the power of statistics coursera weekly challenge 1 answers

Test your knowledge: The role of statistics in data science

1. A data professional is analyzing real estate data. To estimate the mean rent of all the apartments in a large city, they calculate the mean rent of a random sample of 100 apartments. Which of the following best describes this statistical method?

  • A/B testing
  • Descriptive statistics
  • Inferential statistics
  • Data cleaning

2. In statistics, a population can only include people.

  • True
  • False

3. The mean weight of an entire population of elephants is an example of which of the following concepts?

  • Data visualization
  • Statistic
  • Parameter
  • Measure of dispersion

Test your knowledge: Descriptive statistics

4. A data professional is analyzing sales data for an online store. The most frequently occurring value in the dataset is $150. What term is used to describe this value?

  • Interquartile range
  • Median
  • Mode
  • Variance

5. What do measures of dispersion represent?

  • The center of a dataset
  • The spread of a dataset
  • The total number of values in a dataset
  • The relative position of the values in a dataset

6. Which of the following descriptive statistics are measures of position? Select all that apply.

  • Standard deviation
  • Percentile
  • Quartile
  • Mean

Test your knowledge: Calculate statistics with Python

7. What Python function can data professionals use to compute the mean, median, and standard deviation all at once?

  • mean()
  • describe()
  • std()
  • median()

8. What two Python functions can you use to compute the range of your dataset?

  • max() and std()
  • max() and min()
  • mean() and min()
  • max() and median()

Weekly challenge 1

9. Which of the following concepts refer to descriptive statistics? Select all that apply.

  • Measures of central tendency
  • Measures of dispersion
  • Measures of position
  • Measures of inference

10. Which of the following are examples of a statistical population? Select all that apply.

  • A random selection of 100 registered voters in a nation
  • All the electric cars produced by an auto manufacturer
  • All the registered voters in a nation
  • A random selection of 100 electric cars produced by an auto manufacturer

11. Fill in the blank: The median is the _____ value in a dataset.

  • middle
  • average
  • minimum
  • maximum

12. A data professional is working with the following dataset: 2, 2, 4, 7, 10. What is the mean of the dataset?

  • 10
  • 2
  • 5
  • 4

13. What concept best describes the standard deviation, variance, and range?

  • Measures of central tendency
  • Measures of dispersion
  • Measures of position
  • Measures of frequency

14. A data professional is working with sales data. They want to measure the spread of their values from the mean of the dataset. What descriptive statistic do they use?

  • Mode
  • Median
  • Standard deviation
  • Quartile

15. A data professional is analyzing data about annual work income in dollars. They divide the data into quartiles: Q1 = $40,000, Q2 = $55,000, Q3 = $70,000. What is the interquartile range, or IQR, of their dataset?

  • $40,000
  • $15,000
  • $55,000
  • $30,000

16. A data professional is analyzing data about the employees of a corporation. They want to compute the average age of all employees in the dataset. What Python functions can they use? Select all that apply.

  • describe()
  • std()
  • mean()
  • max()

17. A data professional might use descriptive statistics to do which of the following? Select all that apply.

  • Measure the center of a dataset
  • Summarize the main features of a dataset
  • Measure the spread of a dataset
  • Collect a random sample of data from a population

18. What concept refers to a subset of data drawn from a larger population?

  • Sample
  • Variance
  • Parameter
  • Statistic

19. Fill in the blank: Measures of dispersion represent the _____ of a dataset.

  • maximum value
  • center
  • spread
  • minimum value

20. A data professional is analyzing weather data. Their dataset includes daily rainfall in inches for the previous five days: 1, 2.4, 3.2, 5, 2.8. What is the range of their dataset?

  • 4
  • 2.4
  • 3.2
  • 5

21. A data professional is analyzing data about annual work income in dollars. They divide the data into quartiles: Q1 = $40,000, Q2 = $55,000, Q3 = $70,000. What value is the 50th percentile of their dataset?

  • $55,000
  • $40,000
  • $70,000
  • $30,000

22. If you apply the describe() function to numerical data, the results will include which of the following descriptive statistics?

  • Median
  • Range
  • Mean
  • Standard deviation

23. A data professional is analyzing data for an appliance manufacturer. As part of their analysis, they calculate the mean weight of a random sample of 100 microwaves. What concept best describes this value?

  • Statistic
  • Measure of dispersion
  • Population
  • Parameter

24. A data professional is analyzing data for an online store. They want to calculate the average time customers spend on the store’s website. What descriptive statistic do they use?

  • Mean
  • Mode
  • Range
  • Standard deviation

25. A data professional is working with the following dataset: 2, 2, 4, 7, 10. What is the median of the dataset?

  • 4
  • 5
  • 7
  • 2

26. Fill in the blank: Standard deviation measures how spread out your values are from the _____ of your dataset.

  • mean
  • mode
  • median
  • range

27. A data professional is analyzing data about annual work income in dollars. They divide the data into quartiles: Q1 = $40,000, Q2 = $55,000, Q3 = $70,000. What percentage of the values in their dataset are above $70,000?

  • 25%
  • 5%
  • 50%
  • 75%

28. If you apply the describe() function to categorical data, the results will include which of the following descriptive statistics?

  • Standard deviation
  • Mean
  • Mode
  • Median

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