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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