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()

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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
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