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Module 5 challenge :The Power of Statistics (Google Advanced Data Analytics Professional Certificate) Answers 2025

1. Question 1 — Select all that apply

The null hypothesis is assumed to be true unless there is convincing evidence to the contrary.
The null hypothesis typically assumes that observed data occurs by chance.

❌ The null hypothesis is accepted only if there is convincing evidence
❌ The null hypothesis assumes observed data does NOT occur by chance


2. Question 2

Significance level

❌ P-value
❌ Alternative hypothesis
❌ Confidence interval


3. Question 3

P-value and significance level

❌ Alternative hypothesis + significance level
❌ P-value + alternative hypothesis
❌ Confidence level + significance level


4. Question 4 — Select all that apply

They have made an error known as a false negative.
They have failed to reject a null hypothesis, which is actually false.

❌ False positive
❌ Concluded result occurred by chance but was significant


5. Question 5

Select the sample data

❌ Reject/fail to reject
❌ Find the p-value
❌ Identify assumption


6. Question 6

p-value = 3.3% < 5%
➡ Reject H₀

Reject the null hypothesis.

❌ Fail to reject
❌ Reject alternative
❌ Fail to reject alternative


7. Question 7

Null: no difference between two population proportions →
Two-sample z-test

❌ Two-sample t-test
❌ One-sample z-test
❌ One-sample t-test


8. Question 8

Argument a=530 → data for first sample
Observations from the first sample

❌ Significance level
❌ Variance assumption
❌ P-value


9. Question 9

Group that gets current layout →
Control group

❌ Constant group
❌ Holdout group
❌ Treatment group


10. Question 10

Best way to avoid irrelevant factors →
Randomize group assignment

❌ No way to minimize
❌ Use age
❌ Self-select


🧾 Summary Table of All Answers

Q No. Correct Answer(s) Incorrect Options
1 Null assumed true unless evidence; Observed data occurs by chance Null accepted only with evidence; Null assumes data not by chance
2 Significance level P-value, Alternative hypothesis, Confidence interval
3 P-value and significance level Other comparisons
4 False negative; Failed to reject false null False positive; Concluded by chance but significant
5 Select the sample data Find p-value; Reject/fail to reject; Identify assumption
6 Reject the null hypothesis Fail to reject options; Reject alternative
7 Two-sample z-test Two-sample t-test, One-sample tests
8 Observations from first sample Significance level; Population variance; p-value
9 Control group Constant; Holdout; Treatment
10 Randomize group assignment Self-select; Age-based; No way to minimize