statistics Notes - VideoAndMovie

Chi - square test for variance, eg. problem (population mean μ is unknown)

6:45

Chi - square test for variance, eg. problem (population mean μ is unknown)

Chi - square test for variance, eg. problem (population mean μ is known)

12:52

Chi - square test for variance, eg. problem (population mean μ is known)

Test for variance ( population mean is unknown)

4:11

Test for variance ( population mean is unknown)

Spearmans' rank correlation coefficient

9:09

Spearmans' rank correlation coefficient

chi- square test for variances (mean is unknown)

12:17

chi- square test for variances (mean is unknown)

Paired t test

11:41

Paired t test

Correlation simplified formula

13:00

Correlation simplified formula

Index numbers IV

15:43

Index numbers IV

Index numbers III

7:04

Index numbers III

Index numbers II

8:25

Index numbers II

Index numbers I

9:17

Index numbers I

Snedecor's F distribution

10:10

Snedecor's F distribution

Example for student t distribution

13:04

Example for student t distribution

Correlation problem

11:40

Correlation problem

Introduction to Karl Pearson's Coefficient of Correlation

9:45

Introduction to Karl Pearson's Coefficient of Correlation

Example for t test

7:34

Example for t test

Distribution following t statistic

12:16

Distribution following t statistic

Introduction to t test

6:25

Introduction to t test

Scatter diagram II

8:06

Scatter diagram II

Index numbers

7:56

Index numbers

Scatter diagram I

10:53

Scatter diagram I

Introduction to bivariate data

11:26

Introduction to bivariate data

Z test

7:53

Z test

z test problem 1 (2 means)

6:16

z test problem 1 (2 means)

Z test for e quality of two population means. ( equal and unequal population variances)

9:50

Z test for e quality of two population means. ( equal and unequal population variances)

Omicron Special

3:28

Omicron Special

Pareto Distribution and Cauchy Distribution

9:27

Pareto Distribution and Cauchy Distribution

Log Normal Distribution

13:03

Log Normal Distribution

Data classification- Individual and grouped frequency

8:39

Data classification- Individual and grouped frequency

Data and Data Classification

9:20

Data and Data Classification