level of measurment and statistics intro
level of measurment and statistics intro

... Remember the more stringent (lower) the level of significance you set the more significant the results are ...
File
File

1 . 2 . 3 . 4 . 5 - Stanford University
1 . 2 . 3 . 4 . 5 - Stanford University

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Be sure to use the Microsoft Equation Editor to show
Be sure to use the Microsoft Equation Editor to show

pp Section 9.1C
pp Section 9.1C

Statistics - Simmons College
Statistics - Simmons College

Sample Size and Power for Testing Means
Sample Size and Power for Testing Means

Section 10-1 t Distribution for Inferences about a Mean
Section 10-1 t Distribution for Inferences about a Mean

Standard Deviation of a Finite Set of Experimental Data
Standard Deviation of a Finite Set of Experimental Data

Estimating µ with Small Samples:
Estimating µ with Small Samples:

File - Professor Fell
File - Professor Fell

Fitting a Loss Distribution: Household Theft Sample Data
Fitting a Loss Distribution: Household Theft Sample Data

Lab 3 – Binomial Distribution
Lab 3 – Binomial Distribution

D-stats
D-stats

2.4 Measures of Variation
2.4 Measures of Variation

Einführung in die Biostatistik
Einführung in die Biostatistik

Sec. 2.5 – Measures of Position
Sec. 2.5 – Measures of Position

Slide 1
Slide 1

Thinking Like a Psychologist
Thinking Like a Psychologist

Explaining Psychological Statistics
Explaining Psychological Statistics

STAT 1220 Spring 2007 Common Final Exam May 3, 2007
STAT 1220 Spring 2007 Common Final Exam May 3, 2007

MTH 345 Exam 4 Fall 2013 Justify all answers with neat
MTH 345 Exam 4 Fall 2013 Justify all answers with neat

pptx
pptx

Descriptive Statistics
Descriptive Statistics

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.