From the Generic Syllabus for Chapter 9
From the Generic Syllabus for Chapter 9

the normal distribution based on standard deviation
the normal distribution based on standard deviation

... eMATHINSTRUCTION, RED HOOK, NY 12571, © 2009 ...
One-Way Analysis of Variance (ANOVA)
One-Way Analysis of Variance (ANOVA)

measures of dispersion
measures of dispersion

Chapter 3: The Normal Distributions
Chapter 3: The Normal Distributions

Confidence Interval for a Population Mean
Confidence Interval for a Population Mean

Exercises 1. Descriptive Statistics 2. Probability and Expected Value
Exercises 1. Descriptive Statistics 2. Probability and Expected Value

Means & Medians
Means & Medians

Chapter 8: Introduction to Statistical Inference
Chapter 8: Introduction to Statistical Inference

Exercises in Statistics
Exercises in Statistics

Preview Sample 2
Preview Sample 2

Chapter 14-15 - University of Utah Math Department
Chapter 14-15 - University of Utah Math Department

The SURVEYMEANS Procedure Statistical Computations The
The SURVEYMEANS Procedure Statistical Computations The

ANOVA Assumptions - bradthiessen.com
ANOVA Assumptions - bradthiessen.com

Slide 25
Slide 25

Unit 2, Quiz 1 - Union Academy Charter School
Unit 2, Quiz 1 - Union Academy Charter School

Section 8.1 Notes
Section 8.1 Notes

Measures of Variation
Measures of Variation

Chapter 4
Chapter 4

Module 9 Test.tst
Module 9 Test.tst

Comparing Two Population Means
Comparing Two Population Means

chap01
chap01

... Population Divided into 2 or More Groups According to Some Common Characteristic Simple Random Sample Selected from Each Group The Two or More Samples are Combined into One ...
Estimating Means and Proportions
Estimating Means and Proportions

Document
Document

Chap. 8: Estimation of Population Parameters: Confidence Intervals
Chap. 8: Estimation of Population Parameters: Confidence Intervals

Student's t-test

A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution.