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Inferential Statistics

1‑Sample t‑Test

A 1‑Sample t‑Test is a sta­tis­ti­cal hypoth­e­sis test that we use to make infer­ences about a pop­u­la­tion mean based on data from a ran­dom sam­ple. It’s effec­tive even for small sam­ple sizes. Learn the assump­tions and the steps for con­duct­ing a 1‑sample t‑test.

Course Videos

1

Inferential Statistics Overview and Sampling

05:25

 2

Hypothesis Testing Overview

07:49Members only

 3

Normality

07:36Members only

 4

Central Limit Theorem

07:25Members only

 5

The Z-Score

07:40Members only

 6

Creating Run Charts

04:56Members only

Current Video

1-Sample t-Test

06:34Members only

8

Next Video2 Variances Test

08:58Members only

 9

2 Sample t-Test

07:53Members only

 10

Paired t-Test

06:30Members only

 11

1-Proportion Test

04:49Members only

 12

2 Proportions Test

06:46Members only

 13

Chi Square Test

11:09Members only

 14

1 Sample Sign Test

03:59Members only

 15

Mann-Whitney Test

04:48Members only

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Next Video 2 Variances Test 

The 2‑variances test is a sta­tis­ti­cal hypoth­e­sis test used to com­pare the vari­ances, or stan­dard devi­a­tions squared, of two inde­pen­dent pop­u­la­tions or sam­ples. Learn the two assump­tions and the steps for con­duct­ing a 2‑variances test.