1 Contents
2 Review
- 2.1 Review of Previous Part
3 Population & Sample
- 3.1 Sampling from the Population
- 3.2 Assumptions
4 Sampling: An Example
- 4.1 Assumptions
5 Sampling Theory: Using Random Sample
6 Sample Mean & Variance
7 Standard Error of Mean
8 Distribution of the Sample Mean
9 Central Limit Theorem
10 Confidence Interval: Concept
11 Confidence Interval: Summary
- 11.1 Interpretation
- 11.2 Calculation
12 Sampling Theory: Frequentist View
13 Hypothesis Testing: Concept
14 Hypothesis Testing: Example
- 14.1 One Large Sample
- 14.2 Assumptions
15 Hypothesis Testing: Steps
- 15.1 Steps of Hypothesis testing
16 Hypothesis Testing: Terminologies
17 Hypothesis Testing: Decision & Power
- 17.1 Truth & Decision
- 17.2 Statistical Power
18 Testing Mean: Known variance
19 Testing Mean - Known variance: Scenario 1
20 Testing Mean - Known variance: Scenario 2
21 Testing Mean: Unknown variance
22 Hypothesis Testing - Two Samples: Concept
23 Hypothesis Testing - Two Samples: Steps
- 23.1 Two Samples, Unknown Variance
- 23.2 Steps
24 Hypothesis Testing - Two Samples: t.test

Basic Statistics with R: Part 2

Basic Statistics with R: Part 2

Mintu Nath, University of Aberdeen

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