Starting a new Lecture Notes Series on Inferential statistics | Probability and Statistics | Khan Academy
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Inferential statistics | Probability and Statistics | Khan Academy
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Daily Notes Writer Profile: SHASHIKUMAR TJ
Lecture 1: Hypothesis testing and p-values
Lecture 2: Sampling distribution example problem
Lecture 3: Large sample proportion hypothesis testing
Lecture 4: Pearson's chi square test (goodness of fit)
Lecture 6: Z-statistics vs. T-statistics
Lecture 8: Small sample hypothesis testn
Lecture 10: Type 1 errors
Lecture 11: Sampling distribution of the sample mean
Lecture 12: Standard error of the mean
Lecture 13: Central limit theorem
Lecture 14: Small sample size confidence intervals
Lecture 15: Comparing population proportions 2
Lecture 16: Hypothesis test for difference of means
Lecture 17: Sampling distribution of the sample mean 2
Lecture 20: Margin of error 1
Lecture 21: Confidence interval example
Lecture 22: Difference of sample means distribution
Lecture 23: ck12.org normal distribution problems: z-score
Lecture 24: ANOVA 3: Hypothesis test with F-statistic
Lecture 25: Margin of error 2 | Inferential statistics
Lecture 26: Comparing population proportions 1
Lecture 27: Chi-square distribution introduction
Lecture 28: Hypothesis test comparing population proportions
Lecture 29: T-statistic confidence interval
Lecture 30: Introduction to the normal distribution
Lecture 31: Contingency table chi-square test
Lecture 32: Confidence interval of difference of means
Lecture 35: One-tailed and two-tailed tests
Lecture 36: Variance of differences of random variables
Lecture 39: Normal distribution excel exercise
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