Data Analysis & Probability
|
|
- Imogen Clark
- 5 years ago
- Views:
Transcription
1 Unit 5 Probability Distributions Name: Date: Hour: Section 7.2: The Standard Normal Distribution (Area under the curve) Notes By the end of this lesson, you will be able to Find the area under the standard normal curve. Find z-scores for a given area Interpret the area under the standard normal curve as a probability Review: ~ If X is a normally distributed random variable, we can use the under the normal density function to find the that a randomly selected individual from the population has a certain characteristic. ~ We can relate a normal random variable to the standard normal random variable through the Z-score Z The STANDARD normal curve is the one with mean μ = 0 and standard deviation σ = 1. ~ It has the same properties as any normal curve - inflection points are at µ + σ and µ - σ - the graph is symmetric about the mean - Its highest point is the mean - the area under the curve is 1 - The Empirical Rule applies Finding the Area Under the Curve when given Z-Scores. Example 1: Find the area under the standard normal curve between Z= and Z = Step 1: First, draw a standard normal curve. Step 2: USE YOUR CALCULATOR! Press 2 nd VARS Select 2: normalcdf( Then enter your boundsseparated by commas: normaldcf(lower bound, upper bound) Hit Enter NOTE: No lower bound? Use -1E99 No upper bound? Use 1E99 *Pressing 2 nd, (comma) gets you the E*
2 Example 2: Sketch and find the area under the standard normal curve to the RIGHT of Z = Example 3: Sketch and find the area under the standard normal curve to the LEFT of Z=2.23. Finding a Z-score from a Specified Area Example 4 (Specified area to the LEFT): Find the Z-score so that the area to the left of the Z-score is Step 1: USE YOUR CALCULATOR! Press 2 nd VARS Select 3: invnorm( Then enter your area to the left: invnorm( area to the left ) Hit Enter Example 5 (Specified area to the RIGHT): Find the Z-score so that the area to the right of the Z-score is.0351
3 Example 6: Find the Z-score that separates the lower 60% from the upper 40%. Example 7: Find the Z-score for which 43.1% of the data is to the right of. Example 8: Find the value of z0.10 **This notation means: Find the z-score so that the area under the standard normal curve to the right is 0.10.
4 Quick Check Section 7.2: The Standard Normal Distribution (Area under the curve) Self-Assessment 1. Sketch and find the area under the curve to the right of the Z= Sketch and find the value of z0.21. Learning Goals Find the area under the standard normal curve. Find z-scores for a given area Self-Assessment I am unsure of or confused about this I am ready to start practicing I am already good at this Interpret the area under the standard normal curve as a probability My Goals for Today- thinking about what I am good at, where am I confused and what do I need to work on? What do I do if I am confused or need to work on a learning target?
5 Name: Date: Hour: Unit 5 Probability Distributions Section 7.2: The Standard Normal Distribution (Area under the curve) Homework ROUND ALL AREAS TO FOUR DECIMAL PLACES AND Z-SCORES TO 2 DECIMAL PLACES 1. Determine the area under the standard normal curve that lies to the left of Z= Determine the area under the standard normal curve that lies to the left of Z = Determine the area under the standard normal curve that lies to the right of Z= Determine the area under the standard normal curve that lies between Z = and Z = Determine the area under the standard normal curve that lies to the right of Z = Determine the area under the standard normal curve that lies between Z = and Z = Determine the area under the standard normal curve that lies to the left of Z = -2 or to the right of Z = 2.
6 8. Determine the area under the standard normal curve that lies to the left of Z = or to the right of Z = Find the Z-score such that the area under the standard normal curve to the left of Find the Z-score such that the area under the standard normal curve to the right is Find the Z-score such that the area under the standard normal curve to the right is Find the Z-score such that the area under the standard normal curve to the left is Find the Z-score that separates the lower 20% and upper 80% of data. 14. Find the Z-score that 33.3% of the data lies to the left of. 15. Find the Z-score that 67% of the data lies to the right of.
Probability Distributions
Unit 5 Probability Distributions Section 7.3A: Applications of the Normal Distribution Notes By the end of this lesson, you will be able to Find and interpret the area under a normal curve Find the value
More informationThe Normal Distribution
Chapter 6 The Normal Distribution Continuous random variables are used to approximate probabilities where there are many possibilities or an infinite number of possibilities on a given trial. One of the
More informationNormal Distribution. 6.4 Applications of Normal Distribution
Normal Distribution 6.4 Applications of Normal Distribution 1 /20 Homework Read Sec 6-4. Discussion question p316 Do p316 probs 1-10, 16-22, 31, 32, 34-37, 39 2 /20 3 /20 Objective Find the probabilities
More information7.2. The Standard Normal Distribution
7.2 The Standard Normal Distribution Standard Normal The standard normal curve is the one with mean μ = 0 and standard deviation σ = 1 We have related the general normal random variable to the standard
More informationChapter 6. THE NORMAL DISTRIBUTION
Chapter 6. THE NORMAL DISTRIBUTION Introducing Normally Distributed Variables The distributions of some variables like thickness of the eggshell, serum cholesterol concentration in blood, white blood cells
More informationLearning Objectives. Continuous Random Variables & The Normal Probability Distribution. Continuous Random Variable
Learning Objectives Continuous Random Variables & The Normal Probability Distribution 1. Understand characteristics about continuous random variables and probability distributions 2. Understand the uniform
More informationChapter 6. THE NORMAL DISTRIBUTION
Chapter 6. THE NORMAL DISTRIBUTION Introducing Normally Distributed Variables The distributions of some variables like thickness of the eggshell, serum cholesterol concentration in blood, white blood cells
More informationThe Normal Distribution
The Normal Distribution Lecture 20 Section 6.3.1 Robb T. Koether Hampden-Sydney College Wed, Sep 28, 2011 Robb T. Koether (Hampden-Sydney College) The Normal Distribution Wed, Sep 28, 2011 1 / 41 Outline
More information6-1 THE STANDARD NORMAL DISTRIBUTION
6-1 THE STANDARD NORMAL DISTRIBUTION The major focus of this chapter is the concept of a normal probability distribution, but we begin with a uniform distribution so that we can see the following two very
More informationSection 2.2 Normal Distributions
Section 2.2 Mrs. Daniel AP Statistics We abbreviate the Normal distribution with mean µ and standard deviation σ as N(µ,σ). Any particular Normal distribution is completely specified by two numbers: its
More informationIntroduction to the Practice of Statistics Fifth Edition Moore, McCabe
Introduction to the Practice of Statistics Fifth Edition Moore, McCabe Section 1.3 Homework Answers Assignment 5 1.80 If you ask a computer to generate "random numbers between 0 and 1, you uniform will
More informationLecture 21 Section Fri, Oct 3, 2008
Lecture 21 Section 6.3.1 Hampden-Sydney College Fri, Oct 3, 2008 Outline 1 2 3 4 5 6 Exercise 6.15, page 378. A young woman needs a 15-ampere fuse for the electrical system in her apartment and has decided
More informationCHAPTER 2 Modeling Distributions of Data
CHAPTER 2 Modeling Distributions of Data 2.2 Density Curves and Normal Distributions The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Density Curves
More informationCHAPTER 2 Modeling Distributions of Data
CHAPTER 2 Modeling Distributions of Data 2.2 Density Curves and Normal Distributions The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers HW 34. Sketch
More information1. The Normal Distribution, continued
Math 1125-Introductory Statistics Lecture 16 10/9/06 1. The Normal Distribution, continued Recall that the standard normal distribution is symmetric about z = 0, so the area to the right of zero is 0.5000.
More informationChapter 2 Modeling Distributions of Data
Chapter 2 Modeling Distributions of Data Section 2.1 Describing Location in a Distribution Describing Location in a Distribution Learning Objectives After this section, you should be able to: FIND and
More informationChapter 2: The Normal Distribution
Chapter 2: The Normal Distribution 2.1 Density Curves and the Normal Distributions 2.2 Standard Normal Calculations 1 2 Histogram for Strength of Yarn Bobbins 15.60 16.10 16.60 17.10 17.60 18.10 18.60
More informationLecture Slides. Elementary Statistics Twelfth Edition. by Mario F. Triola. and the Triola Statistics Series. Section 6.2-1
Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series by Mario F. Triola Section 6.2-1 Chapter 6 Normal Probability Distributions 6-1 Review and Preview 6-2 The Standard
More informationCHAPTER 2 Modeling Distributions of Data
CHAPTER 2 Modeling Distributions of Data 2.2 Density Curves and Normal Distributions The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Density Curves
More informationChapter 2: Modeling Distributions of Data
Chapter 2: Modeling Distributions of Data Section 2.2 The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE Chapter 2 Modeling Distributions of Data 2.1 Describing Location in a Distribution
More informationMAT 102 Introduction to Statistics Chapter 6. Chapter 6 Continuous Probability Distributions and the Normal Distribution
MAT 102 Introduction to Statistics Chapter 6 Chapter 6 Continuous Probability Distributions and the Normal Distribution 6.2 Continuous Probability Distributions Characteristics of a Continuous Probability
More informationChapter 2: Statistical Models for Distributions
Chapter 2: Statistical Models for Distributions 2.2 Normal Distributions In Chapter 2 of YMS, we learn that distributions of data can be approximated by a mathematical model known as a density curve. In
More informationKey: 5 9 represents a team with 59 wins. (c) The Kansas City Royals and Cleveland Indians, who both won 65 games.
AP statistics Chapter 2 Notes Name Modeling Distributions of Data Per Date 2.1A Distribution of a variable is the a variable takes and it takes that value. When working with quantitative data we can calculate
More informationSTA Module 4 The Normal Distribution
STA 2023 Module 4 The Normal Distribution Learning Objectives Upon completing this module, you should be able to 1. Explain what it means for a variable to be normally distributed or approximately normally
More informationSTA /25/12. Module 4 The Normal Distribution. Learning Objectives. Let s Look at Some Examples of Normal Curves
STA 2023 Module 4 The Normal Distribution Learning Objectives Upon completing this module, you should be able to 1. Explain what it means for a variable to be normally distributed or approximately normally
More informationUnit 7 Statistics. AFM Mrs. Valentine. 7.1 Samples and Surveys
Unit 7 Statistics AFM Mrs. Valentine 7.1 Samples and Surveys v Obj.: I will understand the different methods of sampling and studying data. I will be able to determine the type used in an example, and
More informationSec 6.3. Bluman, Chapter 6 1
Sec 6.3 Bluman, Chapter 6 1 Bluman, Chapter 6 2 Review: Find the z values; the graph is symmetrical. z = ±1. 96 z 0 z the total area of the shaded regions=5% Bluman, Chapter 6 3 Review: Find the z values;
More informationChapter 6 Normal Probability Distributions
Chapter 6 Normal Probability Distributions 6-1 Review and Preview 6-2 The Standard Normal Distribution 6-3 Applications of Normal Distributions 6-4 Sampling Distributions and Estimators 6-5 The Central
More information3.5 Applying the Normal Distribution: Z - Scores
3.5 Applying the Normal Distribution: Z - Scores Objective: Today s lesson will answer the following questions: 1. How can you use the normal curve to accurately determine the percent of data that lies
More information23.2 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 informationThe first few questions on this worksheet will deal with measures of central tendency. These data types tell us where the center of the data set lies.
Instructions: You are given the following data below these instructions. Your client (Courtney) wants you to statistically analyze the data to help her reach conclusions about how well she is teaching.
More informationChapter 3: Data Description - Part 3. Homework: Exercises 1-21 odd, odd, odd, 107, 109, 118, 119, 120, odd
Chapter 3: Data Description - Part 3 Read: Sections 1 through 5 pp 92-149 Work the following text examples: Section 3.2, 3-1 through 3-17 Section 3.3, 3-22 through 3.28, 3-42 through 3.82 Section 3.4,
More informationSection 7.2: Applications of the Normal Distribution
Section 7.2: Applications of the Normal Distribution Objectives By the end of this lesson, you will be able to... 1. find and interpret the area under a normal curve 2. find the value of a normal random
More information6.25 x Type the given number into the calculator. 2. Click Mode, and select SCI. Then hit enter twice
Name Date: Lesson 1-4: Scientific Notation Learning Goals: #1: How do we convert in and out of scientific notation? Scientific Notation Scientific Notation is a way of writing numbers that accommodates
More informationMAT 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 informationSection 2.2 Normal Distributions. Normal Distributions
Section 2.2 Normal Distributions Normal Distributions One particularly important class of density curves are the Normal curves, which describe Normal distributions. All Normal curves are symmetric, single-peaked,
More informationLesson 8 Introduction to Quadratic Functions
Lesson 8 Introduction to Quadratic Functions We are leaving exponential and logarithmic functions behind and entering an entirely different world. As you work through this lesson, you will learn to identify
More informationCHAPTER 2: Describing Location in a Distribution
CHAPTER 2: Describing Location in a Distribution 2.1 Goals: 1. Compute and use z-scores given the mean and sd 2. Compute and use the p th percentile of an observation 3. Intro to density curves 4. More
More informationThe Normal Distribution
14-4 OBJECTIVES Use the normal distribution curve. The Normal Distribution TESTING The class of 1996 was the first class to take the adjusted Scholastic Assessment Test. The test was adjusted so that the
More informationFunctions and Families
Unit 3 Functions and Families Name: Date: Hour: Function Transformations Notes PART 1 By the end of this lesson, you will be able to Describe horizontal translations and vertical stretches/shrinks of functions
More informationThe 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 informationWritten by Donna Hiestand-Tupper CCBC - Essex TI 83 TUTORIAL. Version 3.0 to accompany Elementary Statistics by Mario Triola, 9 th edition
TI 83 TUTORIAL Version 3.0 to accompany Elementary Statistics by Mario Triola, 9 th edition Written by Donna Hiestand-Tupper CCBC - Essex 1 2 Math 153 - Introduction to Statistical Methods TI 83 (PLUS)
More information8 2 Properties of a normal distribution.notebook Properties of the Normal Distribution Pages
8 2 Properties of the Normal Distribution Pages 422 431 normal distribution a common continuous probability distribution in which the data are distributed symmetrically and unimodally about the mean. Can
More informationProbability and Statistics. Copyright Cengage Learning. All rights reserved.
Probability and Statistics Copyright Cengage Learning. All rights reserved. 14.6 Descriptive Statistics (Graphical) Copyright Cengage Learning. All rights reserved. Objectives Data in Categories Histograms
More informationSo..to be able to make comparisons possible, we need to compare them with their respective distributions.
Unit 3 ~ Modeling Distributions of Data 1 ***Section 2.1*** Measures of Relative Standing and Density Curves (ex) Suppose that a professional soccer team has the money to sign one additional player and
More informationChapter 2: The Normal Distributions
Chapter 2: The Normal Distributions Measures of Relative Standing & Density Curves Z-scores (Measures of Relative Standing) Suppose there is one spot left in the University of Michigan class of 2014 and
More informationUnit 5: Estimating with Confidence
Unit 5: Estimating with Confidence Section 8.3 The Practice of Statistics, 4 th edition For AP* STARNES, YATES, MOORE Unit 5 Estimating with Confidence 8.1 8.2 8.3 Confidence Intervals: The Basics Estimating
More informationTI-83 Users Guide. to accompany. Statistics: Unlocking the Power of Data by Lock, Lock, Lock, Lock, and Lock
TI-83 Users Guide to accompany by Lock, Lock, Lock, Lock, and Lock TI-83 Users Guide- 1 Getting Started Entering Data Use the STAT menu, then select EDIT and hit Enter. Enter data for a single variable
More informationThe Normal Curve. June 20, Bryan T. Karazsia, M.A.
The Normal Curve June 20, 2006 Bryan T. Karazsia, M.A. Overview Hand-in Homework Why are distributions so important (particularly the normal distribution)? What is the normal distribution? Z-scores Using
More informationMeasures of Position
Measures of Position In this section, we will learn to use fractiles. Fractiles are numbers that partition, or divide, an ordered data set into equal parts (each part has the same number of data entries).
More informationappstats6.notebook September 27, 2016
Chapter 6 The Standard Deviation as a Ruler and the Normal Model Objectives: 1.Students will calculate and interpret z scores. 2.Students will compare/contrast values from different distributions using
More information4.3 The Normal Distribution
4.3 The Normal Distribution Objectives. Definition of normal distribution. Standard normal distribution. Specialties of the graph of the standard normal distribution. Percentiles of the standard normal
More informationChapter 6. The Normal Distribution. McGraw-Hill, Bluman, 7 th ed., Chapter 6 1
Chapter 6 The Normal Distribution McGraw-Hill, Bluman, 7 th ed., Chapter 6 1 Bluman, Chapter 6 2 Chapter 6 Overview Introduction 6-1 Normal Distributions 6-2 Applications of the Normal Distribution 6-3
More informationLesson 6a Exponents and Rational Functions
Lesson 6a Eponents and Rational Functions In this lesson, we put quadratics aside for the most part (not entirely) in this lesson and move to a study of eponents and rational functions. The rules of eponents
More informationLecture 31 Sections 9.4. Tue, Mar 17, 2009
s for s for Lecture 31 Sections 9.4 Hampden-Sydney College Tue, Mar 17, 2009 Outline s for 1 2 3 4 5 6 7 s for Exercise 9.17, page 582. It is believed that 20% of all university faculty would be willing
More informationDistributions 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 informationCHAPTER 1. Introduction. Statistics: Statistics is the science of collecting, organizing, analyzing, presenting and interpreting data.
1 CHAPTER 1 Introduction Statistics: Statistics is the science of collecting, organizing, analyzing, presenting and interpreting data. Variable: Any characteristic of a person or thing that can be expressed
More informationStat 528 (Autumn 2008) Density Curves and the Normal Distribution. Measures of center and spread. Features of the normal distribution
Stat 528 (Autumn 2008) Density Curves and the Normal Distribution Reading: Section 1.3 Density curves An example: GRE scores Measures of center and spread The normal distribution Features of the normal
More informationMINI LESSON. Lesson 1a Introduction to Functions
MINI LESSON Lesson 1a Introduction to Functions Lesson Objectives: 1. Define FUNCTION 2. Determine if data sets, graphs, statements, or sets of ordered pairs define functions 3. Use proper function notation
More information15 Wyner Statistics Fall 2013
15 Wyner Statistics Fall 2013 CHAPTER THREE: CENTRAL TENDENCY AND VARIATION Summary, Terms, and Objectives The two most important aspects of a numerical data set are its central tendencies and its variation.
More informationChapter 5 Statistical Reasoning 5.1 Exploring Data
Chapter 5 Statistical Reasoning 5.1 Exploring Data Nov 20 8:04 AM Statistics the branch of applied mathematics concerned with the collection, analysis and interpretation of numerical data. When data is
More informationChapter 6: Continuous Random Variables & the Normal Distribution. 6.1 Continuous Probability Distribution
Chapter 6: Continuous Random Variables & the Normal Distribution 6.1 Continuous Probability Distribution and the Normal Probability Distribution 6.2 Standardizing a Normal Distribution 6.3 Applications
More informationSection 10.4 Normal Distributions
Section 10.4 Normal Distributions Random Variables Suppose a bank is interested in improving its services to customers. The manager decides to begin by finding the amount of time tellers spend on each
More informationMath 14 Lecture Notes Ch. 6.1
6.1 Normal Distribution What is normal? a 10-year old boy that is 4' tall? 5' tall? 6' tall? a 25-year old woman with a shoe size of 5? 7? 9? an adult alligator that weighs 200 pounds? 500 pounds? 800
More informationExample 1. Find the x value that has a left tail area of.1131 P ( x <??? ) =. 1131
Section 6 4D: Finding a Value of x with a Given tail arae Label the shaded area for both graphs. Find the value for z and label the z axis. Find the value for x for the given area under the normal curve
More informationa. divided by the. 1) Always round!! a) Even if class width comes out to a, go up one.
Probability and Statistics Chapter 2 Notes I Section 2-1 A Steps to Constructing Frequency Distributions 1 Determine number of (may be given to you) a Should be between and classes 2 Find the Range a The
More informationChapter 8. Interval Estimation
Chapter 8 Interval Estimation We know how to get point estimate, so this chapter is really just about how to get the Introduction Move from generating a single point estimate of a parameter to generating
More informationThe 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 informationAverages and Variation
Averages and Variation 3 Copyright Cengage Learning. All rights reserved. 3.1-1 Section 3.1 Measures of Central Tendency: Mode, Median, and Mean Copyright Cengage Learning. All rights reserved. 3.1-2 Focus
More informationL E A R N I N G O B JE C T I V E S
2.2 Measures of Central Location L E A R N I N G O B JE C T I V E S 1. To learn the concept of the center of a data set. 2. To learn the meaning of each of three measures of the center of a data set the
More informationQUESTIONS FROM 2017 VCAA EXAMS ON PROBABILITY
2017 MATHMETH EXAM 2 Question 3 (19 marks) QUESTIONS FROM 2017 VCAA EXAMS ON PROBABILITY The time Jennifer spends on her homework each day varies, but she does some homework every day. The continuous random
More informationNormal Data ID1050 Quantitative & Qualitative Reasoning
Normal Data ID1050 Quantitative & Qualitative Reasoning Histogram for Different Sample Sizes For a small sample, the choice of class (group) size dramatically affects how the histogram appears. Say we
More informationBIOL Gradation of a histogram (a) into the normal curve (b)
(التوزيع الطبيعي ( Distribution Normal (Gaussian) One of the most important distributions in statistics is a continuous distribution called the normal distribution or Gaussian distribution. Consider the
More informationSTP 226 ELEMENTARY STATISTICS NOTES PART 2 - DESCRIPTIVE STATISTICS CHAPTER 3 DESCRIPTIVE MEASURES
STP 6 ELEMENTARY STATISTICS NOTES PART - DESCRIPTIVE STATISTICS CHAPTER 3 DESCRIPTIVE MEASURES Chapter covered organizing data into tables, and summarizing data with graphical displays. We will now use
More informationSeptember 11, Unit 2 Day 1 Notes Measures of Central Tendency.notebook
Measures of Central Tendency: Mean, Median, Mode and Midrange A Measure of Central Tendency is a value that represents a typical or central entry of a data set. Four most commonly used measures of central
More informationCHAPTER 2: SAMPLING AND DATA
CHAPTER 2: SAMPLING AND DATA This presentation is based on material and graphs from Open Stax and is copyrighted by Open Stax and Georgia Highlands College. OUTLINE 2.1 Stem-and-Leaf Graphs (Stemplots),
More informationWebAssign Lesson 1-2a Area Between Curves (Homework)
WebAssign Lesson 1-2a Area Between Curves (Homework) Current Score : / 30 Due : Thursday, June 26 2014 11:00 AM MDT Jaimos Skriletz Math 175, section 31, Summer 2 2014 Instructor: Jaimos Skriletz 1. /3
More informationIntroductory 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 informationMeasures of Position. 1. Determine which student did better
Measures of Position z-score (standard score) = number of standard deviations that a given value is above or below the mean (Round z to two decimal places) Sample z -score x x z = s Population z - score
More informationMeasures of Dispersion
Lesson 7.6 Objectives Find the variance of a set of data. Calculate standard deviation for a set of data. Read data from a normal curve. Estimate the area under a curve. Variance Measures of Dispersion
More informationChapter 7 Assignment due Wednesday, May 24
due Wednesday, May 24 Calculating Probabilities for Normal Distributions Overview What you re going to do in this assignment is use an online applet to calculate: probabilities associated with given -scores
More informationSupplemental 1.5. Objectives Interval Notation Increasing & Decreasing Functions Average Rate of Change Difference Quotient
Supplemental 1.5 Objectives Interval Notation Increasing & Decreasing Functions Average Rate of Change Difference Quotient Interval Notation Many times in this class we will only want to talk about what
More information2) In the formula for the Confidence Interval for the Mean, if the Confidence Coefficient, z(α/2) = 1.65, what is the Confidence Level?
Pg.431 1)The mean of the sampling distribution of means is equal to the mean of the population. T-F, and why or why not? True. If you were to take every possible sample from the population, and calculate
More information1) Complete problems 1-65 on pages You are encouraged to use the space provided.
Dear Accelerated Pre-Calculus Student (017-018), I am excited to have you enrolled in our class for next year! We will learn a lot of material and do so in a fairly short amount of time. This class will
More informationPS2: LT2.4 6E.1-4 MEASURE OF CENTER MEASURES OF CENTER
PS2: LT2.4 6E.1-4 MEASURE OF CENTER That s a mouthful MEASURES OF CENTER There are 3 measures of center that you are familiar with. We are going to use notation that may be unfamiliar, so pay attention.
More information3.5 Applying the Normal Distribution: Z-Scores
3.5 Applying the Normal Distribution: Z-Scores In the previous section, you learned about the normal curve and the normal distribution. You know that the area under any normal curve is 1, and that 68%
More informationConfidence Intervals: Estimators
Confidence Intervals: Estimators Point Estimate: a specific value at estimates a parameter e.g., best estimator of e population mean ( ) is a sample mean problem is at ere is no way to determine how close
More informationThe 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 informationToday s Topics. Percentile ranks and percentiles. Standardized scores. Using standardized scores to estimate percentiles
Today s Topics Percentile ranks and percentiles Standardized scores Using standardized scores to estimate percentiles Using µ and σ x to learn about percentiles Percentiles, standardized scores, and the
More informationMATH 1070 Introductory Statistics Lecture notes Descriptive Statistics and Graphical Representation
MATH 1070 Introductory Statistics Lecture notes Descriptive Statistics and Graphical Representation Objectives: 1. Learn the meaning of descriptive versus inferential statistics 2. Identify bar graphs,
More informationLesson 4 Exponential Functions I
Lesson 4 Exponential Functions I Lesson 4 Exponential Functions I Exponential functions play a major role in our lives. Population growth and disease processes are real-world problems that involve exponential
More informationCHAPTER 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 informationMA 220 Lesson 28 Notes Section 3.3 (p. 191, 2 nd half of text)
MA 220 Lesson 28 Notes Section 3.3 (p. 191, 2 nd half of tet) The property of the graph of a function curving upward or downward is defined as the concavity of the graph of a function. Concavity if how
More informationSections 4.3 and 4.4
Sections 4.3 and 4.4 Timothy Hanson Department of Statistics, University of South Carolina Stat 205: Elementary Statistics for the Biological and Life Sciences 1 / 32 4.3 Areas under normal densities Every
More informationChpt 3. Data Description. 3-2 Measures of Central Tendency /40
Chpt 3 Data Description 3-2 Measures of Central Tendency 1 /40 Chpt 3 Homework 3-2 Read pages 96-109 p109 Applying the Concepts p110 1, 8, 11, 15, 27, 33 2 /40 Chpt 3 3.2 Objectives l Summarize data using
More informationStatistics: Interpreting Data and Making Predictions. Visual Displays of Data 1/31
Statistics: Interpreting Data and Making Predictions Visual Displays of Data 1/31 Last Time Last time we discussed central tendency; that is, notions of the middle of data. More specifically we discussed
More informationPrepare a stem-and-leaf graph for the following data. In your final display, you should arrange the leaves for each stem in increasing order.
Chapter 2 2.1 Descriptive Statistics A stem-and-leaf graph, also called a stemplot, allows for a nice overview of quantitative data without losing information on individual observations. It can be a good
More informationLesson 8.1 Exercises, pages
Lesson 8.1 Eercises, pages 1 9 A. Complete each table of values. a) -3 - -1 1 3 3 11 8 5-1 - -7 3 11 8 5 1 7 To complete the table for 3, take the absolute value of each value of 3. b) - -3 - -1 1 3 3
More information6.2 Areas under the curve 2018.notebook January 18, 2018
More details about z scores * A z score is the number of standard deviations between a measurement and its mean. * Use z scores to make comparisons of measurements from different distributions (if the
More informationWarm Up! Complete the warm-up questions on your warm-up paper. Solve each absolute value and represent them on a number line.
Warm Up! Complete the warm-up questions on your warm-up paper. Solve each absolute value and represent them on a number line. -10-9 -8-7 -6-5 -4-3 -2-1 0 1 2 3 4 5 6 7 8 9 10-10 -9-8 -7-6 -5-4 -3-2 -1
More information