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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 5.4 Problem 16BSC

Question

The Central Intelligence Agency has specialists who analyze the frequencies of letters of the alphabet in an attempt to decipher intercepted messages that are sent as ciphered text. In standard English text, the letter e is used at a rate of 12.7%.

a. Find the mean and standard deviation for the number of times the letter e will be found on a typical page of 2600 characters.

b. In an intercepted ciphered message sent to France, a page of 2600 characters is found to have the letter e occurring 290 times. Is 290 unusually low or unusually high?

Solution

Step1 of 2:

The Central Intelligence Agency has specialists who analyze the frequencies of letters of the alphabet in an attempt to decipher intercepted messages that are sent as ciphered text. In standard English text, the letter e is used at a rate of 12.7%.

That is p = 0.127

a). The mean and standard deviation for the number of times the letter e will be found on a typical page of 2600 characters is given by

Consider a random variable “x” following a binomial distribution with sample size “n” and proportion “p”.

\(\text { i,e. } X \sim B(n, p)\)

Where,

n = 2600 and p = 0.127.

\(\begin{aligned} q & =1-p \\ & =1-0.127 . \\ & =0.873 \end{aligned}\)

Probability mass funct

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full solution

Title Elementary Statistics 12 
Author Mario F. Triola
ISBN 9780321836960

Solved: Deciphering Messages The Central Intelligence

Chapter 5.4 textbook questions

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