Module 3 challenge :The Power of Statistics (Google Advanced Data Analytics Professional Certificate) Answers 2025

1. Question 1

A _____ sample accurately reflects the characteristics of a population.
✅ representative
❌ very small
❌ biased
❌ nonrepresentative

2. Question 2

Stages in the typical sampling process:
✅ Identify the target population
✅ Select the sampling frame
❌ Make a point estimate
❌ Perform exploratory data analysis

3. Question 3

Statements describing probability sampling:
✅ Probability sampling can result in representative samples
✅ Probability sampling uses random selection
❌ Probability sampling is inexpensive/convenient
❌ Based on researcher preferences

4. Question 4

Sampling method:
✅ Systematic random sampling
❌ Stratified
❌ Cluster
❌ Simple random

5. Question 5

Sampling method used:
Instructor asking regular students
✅ Convenience sampling
❌ Snowball
❌ Voluntary response
❌ Purposive

6. Question 6

Statements describing a sampling distribution:
✅ Represents probability distribution of a statistic
✅ Mean & proportion distributions are examples
❌ Probability distribution of a population parameter
✅ Can be visualized with a histogram

7. Question 7

Central Limit Theorem:
✅ Sampling distribution of the mean → normal distribution
❌ Bernoulli
❌ Binomial
❌ Poisson

8. Question 8

sample(n=100, …)
Sample size:
✅ 100
❌ 10
❌ 23
❌ 230

9. Question 9

Why sampling is used:
✅ Impossible/impractical to collect full population data
✅ Smaller datasets easier & faster
✅ Easier, faster, efficient to collect sample data
✅ Saves money & resources

(All options correct)

10. Question 10

When is sampling appropriate?
✅ Measuring average cholesterol level of adults in a country
❌ Measuring heights of students in one small classroom
✅ Determining favorite beverage in a large university
❌ Determining exact sales of one store

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