a. regression b. t-test for independent samples c. matched pairs d
a. regression b. t-test for independent samples c. matched pairs d

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Lecture(Ch17
Lecture(Ch17

Part 2 - Angelfire
Part 2 - Angelfire

... the basis for our decision to reject or fail to reject the null hypothesis. ...
Statistics in Applied Science and Technology
Statistics in Applied Science and Technology

Student t distribution
Student t distribution

Topic One: IRT, and the Rasch Model, in a nutshell
Topic One: IRT, and the Rasch Model, in a nutshell

IB Biology Topic 1: Statistical Anaylsis
IB Biology Topic 1: Statistical Anaylsis

IB Biology Topic 1: Statistical Anaylsis
IB Biology Topic 1: Statistical Anaylsis

... 2. Set critical P level at P=0.05 (5%) 3. Write the decision rule— If P > 5% then the two sets are the same (i.e. accept the null hypothesis). If P < 5% then the two sets are different (i.e. reject the null hypothesis). 4. Write a summary statement based on the decision. The null hypothesis is rejec ...
t - Statistics
t - Statistics

Math 15 April 16, 2016 Distribution of Sample Means Name
Math 15 April 16, 2016 Distribution of Sample Means Name

ExamView Pro - STAT 362
ExamView Pro - STAT 362

Sample size and power lab (DRAFT)
Sample size and power lab (DRAFT)

Lecture 9
Lecture 9

CHAPTER 11 NOTES: INFERENCE FOR A DISTRIBUTION
CHAPTER 11 NOTES: INFERENCE FOR A DISTRIBUTION

Exam 2 and solution
Exam 2 and solution

Comparing Two Population Means
Comparing Two Population Means

Sample Size Calculations for Completely Randomized Treatment
Sample Size Calculations for Completely Randomized Treatment

A brief review on sample variance
A brief review on sample variance

Notes 7 - Wharton Statistics
Notes 7 - Wharton Statistics

Hypothesis Testing to Compare the Difference in 2 Population Means
Hypothesis Testing to Compare the Difference in 2 Population Means

Class 15- Sections: 7.3
Class 15- Sections: 7.3

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Document

University of Nairobi
University of Nairobi

written sources of data
written sources of data

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.