Title:
Statistics
Personal Author:
Edition:
6th ed.
Publication Information:
New York : MacMillan, 1994
Physical Description:
1v + 1 disk (DSK 918)
ISBN:
9780023792113
Subject Term:
Added Author:
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | 30000003515818 | QA276.12 M43 1994 | Open Access Book | Book | Searching... |
On Order
Table of Contents
1 Statistics, Data, and Statistical Thinking |
The Science of Statistics |
Types of Statistical Applications |
Fundamental Elements of Statistics |
Types of Data |
Collecting Data |
The Role of Statistics in Critical Thinking |
2 Methods for Describing Sets of Data |
Describing Qualitative Data |
Graphical Methods for Describing Quantitative Data |
Summation Notation |
Numerical Measures of Central Tendency |
Numerical Measures of Variability |
Interpreting the Standard Deviation |
Numerical Measures of Relative Standing |
Methods for Detecting Outliers (Optional) |
Graphing Bivariate Relationships (Optional) |
Distorting the Truth with Descriptive Techniques |
3 Probability |
Events, Sample Spaces, and Probability |
Unions and Intersections |
Complementary Events |
The Additive Rule and Mutually Exclusive Events |
Conditional Probability |
The Multiplicative Rule and Independent Events |
Random Sampling |
Some Counting Rules (Optional) |
4 Discrete Random Variables |
Two Types of Random Variables |
Probability Distributions for Discrete Random Variables |
Expected Values of Discrete Random Variables |
The Binomial Random Variable |
The Poisson Random Variable (Optional) |
The Hypergeometric Random Variable (Optional) |
5 Continuous Random Variables |
Continuous Probability Distributions |
The Uniform Distribution |
The Normal Distribution |
Descriptive Methods for Assessing Normality |
Approximating a Binomial Distribution with a Normal Distribution (Optional) |
The Exponential Distribution (Optional) |
6 Sampling Distributions |
What Is a Sampling Distribution? Properties of Sampling Distributions |
Unbiasedness and Minimum Variance (Optional) |
The Central Limit Theorem |
7 Inferences Based on a Single Sample: Estimation with Confidence Intervals |
Large-Sample Confidence Interval for a Population Mean |
Small-Sample Confidence Interval for a Population Mean |
Large-Sample Confidence Interval for a Population Proportion |
Determining the Sample Size |
8 Inferences Based on a Single Sample: Tests of Hypotheses |
The Elements of a Test of Hypothesis |
Large-Sample Test of Hypothesis about a Population Mean |
Observed Significance Levels: p-Values |
Small-Sample Test of Hypothesis about a Population Mean |
Large-Sample Test of Hypothesis about a Population Proportion |
Calculating Type II Error Probabilities: More about hellip;b (Optional) |
Test of Hypothesis about a Population Proportion |
9 Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses |
Comparing Two Population Means: Independent Sampling |
Comparing Two Population Means: Paired Difference Experiments |
Comparing Two Population Proportions: Independent Sampling |
Determining the Sample Size |
Comparing Two Population Variances: Independent Sampling (Optional) |
10 Analysis of Variance: Comparing More Than Two Means |
Elements of a Designed Experiment |
The Completely Randomized Design |
Multiple Comparisons of Means |
The Randomized Block Design |
Factorial Experiments |
11 Simple Linear Regression |
Probabalistic Models |
Fitting the Model: The Least Squares Approach |
Model Assumptions |
An Estimator of hellip;s2 |
Assessing the Utility of the Model: Making Inferences about the Slope hellip;b1 |
The Coefficient of Correlation |
The Coefficient of Determination |
Using the Model for Estimation and Prediction |
A Complete Example |
12 Multiple Regression and Model Building |
Multiple Regression Models |
The First-Order Model: Estimating and Interpreting the hellip;b Parameters |
Model Assumptions |
Inferences About the Individual hellip;b Parameters |
Checking the Overall Utility of a Model |
Using the Model for Estimation and Prediction |
Model Building: Interaction Models |
Model Building: Quadratic and Other Higher-Order Models |
Model Building: Qualitative (Dummy) Variable Models |
Model Building: Models with Both Quantitative and Qualitative Variables |
Model Building: Comparing Nested Models |
Model Building: Stepwise Regression |
Residual Analysis: Checking the Regression Assumptions |
Some Pitfalls: Estimability, Multicollinearity, and Extrapolation |
13 Categorical Data Analysis |
Categorical Data and the Multinomial Distribution |
Testing Categorical Probabilities: One-Way Table |
Testing Categorical Probabilities: Two-Way (Contingency) Table |
A Word of Caution about Chi-Square Tests |
14 Nonparametric Statistics |
Introduction: Distribution-Free Tests |
Single Population Inferences: The Sign Test |
Comparing Two Populations: The Wilcoxon Rank Sum Test for Independent Samples |
Comparing Two Populations: The Wilcoxon Signed Rank Test for the Paired Difference Experiment |
The Kruskal-Wallis H-Test for a Completely Randomized Design |
The Friedman F r -Test for a Randomized Block Design |
Spearman''s Rank Correlation Coefficient |
Appendix A Tables Random Numbers |
Binomial Probabilities |
Poisson Probabilities |
Normal Curve Areas |
Exponentials |
Critical Values of t |
Critical Values of hellip;c2 |
Percentage Points of the F Distribution, hellip;a= .10 |
Percentage Points of the F Distribution, hellip;a=.05 |
Percentage Points of the F Distribution, hellip;a=.025 |
Percentage Points of the F Distribution, hellip;a=.01 |
Critical Values of T L and T U for the Wilcoxon Rank Sum Test: Independent Samples |
Critical Values of T O in the Wilcoxon Paired Difference Signed Rank Test |
Critical Values of Spearman''s Rank Correlation Coefficient |
Appendix B Data Sets |
Coronary Artery Patients'' Blood Loss Data |
Car & Driver Data |
Starting Salaries of USF Graduates |
Sealed Milk Bids Data |
Federal Trade Commission Rankings of Domestic Cigarette Brands |
Appendix C Calculation Formulas for Analysis of Variance |
Short Answers to Selected Odd-Numbered Exercises |
Index |