| 001 Introduction.mp4 | 167.4 MB | ||
| 001 paired t tests.mp4 | 144.9 MB | ||
| 001 t test_ 1 sample.mp4 | 569.6 MB | ||
| 001 z test for 2 samples.mp4 | 310.2 MB | ||
| 001 z test of proportions.mp4 | 191.6 MB | ||
| 001 z tests_one tailed.mp4 | 152.1 MB | ||
| 002 Introduction.mp4 | 274.4 MB | ||
| 002 t test _ 2 samples.mp4 | 86.9 MB | ||
| 002 z test of proportions_ 2 samples.mp4 | 153.5 MB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B |
Tests of Hypothesis: z test and t-test
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 9 lectures (1h 44m) | Size: 2 GB
One Sample and Two Sample Tests
What you'll learn:
Hypothesis testing in Research Methodology
Requirements
No
Description
Introduction
Hypothesis is an assumption which needs to be proved and once proved then it becomes a fact. For example, you might want to check the effectivity of a training program on the employees and you can apply t test for 2 samples or paired t test to test the effectivity. When you are evaluating a hypothesis, you need to account for both the variability in your sample and how large your sample is. Based on this information, you'd like to make an assessment of whether any differences you see are meaningful, or if they are likely just due to chance. This is formally done through a process called hypothesis testing. There are 2 important tests in Hypothesis testing : z test and t test and this course gives a great insights on both z test and t test. Lets discuss them briefly:
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