31. An investor believes there is a 90% chance that the price of a certain stock will increase in the next year. The investor’s prediction is based exclusively on intuition. What type of probability are they using?

  • Empirical
  • Objective
  • Subjective
  • Classical

32. 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?

  • 100%
  • 50%
  • 25%
  • 75%

33. Fill in the blank: To calculate posterior probability, a data professional can use _____ to update the prior probability based on the data.

  • Bayes’s theorem
  • the binomial distribution
  • the normal distribution
  • the complement rule

34. Which of the following are examples of continuous random variables? Select all that apply.

  • The time it takes for a person to run a race
  • The height of a redwood tree
  • The number of students in a math class
  • The weight of a polar bear

35. A data professional working for a smartphone manufacturer is analyzing sample data on the weight of a smartphone. The data follows a normal distribution, with a mean weight of 150g and a standard deviation of 10g. What data value lies at the center of the distribution curve?

  • 150g
  • 10g
  • 160g
  • 140g

36. A data professional might use the Python function stats.zscore() to help them do which of the following? Select all that apply.

  • Plot a histogram
  • Simulate taking a random sample of data
  • Compute z-scores for their data
  • Detect outliers in their data

37. Fill in the blank: The Python function _____ enables data professionals to compute z-scores for their data.

  • normal.zscore()
  • var()
  • describe()
  • stats.zscore()

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