Balanced Design Analysis of Variance
Balanced Design Analysis of Variance

X - EE003
X - EE003

- kradermath
- kradermath

Power Point Chapter 4
Power Point Chapter 4

Class 13 - University of Arizona Math
Class 13 - University of Arizona Math

N - PSI207
N - PSI207

University of Kansas Medical Center
University of Kansas Medical Center

9.4 Standard Deviation
9.4 Standard Deviation

... roughly 95 percent of the data points. Three (3) standard deviations (the red, green and blue areas) account for about 99 percent of the data points. ...
An exercise - Poverty Action Lab
An exercise - Poverty Action Lab

Descriptive Statistics
Descriptive Statistics

stat11t_Chapter12
stat11t_Chapter12

1 Psychology 281(001) Assignment 1 1. In your own words, describe
1 Psychology 281(001) Assignment 1 1. In your own words, describe

Statistical Analysis of Proportions
Statistical Analysis of Proportions

Statistical Analysis of Proportions
Statistical Analysis of Proportions

practice quiz 3
practice quiz 3

Variability
Variability

Chap2
Chap2

Chapter 2: Descriptive Statistics
Chapter 2: Descriptive Statistics

Testing 05 - 厦门大学外文学院
Testing 05 - 厦门大学外文学院

Chapter 3: Numerically Summarizing Data
Chapter 3: Numerically Summarizing Data

Mind on Statistics Test Bank - Michigan State University`s Statistics
Mind on Statistics Test Bank - Michigan State University`s Statistics

1 - Marketing-Research-Obal
1 - Marketing-Research-Obal

the importance of the normality assumption in large
the importance of the normality assumption in large

Hypothesis Testing and Confidence Intervals for Two Populations
Hypothesis Testing and Confidence Intervals for Two Populations

day3-E2005
day3-E2005

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.