Hypothesis Testing - Columbia Statistics
Hypothesis Testing - Columbia Statistics

251y0312 - On-line Web Courses
251y0312 - On-line Web Courses

Chapter 9: Two-Sample Inference
Chapter 9: Two-Sample Inference

1 Basic ANOVA concepts
1 Basic ANOVA concepts

File
File

... 1-We first verified the necessary requirements are satisfied. The study results in samples that are considered to be simple random samples. 2- The conditions for a binomial experiment are satisfied because there is a fixed number of trials 654 participants and each trial is independent from the othe ...
Standard Deviation - South Miami Senior High School
Standard Deviation - South Miami Senior High School

SOCI102 - Exam 1 - Fall 2009
SOCI102 - Exam 1 - Fall 2009

Confidence Intervals, Part 1: Assessing the Accuracy of Samples
Confidence Intervals, Part 1: Assessing the Accuracy of Samples

Statistical Methods for Social Sciences 3(2
Statistical Methods for Social Sciences 3(2

Significance Tests and Tests of Hypotheses
Significance Tests and Tests of Hypotheses

Hypothesis Testing (Chapter 09)
Hypothesis Testing (Chapter 09)

File - TAU R Workshop 2015
File - TAU R Workshop 2015

Document
Document

Solutions - u.arizona.edu
Solutions - u.arizona.edu

Experimental Evaluation
Experimental Evaluation

PS 100a/200a Section 8 Junga Kim
PS 100a/200a Section 8 Junga Kim

iclicker_chapter_19
iclicker_chapter_19

ANOVA one way between
ANOVA one way between

bibliography - Oxfam iLibrary
bibliography - Oxfam iLibrary

Clicker_chapter20
Clicker_chapter20

File
File

Spring 2005 exam 2 solutions
Spring 2005 exam 2 solutions

Descriptive Statistics
Descriptive Statistics

Sampling Distribution and Confidence Interval
Sampling Distribution and Confidence Interval

the indicated conclusion in nontechnical terms. Be sure
the indicated conclusion in nontechnical terms. Be sure

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.