descriptive and inferential procedures for problems involving one population with quantitative (interval)

More information

Affymetrix GeneChip DNA Analysis Software

Affymetrix GeneChip DNA Analysis Software Affymetrix GeneChip DNA Analysis Software User s Guide Version 3.0 For Research Use Only. Not for use in diagnostic procedures. P/N 701454 Rev. 3 Trademarks Affymetrix, GeneChip, EASI,,,, HuSNP, GenFlex,

More information

The Bigger, the Better?

The Bigger, the Better? Introduction In this activity you will calculate the surface area of different shaped cell models, calculate the volume of different shaped cell models, understand the differences in cells, and their functions

More information

8 th Grade Mathematics Unpacked Content For the new Common Core standards that will be effective in all North Carolina schools in the

8 th Grade Mathematics Unpacked Content For the new Common Core standards that will be effective in all North Carolina schools in the 8 th Grade Mathematics Unpacked Content For the new Common Core standards that will be effective in all North Carolina schools in the 2012-13. This document is designed to help North Carolina educators

More information

SOLOMON: Parentage Analysis 1. Corresponding author: Mark Christie

SOLOMON: Parentage Analysis 1. Corresponding author: Mark Christie SOLOMON: Parentage Analysis 1 Corresponding author: Mark Christie christim@science.oregonstate.edu SOLOMON: Parentage Analysis 2 Table of Contents: Installing SOLOMON on Windows/Linux Pg. 3 Installing

More information

Microsoft Excel Using Excel in the Science Classroom

Microsoft Excel Using Excel in the Science Classroom Microsoft Excel Using Excel in the Science Classroom OBJECTIVE Students will take data and use an Excel spreadsheet to manipulate the information. This will include creating graphs, manipulating data,

More information

Week 7: The normal distribution and sample means

Week 7: The normal distribution and sample means Week 7: The normal distribution and sample means Goals Visualize properties of the normal distribution. Learning the Tools Understand the Central Limit Theorem. Calculate sampling properties of sample

More information

Goodness-of-Fit Testing T.Scofield Nov. 16, 2016

Goodness-of-Fit Testing T.Scofield Nov. 16, 2016 Goodness-of-Fit Testing T.Scofield Nov. 16, 2016 We do goodness-of-fit testing with a single categorical variable, to see if the distribution of its sampled values fits a specified probability model. The

More information

Multivariate Normal Random Numbers

Multivariate Normal Random Numbers Multivariate Normal Random Numbers Revised: 10/11/2017 Summary... 1 Data Input... 3 Analysis Options... 4 Analysis Summary... 5 Matrix Plot... 6 Save Results... 8 Calculations... 9 Summary This procedure

More information

BICF Nano Course: GWAS GWAS Workflow Development using PLINK. Julia Kozlitina April 28, 2017

BICF Nano Course: GWAS GWAS Workflow Development using PLINK. Julia Kozlitina April 28, 2017 BICF Nano Course: GWAS GWAS Workflow Development using PLINK Julia Kozlitina Julia.Kozlitina@UTSouthwestern.edu April 28, 2017 Getting started Open the Terminal (Search -> Applications -> Terminal), and

More information

UNC Charlotte 2010 Comprehensive

UNC Charlotte 2010 Comprehensive 00 Comprehensive March 8, 00. A cubic equation x 4x x + a = 0 has three roots, x, x, x. If x = x + x, what is a? (A) 4 (B) 8 (C) 0 (D) (E) 6. For which value of a is the polynomial P (x) = x 000 +ax+9

More information

MS in Quality Management Science : III SEMESTER : MID-TERM EXAMINATION

MS in Quality Management Science : III SEMESTER : MID-TERM EXAMINATION INDIAN STATISTICAL INSTITUTE SQC & OR Unit, Hyderabad MS in Quality Management Science : 2014-16 III SEMESTER : MID-TERM EXAMINATION Subject : Six Sigma Business Excellence Strategies and Problem Solving

More information

Suppose you have a problem You don t know how to solve it What can you do? Can you use a computer to somehow find a solution for you?

Suppose you have a problem You don t know how to solve it What can you do? Can you use a computer to somehow find a solution for you? Gurjit Randhawa Suppose you have a problem You don t know how to solve it What can you do? Can you use a computer to somehow find a solution for you? This would be nice! Can it be done? A blind generate

More information

1. Descriptive Statistics

1. Descriptive Statistics 1.1 Descriptive statistics 1. Descriptive Statistics A Data management Before starting any statistics analysis with a graphics calculator, you need to enter the data. We will illustrate the process by

More information

8. MINITAB COMMANDS WEEK-BY-WEEK

8. MINITAB COMMANDS WEEK-BY-WEEK 8. MINITAB COMMANDS WEEK-BY-WEEK In this section of the Study Guide, we give brief information about the Minitab commands that are needed to apply the statistical methods in each week s study. They are

More information

THE UNIVERSITY OF BRITISH COLUMBIA FORESTRY 430 and 533. Time: 50 minutes 40 Marks FRST Marks FRST 533 (extra questions)

THE UNIVERSITY OF BRITISH COLUMBIA FORESTRY 430 and 533. Time: 50 minutes 40 Marks FRST Marks FRST 533 (extra questions) THE UNIVERSITY OF BRITISH COLUMBIA FORESTRY 430 and 533 MIDTERM EXAMINATION: October 14, 2005 Instructor: Val LeMay Time: 50 minutes 40 Marks FRST 430 50 Marks FRST 533 (extra questions) This examination

More information

Using Excel for Graphical Analysis of Data

Using Excel for Graphical Analysis of Data Using Excel for Graphical Analysis of Data Introduction In several upcoming labs, a primary goal will be to determine the mathematical relationship between two variable physical parameters. Graphs are

More information

Glossary Flash Cards. acute angle. absolute value. Additive Inverse Property. Big Ideas Math Red

Glossary Flash Cards. acute angle. absolute value. Additive Inverse Property. Big Ideas Math Red Glossary Flash Cards absolute value acute angle Addition Property of Equality additive inverse Additive Inverse Property angle Copyright Big Ideas Learning, LLC Big Ideas Math Red 1 An angle whose measure

More information

Practical OmicsFusion

Practical OmicsFusion Practical OmicsFusion Introduction In this practical, we will analyse data, from an experiment which aim was to identify the most important metabolites that are related to potato flesh colour, from an

More information

MINITAB 17 BASICS REFERENCE GUIDE

MINITAB 17 BASICS REFERENCE GUIDE MINITAB 17 BASICS REFERENCE GUIDE Dr. Nancy Pfenning September 2013 After starting MINITAB, you'll see a Session window above and a worksheet below. The Session window displays non-graphical output such

More information

One Factor Experiments

One Factor Experiments One Factor Experiments 20-1 Overview Computation of Effects Estimating Experimental Errors Allocation of Variation ANOVA Table and F-Test Visual Diagnostic Tests Confidence Intervals For Effects Unequal

More information

MAN Package for pedigree analysis. Contents.

MAN Package for pedigree analysis. Contents. 1 MAN Package for pedigree analysis. Contents. Introduction 5 1. Operations with pedigree data. 5 1.1. Data input options. 5 1.1.1. Import from file. 5 1.1.2. Manual input. 7 1.2. Drawing of the pedigree

More information

(Coins & Distributions & Bias s)

(Coins & Distributions & Bias s) (Coins & Distributions & Bias s) If you were to take 10 coins and flip them and count the heads, how many coins would you expect to be heads up? Try a brief experiment. Flip 10 coins, count the number

More information

THIS IS NOT REPRESNTATIVE OF CURRENT CLASS MATERIAL. STOR 455 Midterm 1 September 28, 2010

THIS IS NOT REPRESNTATIVE OF CURRENT CLASS MATERIAL. STOR 455 Midterm 1 September 28, 2010 THIS IS NOT REPRESNTATIVE OF CURRENT CLASS MATERIAL STOR 455 Midterm September 8, INSTRUCTIONS: BOTH THE EXAM AND THE BUBBLE SHEET WILL BE COLLECTED. YOU MUST PRINT YOUR NAME AND SIGN THE HONOR PLEDGE

More information

Research Methods for Business and Management. Session 8a- Analyzing Quantitative Data- using SPSS 16 Andre Samuel

Research Methods for Business and Management. Session 8a- Analyzing Quantitative Data- using SPSS 16 Andre Samuel Research Methods for Business and Management Session 8a- Analyzing Quantitative Data- using SPSS 16 Andre Samuel A Simple Example- Gym Purpose of Questionnaire- to determine the participants involvement

More information

Teacher Notes. Exploration: Solving a Pair of Linear Equations by Graphing

Teacher Notes. Exploration: Solving a Pair of Linear Equations by Graphing Exploration 26 Teacher Notes Exploration: Solving a Pair of Linear Equations by Graphing Learning outcomes addressed 5.1 Graph a pair of linear equations and estimate their solution using the Intersection

More information

ANSWERS -- Prep for Psyc350 Laboratory Final Statistics Part Prep a

ANSWERS -- Prep for Psyc350 Laboratory Final Statistics Part Prep a ANSWERS -- Prep for Psyc350 Laboratory Final Statistics Part Prep a Put the following data into an spss data set: Be sure to include variable and value labels and missing value specifications for all variables

More information

Basic Tree Building With PAUP

Basic Tree Building With PAUP Phylogenetic Tree Building Objectives 1. Understand the principles of phylogenetic thinking. 2. Be able to develop and test a phylogenetic hypothesis. 3. Be able to interpret a phylogenetic tree. Overview

More information

Learner Expectations UNIT 1: GRAPICAL AND NUMERIC REPRESENTATIONS OF DATA. Sept. Fathom Lab: Distributions and Best Methods of Display

Learner Expectations UNIT 1: GRAPICAL AND NUMERIC REPRESENTATIONS OF DATA. Sept. Fathom Lab: Distributions and Best Methods of Display CURRICULUM MAP TEMPLATE Priority Standards = Approximately 70% Supporting Standards = Approximately 20% Additional Standards = Approximately 10% HONORS PROBABILITY AND STATISTICS Essential Questions &

More information

Lesson 13: The Graph of a Linear Equation in Two Variables

Lesson 13: The Graph of a Linear Equation in Two Variables Student Outcomes Students predict the shape of a graph of a linear equation by finding and plotting solutions on a coordinate plane. Students informally explain why the graph of a linear equation is not

More information

Building Concepts: Building Expressions

Building Concepts: Building Expressions Lesson Overview Algebraic Focus: What does it mean to say two expressions are equivalent? In this lesson students view expressions as objects in their own right and interpret the form and structure of

More information

CURRICULUM UNIT MAP 1 ST QUARTER. COURSE TITLE: Mathematics GRADE: 8

CURRICULUM UNIT MAP 1 ST QUARTER. COURSE TITLE: Mathematics GRADE: 8 1 ST QUARTER Unit:1 DATA AND PROBABILITY WEEK 1 3 - OBJECTIVES Select, create, and use appropriate graphical representations of data Compare different representations of the same data Find, use, and interpret

More information

Testing for Truth TEACHER NOTES. About the Lesson. Vocabulary. Teacher Preparation and Notes. Activity Materials

Testing for Truth TEACHER NOTES. About the Lesson. Vocabulary. Teacher Preparation and Notes. Activity Materials About the Lesson In this activity, students will identify whether points lie within a shaded region that is bounded by linear inequalities. he focus is on testing the points for truth in the inequality.

More information

Statistics: Normal Distribution, Sampling, Function Fitting & Regression Analysis (Grade 12) *

Statistics: Normal Distribution, Sampling, Function Fitting & Regression Analysis (Grade 12) * OpenStax-CNX module: m39305 1 Statistics: Normal Distribution, Sampling, Function Fitting & Regression Analysis (Grade 12) * Free High School Science Texts Project This work is produced by OpenStax-CNX

More information

Distributions of Continuous Data

Distributions of Continuous Data C H A P T ER Distributions of Continuous Data New cars and trucks sold in the United States average about 28 highway miles per gallon (mpg) in 2010, up from about 24 mpg in 2004. Some of the improvement

More information

Activity 7. Modeling Exponential Decay with a Look at Asymptotes. Objectives. Introduction. Modeling the Experiment: Casting Out Sixes

Activity 7. Modeling Exponential Decay with a Look at Asymptotes. Objectives. Introduction. Modeling the Experiment: Casting Out Sixes Objectives Activity 7 Modeling Exponential Decay with a Look at Asymptotes Define parameters A and B in the exponential equation y = ab x Understand asymptotes, particularly non-zero asymptotes Identify

More information

6th Grade Vocabulary Mathematics Unit 2

6th Grade Vocabulary Mathematics Unit 2 6 th GRADE UNIT 2 6th Grade Vocabulary Mathematics Unit 2 VOCABULARY area triangle right triangle equilateral triangle isosceles triangle scalene triangle quadrilaterals polygons irregular polygons rectangles

More information

Building Concepts: Visualizing Equations Using Mobiles

Building Concepts: Visualizing Equations Using Mobiles Lesson Overview In this TI-Nspire lesson, students explore interactive mobiles for modeling one or more equations. Students are given specific constraints and use solution preserving moves to reinforce

More information

Bluman & Mayer, Elementary Statistics, A Step by Step Approach, Canadian Edition

Bluman & Mayer, Elementary Statistics, A Step by Step Approach, Canadian Edition Bluman & Mayer, Elementary Statistics, A Step by Step Approach, Canadian Edition Online Learning Centre Technology Step-by-Step - Minitab Minitab is a statistical software application originally created

More information

Excel 2010 with XLSTAT

Excel 2010 with XLSTAT Excel 2010 with XLSTAT J E N N I F E R LE W I S PR I E S T L E Y, PH.D. Introduction to Excel 2010 with XLSTAT The layout for Excel 2010 is slightly different from the layout for Excel 2007. However, with

More information

Female Brown Bear Weights

Female Brown Bear Weights CC-20 Normal Distributions Common Core State Standards MACC.92.S-ID..4 Use the mean and standard of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that

More information

Statistical Methods for NLP LT 2202

Statistical Methods for NLP LT 2202 LT 2202 Lecture 5 Statistical inference January 31, 2012 Summary of lecture 4 Probabilities and statistics in Python Scipy Matplotlib Descriptive statistics Random sample Sample mean Sample variance and

More information

Teachers Teaching with Technology (Scotland) Teachers Teaching with Technology. Scotland T 3. Matrices. Teachers Teaching with Technology (Scotland)

Teachers Teaching with Technology (Scotland) Teachers Teaching with Technology. Scotland T 3. Matrices. Teachers Teaching with Technology (Scotland) Teachers Teaching with Technology (Scotland) Teachers Teaching with Technology T 3 Scotland Matrices Teachers Teaching with Technology (Scotland) MATRICES Aim To demonstrate how the TI-83 can be used to

More information

Introduction to GEMINI

Introduction to GEMINI Introduction to GEMINI Aaron Quinlan University of Utah! quinlanlab.org Please refer to the following Github Gist to find each command for this session. Commands should be copy/pasted from this Gist https://gist.github.com/arq5x/9e1928638397ba45da2e#file-gemini-intro-sh

More information

Math 101 Final Exam Study Notes:

Math 101 Final Exam Study Notes: Math 101 Final Exam Study Notes: *Please remember there is a large set of final exam review problems in Doc Sharing (under Course Tools in MLP). Highlighted are what might be considered formulas* I. Graph

More information

Graphical Analysis TEACHER NOTES SCIENCE NSPIRED. Science Objectives. Vocabulary. About the Lesson. TI-Nspire Navigator. Activity Materials

Graphical Analysis TEACHER NOTES SCIENCE NSPIRED. Science Objectives. Vocabulary. About the Lesson. TI-Nspire Navigator. Activity Materials Science Objectives Students will interpret a graph. Students will linearize data to find the mathematical relationship between two variables. Vocabulary data directly proportional inverse inversely proportional

More information

MEASURES OF CENTRAL TENDENCY

MEASURES OF CENTRAL TENDENCY 11.1 Find Measures of Central Tendency and Dispersion STATISTICS Numerical values used to summarize and compare sets of data MEASURE OF CENTRAL TENDENCY A number used to represent the center or middle

More information

2 nd Grade Math Learning Targets. Algebra:

2 nd Grade Math Learning Targets. Algebra: 2 nd Grade Math Learning Targets Algebra: 2.A.2.1 Students are able to use concepts of equal to, greater than, and less than to compare numbers (0-100). - I can explain what equal to means. (2.A.2.1) I

More information

Introductory Applied Statistics: A Variable Approach TI Manual

Introductory Applied Statistics: A Variable Approach TI Manual Introductory Applied Statistics: A Variable Approach TI Manual John Gabrosek and Paul Stephenson Department of Statistics Grand Valley State University Allendale, MI USA Version 1.1 August 2014 2 Copyright

More information

Package EMLRT. August 7, 2014

Package EMLRT. August 7, 2014 Package EMLRT August 7, 2014 Type Package Title Association Studies with Imputed SNPs Using Expectation-Maximization-Likelihood-Ratio Test LazyData yes Version 1.0 Date 2014-08-01 Author Maintainer

More information

troduction to Algebra Section 8.1

troduction to Algebra Section 8.1 Chapter Eight Graphing and Introduction to Statistics Section 8.1 Reading Pictographs, Bar Graphs, Histograms, and Line Graphs Pictographs A pictograph is a graph in which pictures or symbols are used.

More information

Statistical Package for the Social Sciences INTRODUCTION TO SPSS SPSS for Windows Version 16.0: Its first version in 1968 In 1975.

Statistical Package for the Social Sciences INTRODUCTION TO SPSS SPSS for Windows Version 16.0: Its first version in 1968 In 1975. Statistical Package for the Social Sciences INTRODUCTION TO SPSS SPSS for Windows Version 16.0: Its first version in 1968 In 1975. SPSS Statistics were designed INTRODUCTION TO SPSS Objective About the

More information

CC INTEGRATED II ETOOLS

CC INTEGRATED II ETOOLS CC INTEGRATED II ETOOLS Table of Contents General etools... 4 Algebra Tiles (CPM)... 5 Pattern Tile & Dot Tool (CPM)... 8 Similarity Toolkit (CPM)...10 Probability Tools (CPM)...12 Desmos Graphing Calculator...16

More information

CREATING THE ANALYSIS

CREATING THE ANALYSIS Chapter 14 Multiple Regression Chapter Table of Contents CREATING THE ANALYSIS...214 ModelInformation...217 SummaryofFit...217 AnalysisofVariance...217 TypeIIITests...218 ParameterEstimates...218 Residuals-by-PredictedPlot...219

More information

A Multiple-Line Fitting Algorithm Without Initialization Yan Guo

A Multiple-Line Fitting Algorithm Without Initialization Yan Guo A Multiple-Line Fitting Algorithm Without Initialization Yan Guo Abstract: The commonest way to fit multiple lines is to use methods incorporate the EM algorithm. However, the EM algorithm dose not guarantee

More information

adjacent angles Two angles in a plane which share a common vertex and a common side, but do not overlap. Angles 1 and 2 are adjacent angles.

adjacent angles Two angles in a plane which share a common vertex and a common side, but do not overlap. Angles 1 and 2 are adjacent angles. Angle 1 Angle 2 Angles 1 and 2 are adjacent angles. Two angles in a plane which share a common vertex and a common side, but do not overlap. adjacent angles 2 5 8 11 This arithmetic sequence has a constant

More information

Excel. Spreadsheet functions

Excel. Spreadsheet functions Excel Spreadsheet functions Objectives Week 1 By the end of this session you will be able to :- Move around workbooks and worksheets Insert and delete rows and columns Calculate with the Auto Sum function

More information

The Normal Distribution & z-scores

The Normal Distribution & z-scores & z-scores Distributions: Who needs them? Why are we interested in distributions? Important link between distributions and probabilities of events If we know the distribution of a set of events, then we

More information

Genome Assembly Using de Bruijn Graphs. Biostatistics 666

Genome Assembly Using de Bruijn Graphs. Biostatistics 666 Genome Assembly Using de Bruijn Graphs Biostatistics 666 Previously: Reference Based Analyses Individual short reads are aligned to reference Genotypes generated by examining reads overlapping each position

More information

Graphical Analysis of Data using Microsoft Excel [2016 Version]

Graphical Analysis of Data using Microsoft Excel [2016 Version] Graphical Analysis of Data using Microsoft Excel [2016 Version] Introduction In several upcoming labs, a primary goal will be to determine the mathematical relationship between two variable physical parameters.

More information

= 3 + (5*4) + (1/2)*(4/2)^2.

= 3 + (5*4) + (1/2)*(4/2)^2. Physics 100 Lab 1: Use of a Spreadsheet to Analyze Data by Kenneth Hahn and Michael Goggin In this lab you will learn how to enter data into a spreadsheet and to manipulate the data in meaningful ways.

More information

For our example, we will look at the following factors and factor levels.

For our example, we will look at the following factors and factor levels. In order to review the calculations that are used to generate the Analysis of Variance, we will use the statapult example. By adjusting various settings on the statapult, you are able to throw the ball

More information

The Mailbox MATH NSPIRED. Math Objectives. About the Lesson. TI-Nspire Navigator System. Activity Materials TEACHER NOTES

The Mailbox MATH NSPIRED. Math Objectives. About the Lesson. TI-Nspire Navigator System. Activity Materials TEACHER NOTES Math Objectives Students will use volume formulas to solve problems. Students will recognize that the area of a composite shape is the sum of the areas of its smaller parts. Students will determine the

More information

NUMB3RS Activity: I It Itera Iteration. Episode: Rampage

NUMB3RS Activity: I It Itera Iteration. Episode: Rampage Teacher Page 1 NUMB3RS Activity: I It Itera Iteration Topic: Iterative processes Grade Level: 9-12 Objective: Examine random iterative processes and their outcomes Time: about 45 minutes Materials: TI-83/84

More information

MAT 110 WORKSHOP. Updated Fall 2018

MAT 110 WORKSHOP. Updated Fall 2018 MAT 110 WORKSHOP Updated Fall 2018 UNIT 3: STATISTICS Introduction Choosing a Sample Simple Random Sample: a set of individuals from the population chosen in a way that every individual has an equal chance

More information

Homework 1 Excel Basics

Homework 1 Excel Basics Homework 1 Excel Basics Excel is a software program that is used to organize information, perform calculations, and create visual displays of the information. When you start up Excel, you will see the

More information

demonstrate an understanding of the exponent rules of multiplication and division, and apply them to simplify expressions Number Sense and Algebra

demonstrate an understanding of the exponent rules of multiplication and division, and apply them to simplify expressions Number Sense and Algebra MPM 1D - Grade Nine Academic Mathematics This guide has been organized in alignment with the 2005 Ontario Mathematics Curriculum. Each of the specific curriculum expectations are cross-referenced to the

More information