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 |