PREV

• Lecture 1 & 2 (Frequency Distribution)
• Lecture 3, 4 & 5(Histograms, Frequency Polygons and Ogives, Other Types of Graphs)
• Lecture 6(Measures of Central Tendency)
• Lecture 7 & 8(Measures of Variation)
• Lecture 9(Measures of Position)
• Lecture 10, 11 & 12(Sample Spaces, Probability & Probability Rules)
• Lecture 13(Counting Rules)
• Lecture 14 & 15(Discrete Probability Distributions)
• Lecture 16(The Binomial Distribution)
• Lecture 17 & 18(Normal Distributions and its Application)
• Lecture 19(The Central Limit Theorem)
• Lecture 20 & 21(Confidence Intervals for the Mean When sigma Is Known
• Lecture 22(Confidence Intervals for the Mean When sigma Is Unknown)
• Lecture 23(Confidence Intervals for Variances and Standard Deviations)
• Lecture 24 & 25(Hypothesis Testing)
• Lecture 26(z Test for a Mean)
• Lecture 27(t Test for a Mean)
• Lecture 28 & 29(Chi-Square Test for a Variance or Standard Deviation)
• Lecture 30 & 31(Correlation and Regression)
• Lecture 32(F Test, Analysis of Variance)