Module 2 challenge :The Power of Statistics (Google Advanced Data Analytics Professional Certificate) Answers 2025

1. Question 1

A data team at a household goods retailer is asked to predict the success of an upcoming sale on patio furniture. To make an informed prediction, they use statistics to analyze data on past patio furniture sales. What type of probability are they using?

✔ Objective
❌ Subjective
❌ Dependent
❌ Independent

2. Question 2

A jar contains four marbles: Two marbles are red, one is green, and one is blue. One marble is taken from the jar. What is the probability that the marble is blue?

✔ 25%
❌ 50%
❌ 75%
❌ 100%

3. Question 3

A coin is tossed twice. To calculate the probability of getting two heads in a row, which equation should be used?

✔ ½ * ½
❌ ½ ÷ ½
❌ ½ + ½
❌ ½ – ½

4. Question 4

Which of the following events are mutually exclusive?

✔ Getting heads and tails on the same coin toss
✔ Getting a 4 and a 6 on the same die roll
❌ Getting a 4 on a first die roll and a 6 on a second die roll
❌ Getting heads on a first coin toss and tails on a second coin toss

5. Question 5

What concept refers to the probability of an event occurring given that another event has already occurred?

✔ Conditional probability
❌ Classical probability
❌ Empirical probability
❌ Subjective probability

6. Question 6

Which of the following are discrete random variables?

✔ The number of radios produced in a factory each day
❌ The time it takes to drive from one city to another
❌ The length of an airplane
✔ The number of rooms in a hotel

7. Question 7

What probability distribution models the probability of getting a certain number of defective products in 15 products?

✔ Binomial distribution
❌ Poisson distribution
❌ Normal distribution
❌ Standard normal distribution

8. Question 8

Normal distribution with mean 150g and SD 10g.
What % lies between 140g and 160g?

✔ 68%
❌ 95%
❌ 99.7%
❌ 50%

9. Question 9

If a data value has a z-score of 0, what does the value equal?

✔ The mean
❌ The standard deviation
❌ The median
❌ The mode

10. Question 10

What Python function can compute z-scores?

✔ stats.zscore()
❌ describe()
❌ median.zscore()
❌ mean.zscore()

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