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Inferential Statistics

1 Sample Sign Test

A 1‑Sample Sign Test is a non-para­met­ric test we use to make infer­ences about a pop­u­la­tion medi­an based on data from a ran­dom sam­ple. Learn when to use the 1‑sample sign test, its assump­tions, and the steps to per­form­ing the 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

 7

1-Sample t-Test

06:34Members only

 8

2 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

Current Video

1 Sample Sign Test

03:59Members only

15

Next VideoMann-Whitney Test

04:48Members only

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Next Video Mann-Whitney Test 

The Mann-Whit­ney Test is a non-para­met­ric alter­na­tive to the 2‑Sample t‑Test and is used to make infer­ences about two dif­fer­ent pop­u­la­tion medi­ans based on data from two ran­dom sam­ples. Learn the assump­tions and steps to per­form­ing this test.