Descriptive Statistics
Descriptive Statistics

Practice Exam 2
Practice Exam 2

... researchers believe these women will observe a change in their diastolic blood pressure after 4 months in the experimental program. The pretrial mean diastolic blood pressure of study participants is 120 mm Hg; their post-trial diastolic pressure is 115. Assume normality of the relevant distribution ...
Document
Document

Sampling (Ch 7)
Sampling (Ch 7)

Lecture1
Lecture1

summary statistics
summary statistics

Problem Set 3
Problem Set 3

Chapter 16
Chapter 16

... C pk  Min  ...
process standard deviation
process standard deviation

One and two sample t
One and two sample t

In an opinion poll, 25% of 200 people sampled said that they
In an opinion poll, 25% of 200 people sampled said that they

Construct Confidence Interval for Normal Distribution
Construct Confidence Interval for Normal Distribution

Hypothesis testing
Hypothesis testing

Least Squares - Auburn Engineering
Least Squares - Auburn Engineering

Outline - Benedictine University
Outline - Benedictine University

Estimation Procedures - Karen A. Donahue, Ph.D.
Estimation Procedures - Karen A. Donahue, Ph.D.

Chapter 10 Comparisons Involving Means Part A
Chapter 10 Comparisons Involving Means Part A

Distribution Representations - MLAI Lecture 2
Distribution Representations - MLAI Lecture 2

Statistical Foundations: Hypothesis Testing
Statistical Foundations: Hypothesis Testing

Basic Statistical Models - CIS @ Temple University
Basic Statistical Models - CIS @ Temple University

Ethical Requirements
Ethical Requirements

Statistical Inference
Statistical Inference

EXAM 1 Practice Problems
EXAM 1 Practice Problems

Lecture 9: Statistical Inference
Lecture 9: Statistical Inference

notes
notes

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.