Acid Rain
Acid Rain

Document
Document

Sampling Distributions Sampling distribution
Sampling Distributions Sampling distribution

Slide 1- 20 - Department of Economics
Slide 1- 20 - Department of Economics

Superiority by a Margin Tests for Two Means using Differences
Superiority by a Margin Tests for Two Means using Differences

Large-Sample Estimation
Large-Sample Estimation

Chapter 7 Sampling Distributions
Chapter 7 Sampling Distributions

TOPICS AP STATS FINAL SEMESTER 1 Chapter 1 – Exploring Data
TOPICS AP STATS FINAL SEMESTER 1 Chapter 1 – Exploring Data

Mean and Standard Deviation of the Sample Mean
Mean and Standard Deviation of the Sample Mean

Probability Distributions - Department of Earth System Science
Probability Distributions - Department of Earth System Science

Statistics made simple
Statistics made simple

THE NORMAL DISTRIBUTION Chapter 6 Prob. Model for a
THE NORMAL DISTRIBUTION Chapter 6 Prob. Model for a

... fall within two SD of the mean. 3. Almost all the observations (99.6%) fall within three SD of the mean. ...
Stat 250
Stat 250

Annotated SPSS Output
Annotated SPSS Output

Joint probability distributions
Joint probability distributions

Core Examples
Core Examples

Procedure - Web4students
Procedure - Web4students

There is no significant difference in the mean overall test
There is no significant difference in the mean overall test

Document
Document

is used when we have categorical (nominal) rather than interval
is used when we have categorical (nominal) rather than interval

handout - Iain Pardoe
handout - Iain Pardoe

Random Processes
Random Processes

exam ii review
exam ii review

Statistics Course Assignments By Ted Cann Assignment 1
Statistics Course Assignments By Ted Cann Assignment 1

University of Toronto Scarborough STAB22 Final Examination
University of Toronto Scarborough STAB22 Final Examination

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.