Course Content
Methods of Describing
0/4
Introduction to Statistics
00:00
Graphical Descriptive Technique
00:00
Measures of Central Tendency
00:00
Measures of Dispersion
00:00
Probability
0/3
Approaches to Probability
00:00
Rules of Probability
00:00
Principles of Counting
00:00
Probability Distribution
0/4
Random Variable
00:00
Mean
00:00
Variance and Standard Deviation
00:00
Discrete Probability Distributions
00:00
Sampling Distribution
0/3
Probability Sampling Methods
00:00
Sampling Distribution of the Mean
00:00
Central Limit Theorem
00:00
Estimation of Mean & Confidence Intervals
0/5
Concepts of Estimation
00:00
Large Sample Estimation of Population Mean
00:00
Small Sample Estimation of Population Mean
00:00
Estimation of Population Proportion
00:00
Finite-Population Correction Factor
00:00
Hypothesis Testing
0/9
Concepts of Hypothesis Testing
00:00
Testing for a Population Mean with a Known Population Standard Deviation
00:00
The p-Value of a Hypothesis Test
00:00
Testing for a Population Mean: Large Sample with Unknown Population Standard Deviation
00:00
Testing for a Population Mean: Small Sample with Unknown Population Standard Deviation
00:00
Test of Hypothesis for a Population Proportion
00:00
Test of Difference Between Two Means (Independent Samples: Large and Small Sample)
00:00
Test of Difference Between Two Means (Paired Experiment)
00:00
Test of Difference Between Two Proportions
00:00
ANOVA
0/6
The F Distribution
00:00
Comparing Two Population Variances
00:00
Assumptions of ANOVA
00:00
ANOVA test (One-Way)
00:00
Inference About Pairs of Treatment Means
00:00
Interpretation of ANOVA Statistical OutputLesson
00:00
Dispersion
Data Presentation / Measure of Central Tendency
Correlation & Regression
Statistics for Social Science
Exercise Files
UNIT 1 – Methods of Describing Data.pdf.pdf
Size: 255.35 KB
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