London School of Business & Finance (HK) Ltd.
London School of Business & Finance (HK) Ltd.

03/04 - David Youngberg
03/04 - David Youngberg

Sample Size Calculation for SRS when Estimating Proportions
Sample Size Calculation for SRS when Estimating Proportions

descriptive stats
descriptive stats

... In this example an error would be committed if we said that there is a difference between men and women with respect to brand awareness when in fact there was no difference i.e. we have rejected the null hypothesis when it is in fact true This error is commonly known as Type I error, The value of ...
Supplementary figure 1: Power is the probability of rejecting a false
Supplementary figure 1: Power is the probability of rejecting a false

Mean Differences - NMSU College of Business
Mean Differences - NMSU College of Business

Chapters 4 Statistical treatment of Data
Chapters 4 Statistical treatment of Data

Tests of Hypothesis - KFUPM Faculty List
Tests of Hypothesis - KFUPM Faculty List

Anne_Ryan_Short_Course 2-4
Anne_Ryan_Short_Course 2-4

Test 1 - La Sierra University
Test 1 - La Sierra University

Significance Testing: The t-test (and ANOVA)
Significance Testing: The t-test (and ANOVA)

Psychology 101
Psychology 101

Stat 115 Homework Week 9
Stat 115 Homework Week 9

Slides 1-22 Estimation
Slides 1-22 Estimation

Lab 7. Confidence intervals (C.I.`s) for the mean (known σ) 1
Lab 7. Confidence intervals (C.I.`s) for the mean (known σ) 1

Stats SB Notes 7.3.notebook
Stats SB Notes 7.3.notebook

One Tailed Tests - Wayne State College
One Tailed Tests - Wayne State College

Comparing two groups - Part 1 - Garvan Institute of Medical Research
Comparing two groups - Part 1 - Garvan Institute of Medical Research

H - AUEB e
H - AUEB e

Exam III Fall 2000
Exam III Fall 2000

Basic Concepts in Hypothesis Testing
Basic Concepts in Hypothesis Testing

Topic 2: Distributions, hypothesis testing, and sample size
Topic 2: Distributions, hypothesis testing, and sample size

Sample
Sample

Design of Engineering Experiments Part 2
Design of Engineering Experiments Part 2

Psyc 21621: Quantitative Methods I - personal.kent.edu
Psyc 21621: Quantitative Methods I - personal.kent.edu

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.