William Navidi and Barry Monk
Loose Leaf Elementary Statistics with Formula Card
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Loose Leaf Elementary Statistics with Formula Card
2nd Edition
By William Navidi and Barry Monk
Copyright: 2016
Copyright: 2016
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The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.
The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.
Program Details
h1> Table of Contents—Navidi/Monk Elementary Statistics
Chapter 1: Basic Ideas
1.1 Sampling
1.2 Types of Data
1.3 Design of Experiments
1.4 Bias in Study
Chapter 1 Summary
Chapter Quiz
Chapter 1 Review Exercises
Case Study
Chapter 2: Graphical Summaries of Data
2.1 Graphical Summaries for Qualitative Data
2.2 Frequency Distributions and Their Graphs
2.3 More Graphs for Quantitative Data
2.4 Graphs Can Be Misleading
Chapter 2 Summary
Chapter Quiz
Chapter 2 Review Exercises
Case Study
Chapter 3: Numerical Summaries of Data
3.1 Measures of Center Data
3.2 Measures of Spread
3.3 Measures of Position
Chapter 3 Summary
Chapter Quiz
Chapter 3 Review Exercises
Case Study
Chapter 4: Summarizing Bivariate Data
4.1 Correlation
4.2 The Least-Squares Regression Line
4.3 Features and Limitations of the Least-Squares Regression Line
Chapter 4 Summary
Chapter Quiz
Chapter 4 Review Exercises
Case Study
Chapter 5: Probability
5.1 Basic Ideas
5.2 The Addition Rule and the Rule of Compliments
5.3 Conditional Probability and the Multiplication Rule
5.4 Counting
Chapter 5 Summary
Chapter Quiz
Chapter 5 Review Exercises
Case Study
Chapter 6: Discrete Probability Distributions
6.1 Random Variables
6.2 The Binomial Distribution
6.3 The Poisson Distribution
Chapter 6 Summary
Chapter Quiz
Chapter 6 Review Exercises
Case Study
Chapter 7: The Normal Distribution
7.1 The Standard Normal Curve
7.2 Applications of the Normal Distribution
7.3 Sampling Distributions and the Central Limit Theorem
7.4 The Central Limit Theorem for Proportions
7.5 The Normal Approximation to the Binomial Distribution
7.6 Assessing Normality
Chapter 7 Summary
Chapter Quiz
Chapter 7 Review Exercises
Case Study
Chapter 8: Confidence Intervals
8.1 Confidence Intervals for a Population Mean, Standard Deviation Known
8.2 Confidence Intervals for a Population Mean, Standard Deviation Unknown
8.3 Confidence Intervals for a Population Proportion
8.4 The Central Limit Theorem for Proportions
8.5 Determining Which Method to Use
Chapter 8 Summary
Chapter Quiz
Chapter 8 Review Exercises
Case Study
Chapter 9: Hypothesis Testing
9.1 Basic Principles of Hypothesis Testing
9.2 Hypothesis Tests for a Population Mean, Standard Deviation Known
9.3 Hypothesis Tests for a Population Mean, Standard Deviation Unknown
9.4 Hypothesis Tests for Proportions
9.5 Hypothesis Tests for a Standard Deviation
9.6 Determining Which Method to Use
9.7 Power
Chapter 9 Summary
Chapter Quiz
Chapter 9 Review Exercises
Case Study
Chapter 10: Two-Sample Confidence Intervals
10.1 Confidence Intervals for the Difference Between Two Means: Independent Samples
10.2 Confidence Intervals for the Difference Between Two Proportions
10.3 Confidence Intervals for the Difference Between Two Means: Paired Samples
Chapter 10 Summary
Chapter Quiz
Chapter 10 Review Exercises
Case Study
Chapter 11: Two-Sample Hypothesis Tests
11.1 Hypothesis Tests for the Difference Between Two Means: Independent Samples
11.2 Hypothesis Tests for the Difference Between Two Proportions
11.3 Hypothesis Tests for the Difference Between Two Means: Paired Samples
11.4 Hypothesis Tests for Two Population Standard Deviations
11.5 The Multiple Testing Problem
Chapter 11 Summary
Chapter Quiz
Chapter 11 Review Exercises
Case Study
Chapter 12: Tests with Qualitative Data
12.1 Testing Goodness-of-Fit
12.2 Tests for Independence and Homogeneity
Chapter 12 Summary
Chapter Quiz
Chapter 12 Review Exercises
Case Study
Chapter 13: Inference in Linear Models
13.1 Inference on the Slope of the Regression Line
13.2 Inference About the Response
Chapter 13 Summary
Chapter Quiz
Chapter 13 Review Exercises
Case Study
Chapter 14: Analysis of Variance
14.1 One-way Analysis of Variance
14.2 Two-way Analysis of Variance
Chapter 14 Summary
Chapter Quiz
Chapter 14 Review Exercises
Case Study
h1> Table of Contents—Navidi/Monk Elementary Statistics
Chapter 1: Basic Ideas
1.1 Sampling
1.2 Types of Data
1.3 Design of Experiments
1.4 Bias in Study
Chapter 1 Summary
Chapter Quiz
Chapter 1 Review Exercises
Case Study
Chapter 2: Graphical Summaries of Data
2.1 Graphical Summaries for Qualitative Data
2.2 Frequency Distributions and Their Graphs
2.3 More Graphs for Quantitative Data
2.4 Graphs Can Be Misleading
Chapter 2 Summary
Chapter Quiz
Chapter 2 Review Exercises
Case Study
Chapter 3: Numerical Summaries of Data
3.1 Measures of Center Data
3.2 Measures of Spread
3.3 Measures of Position
Chapter 3 Summary
Chapter Quiz
Chapter 3 Review Exercises
Case Study
Chapter 4: Summarizing Bivariate Data
4.1 Correlation
4.2 The Least-Squares Regression Line
4.3 Features and Limitations of the Least-Squares Regression Line
Chapter 4 Summary
Chapter Quiz
Chapter 4 Review Exercises
Case Study
Chapter 5: Probability
5.1 Basic Ideas
5.2 The Addition Rule and the Rule of Compliments
5.3 Conditional Probability and the Multiplication Rule
5.4 Counting
Chapter 5 Summary
Chapter Quiz
Chapter 5 Review Exercises
Case Study
Chapter 6: Discrete Probability Distributions
6.1 Random Variables
6.2 The Binomial Distribution
6.3 The Poisson Distribution
Chapter 6 Summary
Chapter Quiz
Chapter 6 Review Exercises
Case Study
Chapter 7: The Normal Distribution
7.1 The Standard Normal Curve
7.2 Applications of the Normal Distribution
7.3 Sampling Distributions and the Central Limit Theorem
7.4 The Central Limit Theorem for Proportions
7.5 The Normal Approximation to the Binomial Distribution
7.6 Assessing Normality
Chapter 7 Summary
Chapter Quiz
Chapter 7 Review Exercises
Case Study
Chapter 8: Confidence Intervals
8.1 Confidence Intervals for a Population Mean, Standard Deviation Known
8.2 Confidence Intervals for a Population Mean, Standard Deviation Unknown
8.3 Confidence Intervals for a Population Proportion
8.4 The Central Limit Theorem for Proportions
8.5 Determining Which Method to Use
Chapter 8 Summary
Chapter Quiz
Chapter 8 Review Exercises
Case Study
Chapter 9: Hypothesis Testing
9.1 Basic Principles of Hypothesis Testing
9.2 Hypothesis Tests for a Population Mean, Standard Deviation Known
9.3 Hypothesis Tests for a Population Mean, Standard Deviation Unknown
9.4 Hypothesis Tests for Proportions
9.5 Hypothesis Tests for a Standard Deviation
9.6 Determining Which Method to Use
9.7 Power
Chapter 9 Summary
Chapter Quiz
Chapter 9 Review Exercises
Case Study
Chapter 10: Two-Sample Confidence Intervals
10.1 Confidence Intervals for the Difference Between Two Means: Independent Samples
10.2 Confidence Intervals for the Difference Between Two Proportions
10.3 Confidence Intervals for the Difference Between Two Means: Paired Samples
Chapter 10 Summary
Chapter Quiz
Chapter 10 Review Exercises
Case Study
Chapter 11: Two-Sample Hypothesis Tests
11.1 Hypothesis Tests for the Difference Between Two Means: Independent Samples
11.2 Hypothesis Tests for the Difference Between Two Proportions
11.3 Hypothesis Tests for the Difference Between Two Means: Paired Samples
11.4 Hypothesis Tests for Two Population Standard Deviations
11.5 The Multiple Testing Problem
Chapter 11 Summary
Chapter Quiz
Chapter 11 Review Exercises
Case Study
Chapter 12: Tests with Qualitative Data
12.1 Testing Goodness-of-Fit
12.2 Tests for Independence and Homogeneity
Chapter 12 Summary
Chapter Quiz
Chapter 12 Review Exercises
Case Study
Chapter 13: Inference in Linear Models
13.1 Inference on the Slope of the Regression Line
13.2 Inference About the Response
Chapter 13 Summary
Chapter Quiz
Chapter 13 Review Exercises
Case Study
Chapter 14: Analysis of Variance
14.1 One-way Analysis of Variance
14.2 Two-way Analysis of Variance
Chapter 14 Summary
Chapter Quiz
Chapter 14 Review Exercises
Case Study
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