05:41

INTERSTAT Chap. 4-6 (1-a)100% confidence interval for variance

10:18

INTERSTAT Chap. 4-6 (1-a)100% confidence interval for proportion

07:35

INTERSTAT Chap.4-5 Definition of t-distribution

08:00

INTERSTAT Chap. 4-4 (1-a)100% confidence interval for the population mean

08:14

INTERSTAT Chap.4-3 Interval estimation - confidence level

09:42

INTERSTAT Chap.4-2 Point estimation

14:19

INTERSTAT Chap.4-1 Desirable properties of estimator

08:33

INTERSTAT Chap. 3-7 Sampling methods

09:21

INTERSTAT Chap. 3-6 distribution of sample variance

03:04

Intermediate Statistics

11:20

INTERSTAT Chap.3-5 Normal approximation to the binomial distribution

08:13

INTERSTAT Chap.3-4 Distribution of sample proportions

10:16

INTERSTAT Chap.3-3 Central Limit Theorem

09:40

INTERSTAT Chap.3-2 sampling distribution of sample means

09:00

INTERSTAT Chap.3-1 Theoretical thinking of Sample

08:21

INTERSTAT Chap.2-12 Expectation for two random variables

10:35

INTERSTAT Chap.2-11 precaution of correlation coefficient

10:29

INTERSTAT Chap. 2-10 independence of X and Y and correlation coefficient

15:16

INTERSTAT Chapter 2-9 joint probability distribution function

08:54

INTERSTAT Chapter 2-8 cumulative distribution

11:42

INTERSTAT Chapter2-7 general use of standardization

10:24

INTERSTAT Chapter2-6 normal distribution

08:37

INTERSTAT Chapter2-5-2 Binomial distribution

09:16

INTERSTAT Chapter2-5-1 Bernoulli distribution

09:13

INTERSTAT Chap.2-4 expectation

12:49

INTERSTAT Chap.2-3 random variable and its probability distribution function

12:40

INTERSTAT Chap.2-2 marginal prob. and conditional prob.

12:02

INTERSTAT Chap.2-1 sample space and probability

07:33

INTERSTAT Chap.1-4 histogram, frequency curve

10:36

INTERSTAT Chap.1-3 variance, degrees of freedom, skewness

10:38

INTERSTAT Chap.1-2 representative value

12:44

INTERSTAT Chap.1-1 Population vs. Sample

08:59

PRINSTAT Chapter5-6 Important consideration in test hypothesis

06:19

PRINSTAT Chapter5-5 Significance probability - p value

09:13

PRINSTAT Chapter5-4-2 Hypothesis test for mean(conti.)

10:30

PRINSTAT Chapter5-4 Hypothesis test of mean

08:01

PRINSTAT Chapter5-3 significance level

12:01

PRINSTAT Chapter5-2 Test statistic and the rejection region of the null hypothesis.

06:02

PRINSTAT Chapter5-1 Null hypothesis vs. Alternative hypothesis

08:46

PRINSTAT Chapter4-5-2 t-distribution table

08:15

PRINSTAT Chapter4-5 t-distribution

07:56

PRINSTAT Chapter4-4 (1-a)100% confidence interval for the population mean.

08:58

PRINSTAT Chapter4-3 Interval estimation

09:16

PRINSTAT Chapter4-2 Point estimation-revised

10:08

PRINSTAT Chapter4-1 What is estimation?

06:21

PRINSTAT Chapter3-5 Distribution of sample proportion

09:31

PRINSTAT Chapter3-4 Central Limit Theorem

08:58

PRINSTAT Chapter3-3 Sampling distribution of sample means.

09:24

PRINSTAT Chapter3-2 Parameter and Statistic

07:34

PRINSTAT Chapter3-1 Sample(theoretical understanding)

09:47

PRINSTAT Chapter2-9 General use of standardization

13:17

PRINSTAT Chapter2-8-2 Normal distribution(cont.)-revised

08:00

PRINSTAT Chapter2-8 Normal distribution

07:22

PRINSTAT Chapter2-7 Binomial distribution

07:41

PRINSTAT Chapter2-6 Bernoulli distribution

08:24

PRINSTAT Chapter2-5-2 Expectation(cont.)

09:38

PRINSTAT Chapter2-5 Expectation

09:39

PRINSTAT Chapter2-3 Classification of X and definition of f(x)(revised)

12:44

PRINSTAT Chapter2-2 Random variable and its probability distribution(revised)

11:44

PRINSTAT Chapter2-1 Sample space and probability