Descriptive and Inferential Statistics

Read these sections and complete the questions at the end of each section. Here, we introduce descriptive statistics using examples and discuss the difference between descriptive and inferential statistics. We also talk about samples and populations, explain how you can identify biased samples, and define differential statistics.

Descriptive Statistics


Question 1 out of 3.
Two basic divisions of statistics are

  • inferential and descriptive.
  • population and sample.
  • sampling and scaling.
  • mean and median.

Question 2 out of 3.
Check all that apply. Descriptive statistics

  • allow random assignment to experimental conditions.
  • use data from a sample to answer questions about a population.
  • summarize and describe data.
  • allow you to generalize beyond the data at hand.

Question 3 out of 3.
Which of the following are descriptive statistics?

  • The mean age of people in Detroit.
  • The number of people who watched the superbowl in the year 2002.
  • A prediction of next month's unemployment rate.
  • The median price of new homes sold in Miami.
  • The height of the tallest woman in the world.