Answer: Describe the simulation procedure. (For example, | StudySoup
Elementary Statistics | 12th Edition | ISBN: 9780321836960 | Authors: Mario F. Triola

Table of Contents

cc

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 4.7 Problem 8BSC

Question

Problem  8BSC

 

Describe the simulation procedure. (For example, to simulate 10 births, use a random number generator to generate 10 integers between 0 and 1 inclusive, and consider 0 to be a male and 1 to be a female.)

Simulating Hybridization When Mendel conducted his famous hybridization experiments, he used peas with green pods and yellow pods. One experiment involved crossing peas in such a way that 75% of the offspring peas were expected to have green pods, and 25% of the offspring peas were expected to have yellow pods. Describe a procedure for using software or a TI-83/84 Plus calculator to simulate 20 peas in such a hybridization experiment. Each of the 20 individual outcomes should be an indication of one of two results: (1) The pod is green; (2) the pod is yellow.

Solution

Solution  8BSC

Subscribe to view the
full solution

Title Elementary Statistics 12 
Author Mario F. Triola
ISBN 9780321836960

Answer: Describe the simulation procedure. (For example,

Chapter 4.7 textbook questions

×

Login

Organize all study tools for free

Or continue with
×

Register

Sign up for access to all content on our site!

Or continue with

Or login if you already have an account

×

Reset password

If you have an active account we’ll send you an e-mail for password recovery

Or login if you have your password back