12. A(n) is the number of times an item or number occurs in a data set.
|
|
|
- Christopher O’Connor’
- 5 years ago
- Views:
Transcription
1 Chapter 15 Vocabulary Practice Match each definition to its corresponding term. a. data b. statistical question c. population d. sample e. data analysis f. parameter g. statistic h. survey i. experiment 1. A method for collecting information by asking statistical questions. 2. An entire set of items from which data can be selected. 3. A characteristic of a population. 4. The facts or numbers that describe the results of an experiment or survey. 5. A question about a population or a sample. 6. A test performed to answer a question. 7. Collecting, organizing, and analyzing data to answer statistical questions. 8. The characteristic of a sample. 9. A selection from a population. Write the term that best completes each statement. 10. A(n) is a way of displaying categorical data by using either horizontal or vertical bars so that the height or length of the bars indicates the value for that category. 11. can only have values that are counting numbers. 12. A(n) is the number of times an item or number occurs in a data set. 13. Data for which each piece of data fits into exactly one of several different groups or categories are called. 14. A(n) is a graph that shows how parts of the whole relate to the whole, and how parts relate to other parts. 15. In a graph, the explains how each data set is represented by a color or a pattern. 16. A(n) is used to display categorical data when each category contains two different data sets. The two bars which represent each category are side by side, and space is used to separate the categories. 17. are data which can be placed on a numerical scale.
2 18. A(n) is a graph in which the frequencies of two different groups for a given category are stacked on top of one another in order to compare the parts to the whole. 19. can have values that are between two counting numbers. Write a definition for each of the following terms in your own words. 20. dot plot 21. distribution 22. symmetric 23. skewed right 24. skewed left 25. clusters 26. gaps 27. stem-and-leaf plot histogram 30. frequency table
3 Chapter 15 Vocabulary Practice Answer Section 10. ANS: bar graph PTS: 1 REF: 15.2 NAT: 6.SP ANS: Discrete data PTS: 1 REF: 15.2 NAT: 6.SP ANS: frequency PTS: 1 REF: 15.2 NAT: 6.SP ANS: categorical data PTS: 1 REF: 15.2 NAT: 6.SP ANS: circle graph PTS: 1 REF: 15.2 NAT: 6.SP ANS: key PTS: 1 REF: 15.2 NAT: 6.SP ANS: double bar graph PTS: 1 REF: 15.2 NAT: 6.SP ANS: Quantitative data PTS: 1 REF: 15.2 NAT: 6.SP ANS: stacked bar graph PTS: 1 REF: 15.2 NAT: 6.SP ANS: Continuous data
4 PTS: 1 REF: 15.2 NAT: 6.SP ANS: A dot plot is a graph that displays discrete data that are graphed using a number line. 21. ANS: A distribution is the way in which data are distributed on a graph. 22. ANS: A distribution is symmetric when the left and right halves of the graph are mirror images of each other. There is usually a peak in the middle of a symmetric graph. 23. ANS: A distribution is skewed right when the peak of the data is to the left side of the graph and there are only a few data points to the right side of the graph. 24. ANS: A distribution is skewed left when the peak of the data is to the right side of the graph and there are only a few data points to the left side of the graph. 25. ANS: Clusters are areas of a graph where data are grouped close together. 26. ANS:
5 Gaps are areas of a graph where there are no data. 27. ANS: A stem-and-leaf plot is a graphical method used to represent ordered numerical data. Typically the stem is all the digits in the number except the right-most digit, which is the leaf. 28. ANS: A is a stem-and-leaf plot which allows for the comparison of two data sets in two columns. 29. ANS: A histogram is a graph that displays quantitative data using vertical or horizontal bars so that the height or length of the bars indicates the frequency. The number of data values in an interval is the frequency. The width of the bar represents the interval, while the height represents the frequency of values in that interval. PTS: 1 REF: 15.4 NAT: 6.SP.4 6.SP.5.a KEY: histogram frequency table 30. ANS: A frequency table is a table used to organize data according to how many times a data value occurs. PTS: 1 REF: 15.4 NAT: 6.SP.4 6.SP.5.a KEY: histogram frequency table 1. ANS: H PTS: 1 REF: 15.1 NAT: 6.SP.1 2. ANS: C PTS: 1 REF: 15.1 NAT: 6.SP.1 3. ANS: F PTS: 1 REF: 15.1 NAT: 6.SP.1 4. ANS: A PTS: 1 REF: 15.1 NAT: 6.SP.1 5. ANS: B PTS: 1 REF: 15.1 NAT: 6.SP.1 6. ANS: I PTS: 1 REF: 15.1 NAT: 6.SP.1
6 7. ANS: E PTS: 1 REF: 15.1 NAT: 6.SP.1 8. ANS: G PTS: 1 REF: 15.1 NAT: 6.SP.1 9. ANS: D PTS: 1 REF: 15.1 NAT: 6.SP.1
Name Date Types of Graphs and Creating Graphs Notes
Name Date Types of Graphs and Creating Graphs Notes Graphs are helpful visual representations of data. Different graphs display data in different ways. Some graphs show individual data, but many do not.
Organizing and Summarizing Data
1 Organizing and Summarizing Data Key Definitions Frequency Distribution: This lists each category of data and how often they occur. : The percent of observations within the one of the categories. This
Homework Packet Week #3
Lesson 8.1 Choose the term that best completes statements # 1-12. 10. A data distribution is if the peak of the data is in the middle of the graph. The left and right sides of the graph are nearly mirror
Lesson 18-1 Lesson Lesson 18-1 Lesson Lesson 18-2 Lesson 18-2
Topic 18 Set A Words survey data Topic 18 Set A Words Lesson 18-1 Lesson 18-1 sample line plot Lesson 18-1 Lesson 18-1 frequency table bar graph Lesson 18-2 Lesson 18-2 Instead of making 2-sided copies
Section 2-2 Frequency Distributions. Copyright 2010, 2007, 2004 Pearson Education, Inc
Section 2-2 Frequency Distributions Copyright 2010, 2007, 2004 Pearson Education, Inc. 2.1-1 Frequency Distribution Frequency Distribution (or Frequency Table) It shows how a data set is partitioned among
STAT STATISTICAL METHODS. Statistics: The science of using data to make decisions and draw conclusions
STAT 515 --- STATISTICAL METHODS Statistics: The science of using data to make decisions and draw conclusions Two branches: Descriptive Statistics: The collection and presentation (through graphical and
Visualizing Data: Freq. Tables, Histograms
Visualizing Data: Freq. Tables, Histograms Engineering Statistics Section 1.2 Josh Engwer TTU 25 January 2016 Josh Engwer (TTU) Visualizing Data: Freq. Tables, Histograms 25 January 2016 1 / 23 Descriptive
STP 226 ELEMENTARY STATISTICS NOTES
ELEMENTARY STATISTICS NOTES PART 2 - DESCRIPTIVE STATISTICS CHAPTER 2 ORGANIZING DATA Descriptive Statistics - include methods for organizing and summarizing information clearly and effectively. - classify
Middle Years Data Analysis Display Methods
Middle Years Data Analysis Display Methods Double Bar Graph A double bar graph is an extension of a single bar graph. Any bar graph involves categories and counts of the number of people or things (frequency)
Chapter 3 - Displaying and Summarizing Quantitative Data
Chapter 3 - Displaying and Summarizing Quantitative Data 3.1 Graphs for Quantitative Data (LABEL GRAPHS) August 25, 2014 Histogram (p. 44) - Graph that uses bars to represent different frequencies or relative
Ch. 1.4 Histograms & Stem-&-Leaf Plots
Ch. 1.4 Histograms & Stem-&-Leaf Plots Learning Intentions: Create a histogram & stem-&-leaf plot of a data set. Given a list of data, use a calculator to graph a histogram. Interpret histograms & stem-&-leaf
Chapter 2: Understanding Data Distributions with Tables and Graphs
Test Bank Chapter 2: Understanding Data with Tables and Graphs Multiple Choice 1. Which of the following would best depict nominal level data? a. pie chart b. line graph c. histogram d. polygon Ans: A
Unit 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
Displaying Distributions - Quantitative Variables
Displaying Distributions - Quantitative Variables Lecture 13 Sections 4.4.1-4.4.3 Robb T. Koether Hampden-Sydney College Wed, Feb 8, 2012 Robb T. Koether (Hampden-Sydney College)Displaying Distributions
Lecture Slides. Elementary Statistics Twelfth Edition. by Mario F. Triola. and the Triola Statistics Series. Section 2.1- #
Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series by Mario F. Triola Chapter 2 Summarizing and Graphing Data 2-1 Review and Preview 2-2 Frequency Distributions 2-3 Histograms
Chapter 1. Looking at Data-Distribution
Chapter 1. Looking at Data-Distribution Statistics is the scientific discipline that provides methods to draw right conclusions: 1)Collecting the data 2)Describing the data 3)Drawing the conclusions Raw
Pictorial and Tabular Methods
Example(Example 1.2 p5): The article Effects of Aggregates and Microfillers on the Flexural Properties of Concrete reported on a study of strength properties of high performance concrete obtained by using
Overview. Frequency Distributions. Chapter 2 Summarizing & Graphing Data. Descriptive Statistics. Inferential Statistics. Frequency Distribution
Chapter 2 Summarizing & Graphing Data Slide 1 Overview Descriptive Statistics Slide 2 A) Overview B) Frequency Distributions C) Visualizing Data summarize or describe the important characteristics of a
Chapter 2 - Graphical Summaries of Data
Chapter 2 - Graphical Summaries of Data Data recorded in the sequence in which they are collected and before they are processed or ranked are called raw data. Raw data is often difficult to make sense
TMTH 3360 NOTES ON COMMON GRAPHS AND CHARTS
To Describe Data, consider: Symmetry Skewness TMTH 3360 NOTES ON COMMON GRAPHS AND CHARTS Unimodal or bimodal or uniform Extreme values Range of Values and mid-range Most frequently occurring values In
No. of blue jelly beans No. of bags
Math 167 Ch5 Review 1 (c) Janice Epstein CHAPTER 5 EXPLORING DATA DISTRIBUTIONS A sample of jelly bean bags is chosen and the number of blue jelly beans in each bag is counted. The results are shown in
1.3 Graphical Summaries of Data
Arkansas Tech University MATH 3513: Applied Statistics I Dr. Marcel B. Finan 1.3 Graphical Summaries of Data In the previous section we discussed numerical summaries of either a sample or a data. In this
Vocabulary. 5-number summary Rule. Area principle. Bar chart. Boxplot. Categorical data condition. Categorical variable.
5-number summary 68-95-99.7 Rule Area principle Bar chart Bimodal Boxplot Case Categorical data Categorical variable Center Changing center and spread Conditional distribution Context Contingency table
Learning Log Title: CHAPTER 7: PROPORTIONS AND PERCENTS. Date: Lesson: Chapter 7: Proportions and Percents
Chapter 7: Proportions and Percents CHAPTER 7: PROPORTIONS AND PERCENTS Date: Lesson: Learning Log Title: Date: Lesson: Learning Log Title: Chapter 7: Proportions and Percents Date: Lesson: Learning Log
The basic arrangement of numeric data is called an ARRAY. Array is the derived data from fundamental data Example :- To store marks of 50 student
Organizing data Learning Outcome 1. make an array 2. divide the array into class intervals 3. describe the characteristics of a table 4. construct a frequency distribution table 5. constructing a composite
Statistical Methods. Instructor: Lingsong Zhang. Any questions, ask me during the office hour, or me, I will answer promptly.
Statistical Methods Instructor: Lingsong Zhang 1 Issues before Class Statistical Methods Lingsong Zhang Office: Math 544 Email: lingsong@purdue.edu Phone: 765-494-7913 Office Hour: Monday 1:00 pm - 2:00
Frequency Distributions
Displaying Data Frequency Distributions After collecting data, the first task for a researcher is to organize and summarize the data so that it is possible to get a general overview of the results. Remember,
Data Statistics Population. Census Sample Correlation... Statistical & Practical Significance. Qualitative Data Discrete Data Continuous Data
Data Statistics Population Census Sample Correlation... Voluntary Response Sample Statistical & Practical Significance Quantitative Data Qualitative Data Discrete Data Continuous Data Fewer vs Less Ratio
MATH 117 Statistical Methods for Management I Chapter Two
Jubail University College MATH 117 Statistical Methods for Management I Chapter Two There are a wide variety of ways to summarize, organize, and present data: I. Tables 1. Distribution Table (Categorical
MATH& 146 Lesson 10. Section 1.6 Graphing Numerical Data
MATH& 146 Lesson 10 Section 1.6 Graphing Numerical Data 1 Graphs of Numerical Data One major reason for constructing a graph of numerical data is to display its distribution, or the pattern of variability
Special Review Section. Copyright 2014 Pearson Education, Inc.
Special Review Section SRS-1--1 Special Review Section Chapter 1: The Where, Why, and How of Data Collection Chapter 2: Graphs, Charts, and Tables Describing Your Data Chapter 3: Describing Data Using
NOTES TO CONSIDER BEFORE ATTEMPTING EX 1A TYPES OF DATA
NOTES TO CONSIDER BEFORE ATTEMPTING EX 1A TYPES OF DATA Statistics is concerned with scientific methods of collecting, recording, organising, summarising, presenting and analysing data from which future
CHAPTER 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
Section 1.2. Displaying Quantitative Data with Graphs. Mrs. Daniel AP Stats 8/22/2013. Dotplots. How to Make a Dotplot. Mrs. Daniel AP Statistics
Section. Displaying Quantitative Data with Graphs Mrs. Daniel AP Statistics Section. Displaying Quantitative Data with Graphs After this section, you should be able to CONSTRUCT and INTERPRET dotplots,
Ms Nurazrin Jupri. Frequency Distributions
Frequency Distributions Frequency Distributions After collecting data, the first task for a researcher is to organize and simplify the data so that it is possible to get a general overview of the results.
+ Statistical Methods in
+ Statistical Methods in Practice STA/MTH 3379 + Dr. A. B. W. Manage Associate Professor of Statistics Department of Mathematics & Statistics Sam Houston State University Discovering Statistics 2nd Edition
Topic (3) SUMMARIZING DATA - TABLES AND GRAPHICS
Topic (3) SUMMARIZING DATA - TABLES AND GRAPHICS 3- Topic (3) SUMMARIZING DATA - TABLES AND GRAPHICS A) Frequency Distributions For Samples Defn: A FREQUENCY DISTRIBUTION is a tabular or graphical display
Prepare 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
2.1 Objectives. Math Chapter 2. Chapter 2. Variable. Categorical Variable EXPLORING DATA WITH GRAPHS AND NUMERICAL SUMMARIES
EXPLORING DATA WITH GRAPHS AND NUMERICAL SUMMARIES Chapter 2 2.1 Objectives 2.1 What Are the Types of Data? www.managementscientist.org 1. Know the definitions of a. Variable b. Categorical versus quantitative
Chapter 2: Frequency Distributions
Chapter 2: Frequency Distributions Chapter Outline 2.1 Introduction to Frequency Distributions 2.2 Frequency Distribution Tables Obtaining ΣX from a Frequency Distribution Table Proportions and Percentages
2.1: Frequency Distributions
2.1: Frequency Distributions Frequency Distribution: organization of data into groups called. A: Categorical Frequency Distribution used for and level qualitative data that can be put into categories.
Chapter 2. Frequency distribution. Summarizing and Graphing Data
Frequency distribution Chapter 2 Summarizing and Graphing Data Shows how data are partitioned among several categories (or classes) by listing the categories along with the number (frequency) of data values
Lecture Slides. Elementary Statistics Tenth Edition. by Mario F. Triola. and the Triola Statistics Series. Slide 1
Lecture Slides Elementary Statistics Tenth Edition and the Triola Statistics Series by Mario F. Triola Slide 1 Chapter 2 Summarizing and Graphing Data 2-1 Overview 2-2 Frequency Distributions 2-3 Histograms
An Example of a Class Frequency Histogram. An Example of a Class Frequency Table. Freq
Section A: uency Histograms for Discrete Quantitative Data The data in a uency Table can be made more visual by creating a graph of the classes and their frequencies. One type of graph used for this purpose
AND NUMERICAL SUMMARIES. Chapter 2
EXPLORING DATA WITH GRAPHS AND NUMERICAL SUMMARIES Chapter 2 2.1 What Are the Types of Data? 2.1 Objectives www.managementscientist.org 1. Know the definitions of a. Variable b. Categorical versus quantitative
Statistics Lecture 6. Looking at data one variable
Statistics 111 - Lecture 6 Looking at data one variable Chapter 1.1 Moore, McCabe and Craig Probability vs. Statistics Probability 1. We know the distribution of the random variable (Normal, Binomial)
8 Organizing and Displaying
CHAPTER 8 Organizing and Displaying Data for Comparison Chapter Outline 8.1 BASIC GRAPH TYPES 8.2 DOUBLE LINE GRAPHS 8.3 TWO-SIDED STEM-AND-LEAF PLOTS 8.4 DOUBLE BAR GRAPHS 8.5 DOUBLE BOX-AND-WHISKER PLOTS
Chapter 2. Descriptive Statistics: Organizing, Displaying and Summarizing Data
Chapter 2 Descriptive Statistics: Organizing, Displaying and Summarizing Data Objectives Student should be able to Organize data Tabulate data into frequency/relative frequency tables Display data graphically
MATH 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,
Raw Data is data before it has been arranged in a useful manner or analyzed using statistical techniques.
Section 2.1 - Introduction Graphs are commonly used to organize, summarize, and analyze collections of data. Using a graph to visually present a data set makes it easy to comprehend and to describe the
Chapter 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
UNIT 1: NUMBER LINES, INTERVALS, AND SETS
ALGEBRA II CURRICULUM OUTLINE 2011-2012 OVERVIEW: 1. Numbers, Lines, Intervals and Sets 2. Algebraic Manipulation: Rational Expressions and Exponents 3. Radicals and Radical Equations 4. Function Basics
Table of Contents (As covered from textbook)
Table of Contents (As covered from textbook) Ch 1 Data and Decisions Ch 2 Displaying and Describing Categorical Data Ch 3 Displaying and Describing Quantitative Data Ch 4 Correlation and Linear Regression
Spell out your full name (first, middle and last)
Spell out your full name (first, middle and last) Be ready to share the following counts: Number of letters in your full name. Number of vowels Number of consonants Section 2-1 Organizing Data After completing
Making Science Graphs and Interpreting Data
Making Science Graphs and Interpreting Data Eye Opener: 5 mins What do you see? What do you think? Look up terms you don t know What do Graphs Tell You? A graph is a way of expressing a relationship between
Chapter 2 - Descriptive Statistics
Chapter 2 - Descriptive Statistics Our ultimate aim in this class is to study Inferential statistics but before we can start making decisions about data we need to know how to describe this data in a useful
Chapter 2 Descriptive Statistics. Tabular and Graphical Presentations
Chapter 2 Descriptive Statistics Tabular and Graphical Presentations Frequency Distributions Frequency distribution tabular summary of data showing the number of items that appear in non-overlapping classes.
AP Statistics Summer Assignment:
AP Statistics Summer Assignment: Read the following and use the information to help answer your summer assignment questions. You will be responsible for knowing all of the information contained in this
Chapter 2 - Frequency Distributions and Graphs
1. Which of the following does not need to be done when constructing a frequency distribution? A) select the number of classes desired B) find the range C) make the class width an even number D) use classes
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
ALGEBRA II A CURRICULUM OUTLINE
ALGEBRA II A CURRICULUM OUTLINE 2013-2014 OVERVIEW: 1. Linear Equations and Inequalities 2. Polynomial Expressions and Equations 3. Rational Expressions and Equations 4. Radical Expressions and Equations
Vocabulary: Data Distributions
Vocabulary: Data Distributions Concept Two Types of Data. I. Categorical data: is data that has been collected and recorded about some non-numerical attribute. For example: color is an attribute or variable
1.2. Pictorial and Tabular Methods in Descriptive Statistics
1.2. Pictorial and Tabular Methods in Descriptive Statistics Section Objectives. 1. Stem-and-Leaf displays. 2. Dotplots. 3. Histogram. Types of histogram shapes. Common notation. Sample size n : the number
Select Cases. Select Cases GRAPHS. The Select Cases command excludes from further. selection criteria. Select Use filter variables
Select Cases GRAPHS The Select Cases command excludes from further analysis all those cases that do not meet specified selection criteria. Select Cases For a subset of the datafile, use Select Cases. In
2.3 Organizing Quantitative Data
2.3 Organizing Quantitative Data This section will focus on ways to organize quantitative data into tables, charts, and graphs. Quantitative data is organized by dividing the observations into classes
Lecture 6: Chapter 6 Summary
1 Lecture 6: Chapter 6 Summary Z-score: Is the distance of each data value from the mean in standard deviation Standardizes data values Standardization changes the mean and the standard deviation: o Z
AP Statistics Prerequisite Packet
Types of Data Quantitative (or measurement) Data These are data that take on numerical values that actually represent a measurement such as size, weight, how many, how long, score on a test, etc. For these
Glossary. additive reasoning. absolute deviation. algebraic expression. absolute value. altitude. Addition Property of Equality
Glossary absolute deviation A The absolute value of each deviation is called the absolute deviation. 11 1 5 1 data mean deviaton deviation 1 5 1 absolute value absolute deviation The absolute value, or
MTH 3210: PROBABILITY AND STATISTICS DESCRIPTIVE STATISTICS WORKSHEET
MTH 3210: PROBABILITY AND STATISTICS DESCRIPTIVE STATISTICS WORKSHEET Before you work on the practice problems (Section 3) please make sure that you read the supplementary notes (Section 1) and work through
Understanding Statistical Questions
Unit 6: Statistics Standards, Checklist and Concept Map Common Core Georgia Performance Standards (CCGPS): MCC6.SP.1: Recognize a statistical question as one that anticipates variability in the data related
Chapter2 Description of samples and populations. 2.1 Introduction.
Chapter2 Description of samples and populations. 2.1 Introduction. Statistics=science of analyzing data. Information collected (data) is gathered in terms of variables (characteristics of a subject that
Estimate A number that is close to an exact answer. An approximate answer.
Estimate A number that is close to an exact answer. An approximate answer. Inverse Operations Operations used to undo each other + - X Product The result of multiplying two factors together. 3 x 4=12 Factor
Chapter 2 Organizing and Graphing Data. 2.1 Organizing and Graphing Qualitative Data
Chapter 2 Organizing and Graphing Data 2.1 Organizing and Graphing Qualitative Data 2.2 Organizing and Graphing Quantitative Data 2.3 Stem-and-leaf Displays 2.4 Dotplots 2.1 Organizing and Graphing Qualitative
Chapter 2: Graphical Summaries of Data 2.1 Graphical Summaries for Qualitative Data. Frequency: Frequency distribution:
Chapter 2: Graphical Summaries of Data 2.1 Graphical Summaries for Qualitative Data Frequency: Frequency distribution: Example 2.1 The following are survey results from Fall 2014 Statistics class regarding
Date Lesson TOPIC HOMEWORK. Displaying Data WS 6.1. Measures of Central Tendency WS 6.2. Common Distributions WS 6.6. Outliers WS 6.
UNIT 6 ONE VARIABLE STATISTICS Date Lesson TOPIC HOMEWORK 6.1 3.3 6.2 3.4 Displaying Data WS 6.1 Measures of Central Tendency WS 6.2 6.3 6.4 3.5 6.5 3.5 Grouped Data Central Tendency Measures of Spread
Univariate Statistics Summary
Further Maths Univariate Statistics Summary Types of Data Data can be classified as categorical or numerical. Categorical data are observations or records that are arranged according to category. For example:
Chapter 2: Frequency Distributions
Chapter 2: Frequency Distributions It's in the context of frequency distributions that we encounter the importance of communication. The nature of large data sets is difficult to communicate without some
Part I, Chapters 4 & 5. Data Tables and Data Analysis Statistics and Figures
Part I, Chapters 4 & 5 Data Tables and Data Analysis Statistics and Figures Descriptive Statistics 1 Are data points clumped? (order variable / exp. variable) Concentrated around one value? Concentrated
a. 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
Section 3.1 Shapes of Distributions MDM4U Jensen
Section 3.1 Shapes of Distributions MDM4U Jensen Part 1: Histogram Review Example 1: Earthquakes are measured on a scale known as the Richter Scale. There data are a sample of earthquake magnitudes in
The variable: scores on a 60 question exam for 20 students 50, 46, 58, 49, 50, 57, 49, 48, 53, 45, 50, 55, 43, 49, 46, 48, 44, 56, 57, 44
Cal State Northridge Ψ Andrew Ainsworth PhD The variable: scores on a question exam for students,, 8, 9,, 7, 9, 8,,,,,, 9,, 8,,, 7, First Step Order the Data,,,,,, 8, 8, 9, 9, 9,,,,,,, 7, 7, 8 1 Valid
Density Curve (p52) Density curve is a curve that - is always on or above the horizontal axis.
1.3 Density curves p50 Some times the overall pattern of a large number of observations is so regular that we can describe it by a smooth curve. It is easier to work with a smooth curve, because the histogram
2.1: Frequency Distributions and Their Graphs
2.1: Frequency Distributions and Their Graphs Frequency Distribution - way to display data that has many entries - table that shows classes or intervals of data entries and the number of entries in each
UNIT 1A EXPLORING UNIVARIATE DATA
A.P. STATISTICS E. Villarreal Lincoln HS Math Department UNIT 1A EXPLORING UNIVARIATE DATA LESSON 1: TYPES OF DATA Here is a list of important terms that we must understand as we begin our study of statistics
Course 1 Textbook Table of Contents. Middle School Math Solution: Course 1 Textbook Table of Contents 1. Taking Apart Numbers and Shapes
Composing and Decomposing Pacing: Days Topic : Factors and Area Students compose and decompose shapes, using properties of arithmetic and the additive property of area. Students review the connection of
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
B. Graphing Representation of Data
B Graphing Representation of Data The second way of displaying data is by use of graphs Although such visual aids are even easier to read than tables, they often do not give the same detail It is essential
Chapter 2 Describing, Exploring, and Comparing Data
Slide 1 Chapter 2 Describing, Exploring, and Comparing Data Slide 2 2-1 Overview 2-2 Frequency Distributions 2-3 Visualizing Data 2-4 Measures of Center 2-5 Measures of Variation 2-6 Measures of Relative
STA 570 Spring Lecture 5 Tuesday, Feb 1
STA 570 Spring 2011 Lecture 5 Tuesday, Feb 1 Descriptive Statistics Summarizing Univariate Data o Standard Deviation, Empirical Rule, IQR o Boxplots Summarizing Bivariate Data o Contingency Tables o Row
Section 9: One Variable Statistics
The following Mathematics Florida Standards will be covered in this section: MAFS.912.S-ID.1.1 MAFS.912.S-ID.1.2 MAFS.912.S-ID.1.3 Represent data with plots on the real number line (dot plots, histograms,
Probability 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
Test Bank for Privitera, Statistics for the Behavioral Sciences
1. A simple frequency distribution A) can be used to summarize grouped data B) can be used to summarize ungrouped data C) summarizes the frequency of scores in a given category or range 2. To determine
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
Course of study- Algebra Introduction: Algebra 1-2 is a course offered in the Mathematics Department. The course will be primarily taken by
Course of study- Algebra 1-2 1. Introduction: Algebra 1-2 is a course offered in the Mathematics Department. The course will be primarily taken by students in Grades 9 and 10, but since all students must
MATH1635, Statistics (2)
MATH1635, Statistics (2) Chapter 2 Histograms and Frequency Distributions I. A Histogram is a form of bar graph in which: A. The width of a bar is designated by an interval or ratio data value and thus
Section Frequency Distribution and Statistical Graphs. Copyright 2013, 2010, 2007, Pearson, Education, Inc.
Section 13.3 Frequency Distribution and Statistical Graphs INB Table of Contents Date Topic Page # July 7, 2014 Section 12.1 & 12.2 Worksheet 58 July 7, 2014 Shoe Probability Project 59 July 7, 2014 Conditional
CHAPTER 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),
Chapters 1.5 and 2.5 Statistics: Collecting and Displaying Data
Chapters 1.5 and 2.5 Statistics: Collecting and Displaying Data Chapter Objectives: Decide which data is relevant, know methods to collect and organize data ; Design and use a data collection sheet or
Transform both equations in each system of equations so that each coefficient is an integer.
Algebra 1 (2nd Semester Exam Review) Name 1. Write each expression in rational exponent form. a. b. 2. Write each expression in radical form. a. b. What is the simplified form of each expression? 3. 4.
Sections Graphical Displays and Measures of Center. Brian Habing Department of Statistics University of South Carolina.
STAT 515 Statistical Methods I Sections 2.1-2.3 Graphical Displays and Measures of Center Brian Habing Department of Statistics University of South Carolina Redistribution of these slides without permission