MyLab Statistics with Pearson eText Access Code (24 Months) for Introductory Statistics
Exploring the World Through Data
Onbekend Engels 2019 3e druk 9780135190234Samenvatting
MyLab Statistics Standalone Access Card to accompany Gould/Ryan/Wong, Introductory Statistics: Exploring the World Through Data, 3e
This item is an access card for MyLab™ Statistics. This physical access card includes an access code for your MyLab Statistics course. In order to access the online course you will also need a Course ID, provided by your instructor.
This title-specific access card provides access to the Gould/Ryan/Wong, Introductory Statistics: Exploring the World Through Data, 3e accompanying MyLab course ONLY.
0135190231 / 9780135190234 MYLAB STATISTICS WITH PEARSON ETEXT -- STANDALONE ACCESS CARD -- FOR INTRODUCTORY STATISTICS: EXPLORING THE WORLD THROUGH DATA, 3/e
MyLab Statistics is the world’s leading online tutorial, and assessment program designed to help you learn and succeed in your statistics course. MyLab Statistics online courses are created to accompany one of Pearson’s best-selling math textbooks. Every MyLab Statistics course includes a complete, interactive eText. Learn more about MyLab Statistics.
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Specificaties
Lezersrecensies
Inhoudsopgave
- 1.1 What Are Data?
- 1.2 Classifying and Storing Data
- 1.3 Investigating Data
- 1.4 Organizing Categorical Data
- 1.5 Collecting Data to Understand Causality
- 2.1 Visualizing Variation in Numerical Data
- 2.2 Summarizing Important Features of a Numerical Distribution
- 2.3 Visualizing Variation in Categorical Variables
- 2.4 Summarizing Categorical Distributions
- 2.5 Interpreting Graphs
- 3.1 Summaries for Symmetric Distributions
- 3.2 What's Unusual? The Empirical Rule and z-Scores
- 3.3 Summaries for Skewed Distributions
- 3.4 Comparing Measures of Center
- 3.5 Using Boxplots for Displaying Summaries
- 4.1 Visualizing Variability with a Scatterplot
- 4.2 Measuring Strength of Association with Correlation
- 4.3 Modeling Linear Trends
- 4.4 Evaluating the Linear Model
- 5.1 What Is Randomness?
- 5.2 Finding Theoretical Probabilities
- 5.3 Associations in Categorical Variables
- 5.4 Finding Empirical Probabilities
- 6.1 Probability Distributions Are Models of Random Experiments
- 6.2 The Normal Model
- 6.3 The Binomial Model (Optional)
- 7.1 Learning about the World through Surveys
- 7.2 Measuring the Quality of a Survey
- 7.3 The Central Limit Theorem for Sample Proportions
- 7.4 Estimating the Population Proportion with Confidence Intervals
- 7.5 Comparing Two Population Proportions with Confidence
- 8.1 The Essential Ingredients of Hypothesis Testing
- 8.2 Hypothesis Testing in Four Steps
- 8.3 Hypothesis Tests in Detail
- 8.4 Comparing Proportions from Two Populations
- 9.1 Sample Means of Rando Samples
- 9.2 The Central Limit Theorem for Sample Means
- 9.3 Answering Questions about the Mean of a Population
- 9.4 Hypothesis Testing for Means
- 9.5 Comparing Two Population Means
- 9.6 Overview of Analyzing Means
- 10.1 The Basic Ingredients for Testing with Categorical Variables
- 10.2 The Chi-Square Test for Goodness of Fit
- 10.3 Chi-Square Tests for Associations between Categorical Variables
- 10.4 Hypothesis Tests When Sample Sizes Are Small
- 11.1 Multiple Comparisons
- 11.2 The Analysis of Variance
- 11.3 The ANOVA Test
- 11.4 Post-Hoc Procedures
- 12.1 Variation Out of Control
- 12.2 Controlling Variation in Surveys
- 12.3 Reading Research Papers
- 13.1 Transforming Data
- 13.2 The Sign Test for Paired Data
- 13.3 Mann-Whitney Test for Two Independent Groups
- 13.4 Randomization Tests
- 14.1 The Linear Regression Model
- 14.2 Using the Linear Model
- 14.3 Predicting Values and Estimating Means
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