Large Data Sets. In Exercise, refer to the data sets in | StudySoup
Elementary Statistics | 12th Edition | ISBN: 9780321836960 | Authors: Mario F. Triola

Table of Contents

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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 6.3 Problem 33BS

Question

Large Data Sets. In Exercises 33 and 34, refer to the data sets in Appendix B and use computer software or a calculator.

Appendix B Data Set: Pulse Rates of Males Refer to Data Set 1 in Appendix B and use the pulse rates of males.

a. Find the mean and standard deviation, and verify that the pulse rates have a distribution that is roughly normal.

b. Treating the unrounded values of the mean and standard deviation as parameters, and assuming that male pulse rates are normally distributed, find the pulse rate separating the lowest 2.5% and the pulse rate separating the highest 2.5%. These values could be helpful when physicians try to determine whether pulse rates are unusually low or unusually high.

Solution

Answer

Step 1 of 1 :

a)

Consider male pulse rate data

Pulse rate

Pulse rate

60

68

74

58

86

68

54

70

90

56

80

66

66

78

68

68

68

62

56

70

80

72

62

74

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full solution

Title Elementary Statistics 12 
Author Mario F. Triola
ISBN 9780321836960

Large Data Sets. In Exercise, refer to the data sets in

Chapter 6.3 textbook questions

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