In Exercises 14, use the following survey results: Randomly selected subjects were asked if they agreed with the statement It is morally wrong for married people to have an affair. Among the 386 women surveyed, 347 agreed with the statement. Among the 359 men surveyed, 305 agreed with the statement (based on data from a Pew Research poll).Identify the null and alternative hypotheses resulting from the claim that the proportion of women who agree with the given statement is equal to the proportion of men who agree
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1
Introduction to Statistics
1-2
Statistical and Critical Thinking
1-3
Types of Data
1-4
Collecting Sample Data
1.2
Statistical and Critical Thinking
1.3
Types of Data
1.4
Collecting Sample Data
2
Summarizing and Graphing
2-2
Frequency Distributions
2-3
Histograms
2-4
Graphs That Enlighten and Graphs That Deceive
2.2
Frequency Distributions
2.3
Histograms
2.4
Graphs That Enlighten and Graphs That Deceive
3
Statistics for Describing, Exploring, and Comparing Data
3-2
Measures of Center
3-3
Measures of Variation
3-4
Measures of Relative Standing and Boxplots
3.2
Measures of Center
3.3
Measures of Variation
3.4
Measures of Relative Standing and Boxplots
4
Probability
4-2
Basic Concepts of Probability
4-3
Addition Rule
4-4
Multiplication Rule: Basics
4-5
Multiplication Rule: Complements and Conditional Probability
4-6
Counting
4.2
Basic Concepts of Probability
4.3
Addition Rule
4.4
Multiplication Rule: Basics
4.5
Multiplication Rule: Complements and Conditional Probability
4.6
Counting
4.7
Probabilities Through Simulations (on CD-ROM)
4.8
Bayes' Theorem (on CD-ROM)
5
Discrete Probability Distributions
5-2
Probability Distributions
5-3
Binomial Probability Distributions
5-4
Parameters for Binomial Distributions
5-5
Poisson Probability Distributions
5.2
Probability Distributions
5.3
Binomial Probability Distributions
5.4
Parameters for Binomial Distributions
5.5
Poisson Probability Distributions
6
Normal Probability Distributions
6-2
The Standard Normal Distribution
6-3
Applications of Normal Distributions
6-4
Sampling Distributions and Estimators
6-5
The Central Limit Theorem
6-6
Assessing Normality
6-7
Normal as Approximation to Binomial
6.2
The Standard Normal Distribution
6.3
Applications of Normal Distributions
6.4
Sampling Distributions and Estimators
6.5
The Central Limit Theorem
6.6
Assessing Normality
6.7
Normal as Approximation to Binomial
7
Estimates and Sample Sizes
7-2
Estimating a Population Proportion
7-3
Estimating a Population Mean
7-4
Estimating a Population Standard Deviation or Variance
7.2
Estimating a Population Proportion
7.3
Estimating a Population Mean
7.4
Estimating a Population Standard Deviation or Variance
8
Hypothesis Testing
8-2
Basics of Hypothesis Testing
8-3
Testing a Claim About a Proportion
8-4
Testing a Claim About a Mean
8-5
Testing a Claim About a Standard Deviation or Variance
8.2
Basics of Hypothesis Testing
8.3
Testing a Claim About a Proportion
8.4
Testing a Claim About a Mean
8.5
Testing a Claim About a Standard Deviation or Variance
9
Inferences from Two Samples
9-2
Two Proportions
9-3
Two Means: Independent Samples
9-4
Two Dependent Samples (Matched Pairs)
9-5
Two Variances or Standard Deviations
9.2
Two Proportions
9.3
Two Means: Independent Samples
9.4
Two Dependent Samples (Matched Pairs)
9.5
Two Variances or Standard Deviations
10
Correlation and Regression
10-2
Correlation
10-3
Regression
10-4
Prediction Intervals and Variation
10-5
Multiple Regression
10-6
Nonlinear Regression
10.2
Correlation
10.3
Regression
10.4
Prediction Intervals and Variation
10.5
Multiple Regression
10.6
Nonlinear Regression
11
Goodness-of-Fit and Contingency Tables
11-2
Goodness-of-Fit
11-3
Contingency Tables
11.2
Goodness-of-Fit
11.3
Contingency Tables
12
Analysis of Variance
12-2
One-Way ANOVA
12-3
Two-Way ANOVA
12.2
One-Way ANOVA
12.3
Two-Way ANOVA
13
Nonparametric Tests
13-3
Wilcoxon Signed-Ranks Test for Matched Pairs
13-4
Wilcoxon Rank-Sum Test for Two Independent Samples
13-5
Kruskal-Wallis Test
13-6
Rank Correlation
13-7
Runs Test for Randomness
13.2
Sign Test
13.2
Sign Test
13.3
Wilcoxon Signed-Ranks Test for Matched Pairs
13.4
Wilcoxon Rank-Sum Test for Two Independent Samples
13.5
Kruskal-Wallis Test
13.6
Rank Correlation
13.7
Runs Test for Randomness
14
Statistical Process Control
14-2
Control Charts for Variation and Mean
14-3
Control Charts for Attributes
14.2
Control Charts for Variation and Mean
14.3
Control Charts for Attributes
Textbook Solutions for Elementary Statistics
Chapter 9 Problem 9
Question
Determine whether the following statement is true or false: When testing the claim that the mean annual income of statistics professors in New York is equal to the mean annual income of statistics professors in Illinois, either the two population standard deviations must be known or both samples must include more than 30 values.
Solution
Step 1 of 2
False, because the two population standard deviations do not need to be known.
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full solution
full solution
Title
Elementary Statistics 12
Author
Mario F. Triola
ISBN
9780321836960