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Introduction to Statistical Analysis
Introduction to Statistics, Qualitive and Quantitative data
Statistics and Data (6:07)
Qualitative data (5:25)
Quantitative data (9:03)
Normal Distribution and Central Limit Theorem
Cental Limit Theorem (13:31)
Bay Inference (4:52)
Normal distribution (8:31)
Binomial Distributions (7:47)
Poissons Distributions (7:04)
Confidence Interval and Hypothesis
Confidence Interval (12:49)
One Tailed vs Two Tailed (4:53)
Significance Value P-Value (3:11)
Type i and Type ii Error (4:55)
Statistical Power (2:29)
Null and Alternative Hypothesis (3:45)
Probability
Introduction to probability (6:57)
Imp conc Event set subset samplespace (5:17)
Important concepts intersection union complement (7:14)
Disjoint, Non-disjoint and independent event (8:39)
Conditional probability (4:06)
Sample and Population
Sample Population (8:01)
Sampling Techniques (11:34)
Measures of Central Tendency (16:15)
Measures of Dispersion (21:23)
T test, Anova and Chi Squared test
DF and T Distribution (6:04)
F Distribution (2:55)
One Sample T Test (5:29)
One Way Anova (15:45)
Independent Sample T Test (6:25)
Two Anova (4:01)
Paired Sample T Test (5:09)
Chi-Square Test (8:29)
Contingency Table (7:52)
Pearsons Correlation Coefficient (8:48)
Visualization
Bar plot (4:30)
Pie Chart (2:32)
Histogram (3:31)
Box whisker plot (2:51)
Scatter plot (2:25)
Graphs hands on (7:05)
Imp conc Event set subset samplespace
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