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Module 4 challenge:The Power of Statistics (Google Advanced Data Analytics Professional Certificate) Answers 2025

1. Question 1

What would a data professional use to estimate a population parameter using a range of values?

✔️ Interval estimate
❌ Z-score
❌ Point estimate
❌ Sampling frame

2. Question 2

Age estimate expected to vary from actual age → describes?

✔️ Evaluating margin of error
❌ Choosing a sampling distribution
❌ Constructing a confidence level
❌ Defining a sample statistic

3. Question 3

95% confidence means?

✔️ The success rate of the estimation process
❌ The percentage of all possible sample means within interval
❌ The percentage of data values
❌ The margin of error

4. Question 4

Activities in constructing CI for proportion (Select all)

✔️ Find the margin of error
✔️ Calculate the interval
✔️ Choose a confidence level
❌ Plot a histogram

5. Question 5

As sample size increases, what happens?

✔️ The margin of error decreases
❌ The population parameter gets larger
❌ The margin of error increases
❌ The confidence interval gets wider

6. Question 6

Choosing 99% confidence level in scipy.stats.norm.interval():

✔️ alpha = 0.99
❌ std = 0.99
❌ scale = 0.99
❌ loc = 0.99

7. Question 7

For small sample sizes use:

✔️ t-distribution
❌ normal distribution
❌ z-distribution
❌ s-distribution

8. Question 8

Correct statements about t-distribution (Select all)

✔️ As sample size increases, the t-distribution approaches the normal distribution
✔️ It has larger tails than the standard normal distribution
❌ As sample size decreases, t → normal
❌ It has smaller tails

9. Question 9

As confidence interval contracts, confidence level:

✔️ It would decrease
❌ It would increase
❌ It would stay the same
❌ No relationship

10. Question 10

Why is the interpretation incorrect?

✔️ Because it implies the population mean is a random variable, but it is a fixed parameter
❌ CI pertains to sample mean
❌ 95% of observations fall between 3 and 5
❌ CI doesn’t refer to population mean

  • 🧾 Summary Table of All Answers

    Q No. Correct Answer(s) Incorrect Options
    1 representative very small, biased, nonrepresentative
    2 Identify the target population; Select the sampling frame Make a point estimate; Perform exploratory data analysis
    3 Probability sampling can result in representative samples; Probability sampling uses random selection Probability sampling is inexpensive; Based on researcher preference
    4 Systematic random sampling Stratified random, Cluster random, Simple random
    5 Convenience sampling Snowball, Voluntary response, Purposive
    6 Represents probability distribution of a statistic; Mean & proportion examples; Can be visualized with histogram Probability distribution of a population parameter
    7 Approaches a normal distribution Bernoulli, Binomial, Poisson
    8 100 10, 23, 230
    9 All options are correct —
    10 Measuring cholesterol of adults; Favorite beverage in large university Measuring heights in one classroom; Exact sales of one store