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Inferential Statistics Overview and Sampling
Inferential Statistics is a set of techniques for drawing inferences, which include predictions, generalizations, conclusions, or decisions about a population. This relies on information and data obtained from random samples of the population. Learn the common sampling methods and their importance in inferential statistics.
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Inferential Statistics Overview and Sampling
05:25
Next VideoHypothesis Testing Overview
07:49
3Normality
07:36
4Central Limit Theorem
07:25
5The Z-Score
07:40
6Creating Run Charts
04:56
71-Sample t-Test
06:34
82 Variances Test
08:58
92 Sample t-Test
07:53
10Paired t-Test
06:30
111-Proportion Test
04:49
122 Proportions Test
06:46
13Chi Square Test
11:09
141 Sample Sign Test
03:59
15Mann-Whitney Test
04:48
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Next Video Hypothesis Testing Overview
Hypothesis Testing is a statistical method that helps us make decisions and conclusions about the overall population using sample data. Learn how we can apply concepts including statistical significance, p‑value, alpha, null hypothesis, alternate hypothesis, and more.