In what ways is the t distribution similar to the standard normal distribution? In what ways is the t distribution different from the standard normal distribution?
Read moreTable of Contents
1
The Nature of Probability and Statistics
2
Frequency Distributions and Graphs
2-1
Organizing Data
2-2
Histograms, Frequency Polygons, and Ogives
2-3
Other Types of Graphs
3
Data Description
3-1
Measures of Central Tendency
3-2
Measures of Variation
3-3
Measures of Position
3-4
Exploratory Data Analysis
4
Probability and Counting Rules
4-1
Sample Spaces and Probability
4-2
The Addition Rules for Probability
4-3
The Multiplication Rules and Conditional Probability
4-4
Counting Rules
4-5
Probability and Counting Rules
5
Review Execises
5-1
Probability Distributions
5-2
Mean, Variance, Standard Deviation, and Expectation
5-3
The Binomial Distribution
5-4
Other Types of Distributions (Optional)
6
Review Execises
6-1
Normal Distributions
6-2
Applications of the Normal Distribution
6-3
The Central Limit Theorem
6-4
The Normal Approximation to the Binomial Distribution
7
Review Execises
7-1
Confidence Intervals for the Mean When s Is Known
7-2
Confidence Intervals for the Mean When s Is Unknown
7-3
Confidence Intervals and Sample Size for Proportions
7-4
Confidence Intervals for Variances and Standard Deviations
8
Review Execises
8-1
Steps in Hypothesis TestingTraditional Method
8-2
z Test for a Mean
8-3
t Test for a Mean
8-4
z Test for a Proportion
8-5
x2 Test for a Variance or Standard Deviation
8-6
Additional Topics Regarding Hypothesis Testing
9
Review Execises
9-1
Testing the Difference Between Two Means: Using the z Test
9-2
Testing the Difference Between Two Means of Independent Samples: Using the t Test
9-3
Testing the Difference Between Two Means: Dependent Samples
9-4
Testing the Difference Between Proportions
9-5
Testing the Difference Between Two Variances
10
Review Execises
10-1
Scatter Plots and Correlation
10-2
Regression
10-3
Coefficient of Determination and Standard Error of the Estimate
10-4
Multiple Regression (Optional
11
Review Execises
11-1
Test for Goodness of Fit
11-2
Tests Using Contingency Tables
12
Review Execises
12-1
One-Way Analysis of Variance
12-2
The Scheff Test and the Tukey Test
12-3
Two-Way Analysis of Variance
13
Review Execises
13-1
Advantages and Disadvantages of Nonparametric Methods
13-2
The Sign Test
13-3
The Wilcoxon Rank Sum Test
13-4
The Wilcoxon Signed-Rank Test
13-5
The Kruskal-Wallis Test
13-6
The Spearman Rank Correlation Coefficient and the Runs Test
14
Review Execises
14-1
Common Sampling Techniques
14-2
Surveys and Questionnaire Design
14-3
Simulation Techniques and the Monte Carlo Method
Textbook Solutions for Elementary Statistics: A Step by Step Approach 8th ed.
Chapter 8-3 Problem 2
Question
What are the degrees of freedom for the t test?
Solution
The first step in solving 8-3 problem number 2 trying to solve the problem we have to refer to the textbook question: What are the degrees of freedom for the t test?
From the textbook chapter t Test for a Mean you will find a few key concepts needed to solve this.
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Title
Elementary Statistics: A Step by Step Approach 8th ed. 8
Author
Allan G Bluman Professor Emeritus
ISBN
9780073386102