AB-testing

Question 1

Name the 2 Hypothesis

Answer 1

null hypothesis and alternative hypothesis

Question 2

μ and P is

Answer 2

test statistic (θ)

Question 3

Type 1 error rate i quantified by

Answer 3

significance level also called alpha

Question 4

significance level is…

Answer 4

the probability of rejecting
null hypothesis when its actually true.

Question 5

The test statistic depends on…

Answer 5

the kind of test being done: for example, a t-test, a Chi-square test, or an F-test.

Question 6

test statistic

Answer 6

Z Score=ztest
T Score = T Test
F=ANOVA
Chi-Square Statistic (x2)=Chi-Square test

Question 7

μ (mu) and 𝑝 can be called?

Answer 7

parameters (θ)

Question 8

Type I error

Answer 8

The type of error where you reject 𝐻0 when it is true is called a type I error (read: “type one error”) or a false positive.

Question 9

Type II Error

Answer 9

Similarly, the type of error where you fail to reject 𝐻0 when it is false is called a type II error (read: “type two error”) or a false negative.

Question 10

A one-sided test the H0 is?

Answer 10

H0:θ≤0