5.12 and 5.63

5.23 and 5.52

5.13 and 11.13

5.00 and 10.5

3.75 and 11.13

4.30 and 8.60

5.13 and 5.62

3.75 and 8.13

3.85 and 11.23

3.73 and 11.10

5.63 and 5.13

0.0654

0.0465

0.546

0.0535

0.083

0.109

0.35

0.093

0.095

0.548

0.349

While actually the course is ineffective BUT says Ha is effective

While actually the course is ineffective BUT says H0 is effective

While actually the course is effective BUT says H0 is effective

While the course is actually ineffective is type I error

there is no difference between a parameter | a specific value | that there is no difference between three parameters

traditional method | P-value method | non-confidence interval method

there is a difference between parameters | al least two specific values | that there is no difference between three parameters

there is NO difference between a parameter | a specific value, | states that there is a difference between two parameters

there is a difference between a parameter | a specific value | that there is no difference between two parameters

the existence of a difference between a parameter | a specific value, | states that there is a difference between two parameters

Student T

z

traditional

normal distribution

chi-square

formulates a plan | correct statistical test | chooses an appropriate level of significance | design the study

Error type 1 | Error type 2 | H1 is correct equals to true | H1 is incorrect equals to true

design the study | correct statistical test | chooses an appropriate level of significance | formulates a plan

choose an appropriate level of significance | design the study | correct statistical test | formulates a plan

design the study | correct statistical test | chooses an appropriate level of significance | formulates a plan for normal distribution

design the study | correct statistical test | chooses an appropriate level of significance | formulates a plan for z distribution

Error type 1 | Error type 2 | H0 is correct equals to true | H0 is incorrect equals to true

set of data | set of data | alternative hypothesis | research hypothesis

claim | claim | alternative hypothesis | prediction hypothesis

model | model | alternative hypothesis | research hypothesis

claim | claim | alternative hypothesis | research hypothesis

claim | claim | null hypothesis | research hypothesis

claim | claim | alternative hypothesis | traditional hypothesis

claim | claim | normal hypothesis | research hypothesis

type I error | (beta) | P(type I error) equals to beta

type II error | (beta) | P(type II error) equals to 1-alpha

type III error | (alpha) | P(type II error) equals to alpha + beta

type II error | (alpha) | P(type II error) equals to alpha

traditional method | P-value method | non-confidence interval method

there is no difference between a parameter | a specific value | that there is no difference between three parameters

there is a difference between parameters | al least two specific values | that there is no difference between three parameters

classical method | P-value method | confidence interval method

there is a difference between a parameter | a specific value | that there is no difference between two parameters

there is no difference between a parameter | a specific value | that there is no difference between two parameters

traditional method | P-value method | non-confidence interval method

there is no difference between a parameter | a specific value | that there is no difference between three parameters

there is a difference between parameters | al least two specific values | that there is no difference between three parameters

there is NO difference between a parameter | a specific value, | states that there is a difference between two parameters

there is a difference between a parameter | a specific value | that there is no difference between two parameters

the existence of a difference between a parameter | a specific value, | states that there is a difference between two parameters