traditional method, P-value method, and non-confidence interval method

classical method, P-value method, and confidence interval method

traditional method, modern method, and confidence interval method

traditional method, P-value method, and confidence interval method

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

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

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

z test to get 4 methods, 2 degrees of freedom and n-1 number of samples

Chi-squared test to get 4 methods, 2 degrees of freedom and n-1 number of samples

normal distribution get z-value

R to get 1 - β

Orange to get (β)

Tests on Two Means

R to get (β)

z test to get 4 methods, 2 degrees of freedom and n-1 number of samples

R to get alpha

Tests on Two Means

Chi-squared test to get 4 methods, 2 degrees of freedom and n-1 number of samples

Orange to get (β)

normal distribution get z-value

R to get beta (β)

degree of freedom of the numerator in F table for normal distribution

degree normality of the denominator in F table for Anova

degree of freedom of the numerator in F table for Chi-squared distribution

degree of freedom of the denominator in F table for Anova

degree of freedom of the numerator in F table for Anova

get lower f(calc) to reject H(alternative)

Reject H(null) and accept H(alternative)

Accept H(null) and reject H(alternative)

calculate w for Tukey validation

get higher f(calc) to reject H(alternative)

degree of freedom of the numerator in F table for Anova

degree of freedom of the numerator in F table for normal distribution

degree of freedom of the numerator in F table for Chi-squared distribution

degree normality of the denominator in F table for Anova

degree of freedom of the denominator in F table for Anova

normal distribution

student T test

Tests on Two Means

Anova

Chi-squared test

z test

none of the other answers are correct

proportions

standard deviations

means

normal distribution get z-value

variances

R to get beta (β)

the target value for a certain value beta

the F- of the table value

the target value for a certain value alpha

using R to get beta (β)