## Description

Test Bank ( Complete Download ) for Introduction to Statistics and Data Analysis | 6th Edition | Peck

Test Bank ( Complete Download ) for Introduction to Statistics and Data Analysis | 6th

Edition | Roxy Peck

ISBN-10: 0357420438 | ISBN-13: 9780357420430

#### TABLE OF CONTENTS

Why Study Statistics? The Nature and Role of Variability. Statistics and the Data Analysis Process. Types of Data and Some Simple Graphical Displays. Corequisite Support.

2. COLLECTING DATA SENSIBLY.

Statistical Studies: Observation and Experimentation. Sampling. Simple Comparative Experiments. More on Experimental Design. Interpreting and Communicating the Results of Statistical Analyses. More on Observational Studies: Designing Surveys (online). Corequisite Support.

3. GRAPHICAL METHODS FOR DESCRIBING DATA.

Displaying Categorical Data: Comparative Bar Charts and Pie Charts. Displaying Numerical Data: Stem-and-Leaf Displays. Displaying Numerical Data: Frequency Distributions and Histograms. Displaying Bivariate Numerical Data. Interpreting and Communicating the Results of Statistical Analyses. Corequisite Support.

4. NUMERICAL METHODS FOR DESCRIBING DATA.

Describing the Center of a Data Set. Describing Variability in a Data Set. Summarizing a Data Set: Boxplots. Interpreting Center and Variability: Chebyshev’s Rule, the Empirical Rule, and z Scores. Interpreting and Communicating the Results of Statistical Analyses. Corequisite Support.

5. SUMMARIZING BIVARIATE DATA.

Correlation. Linear Regression: Fitting a Line to Bivariate Data. Assessing the Fit of a Line. Nonlinear Relationships and Transformations. Interpreting and Communicating the Results of Statistical Analyses. Logistic Regression (online). Corequisite Support.

6. PROBABILITY.

Chance Experiments and Events. Definition of Probability. Basic Properties of Probability. Conditional Probability. Independence. Some General Probability Rules. Estimating Probabilities Empirically Using Simulation. Corequisite Support.

7. RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS.

Random Variables. Probability Distributions for Discrete Random Variables. Probability Distributions for Continuous Random Variables. Mean and Standard Deviation of a Random Variable. Binomial and Geometric Distributions. Normal Distributions. Checking for Normality and Normalizing Transformations. Using the Normal Distribution to Approximate a Discrete Distribution. Corequisite Support.

8. SAMPLING VARIABILITY AND SAMPLING DISTRIBUTIONS.

Statistics and Sampling Variability. The Sampling Distribution of a Sample Mean. The Sampling Distribution of a Sample Proportion. Corequisite Support.

9. ESTIMATION USING A SINGLE SAMPLE.

Point Estimation. Large-Sample Confidence Interval for a Population Proportion. Confidence Interval for a Population Mean. Interpreting and Communicating the Results of Statistical Analyses. Bootstrap Confidence Intervals for a Population Proportion (optional). Bootstrap Confidence Intervals for a Population Mean (optional). Corequisite Support.

10. HYPOTHESIS TESTING USING A SINGLE SAMPLE.

Hypotheses and Test Procedures. Errors in Hypothesis Testing. Large-Sample Hypothesis Tests for a Population Proportion. Hypothesis Tests for a Population Mean. Power and Probability of Type II Error. Interpreting and Communicating the Results of Statistical Analyses. Exact Binomial Test and Randomization Test for a Population Proportion (optional). Randomization Test for a Population Mean (optional). Corequisite Support.

11. COMPARING TWO POPULATIONS OR TREATMENTS.

Inferences Concerning the Difference Between Two Population or Treatment Means Using Independent Samples. Inferences Concerning the Difference Between Two Population or Treatment Means Using Paired Samples. Large-Sample Inferences Concerning the Difference Between Two Population or Treatment Proportions. Interpreting and Communicating the Results of Statistical Analyses. Randomization-Based Inference for a Difference in Proportions (optional). Randomization-Based Inference for a Difference in Means (optional). Corequisite Support.

12. THE ANALYSIS OF CATEGORICAL DATA AND GOODNESS-OF-FIT TESTS.

Chi-Square Tests for Univariate Data. Tests for Homogeneity and Independence in a Two-way Table. Interpreting and Communicating the Results of Statistical Analyses. Corequisite Support.

13. SIMPLE LINEAR REGRESSION AND CORRELATION: INFERENTIAL METHODS.

Simple Linear Regression Model. Inferences about the Slope of the Population Regression Line. Checking Model Adequacy. Inferences Based on the Estimated Regression Line (online). Inferences About the Population Correlation Coefficient (online). Interpreting and Communicating the Results of Statistical Analyses (online). Corequisite Support.

14. MULTIPLE REGRESSION ANALYSIS.

Multiple Regression Models. Fitting a Model and Assessing Its Utility. Inferences Based on an Estimated Model (online). Other Issues in Multiple Regression (online). Interpreting and Communicating the Results of Statistical Analyses (online). Corequisite Support.

15. ANALYSIS OF VARIANCE.

Single-Factor ANOVA and the F Test. Multiple Comparisons. The F Test for a Randomized Block Experiment (online). Two-Factor ANOVA (online). Interpreting and Communicating the Results of Statistical Analyses (online). Corequisite Support.

16. NONPARAMETRIC (DISTRIBUTION-FREE) STATISTICAL METHODS (ONLINE).

Distribution-Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Independent Samples (Optional). Distribution Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Paired Samples. Distribution-Free ANOVA. Corequisite Support.