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Discrete Distribution (Lucky Dice Experiment) Quiz

12 questions math Grades 9-12

The question sheet

Reveal any answer as you study
  1. In the Lucky Dice experiment, what decides your profit?

    • The number of matches
    • The number of dice
    • The relative frequency
    • The mean profit
    Reveal answer

    Answer: The number of matches

    Source evidence

    PDF page 278: The number of matches will decide your profit.

  2. To how many decimal places should relative frequency and probability answers be rounded?

    • Two
    • Four
    • Five
    • Three
    Reveal answer

    Answer: Four

    Source evidence

    PDF page 278: Round answers to relative frequency and probability problems to four decimal places.

  3. What does the abbreviation RF stand for?

    • Regular frequency
    • Rounded fraction
    • Relative frequency
    • Random factor
    Reveal answer

    Answer: Relative frequency

    Source evidence

    PDF page 280: RF = relative frequency

  4. One learning outcome asks students to compare empirical data with a theoretical distribution to test if a game fits what?

    • A discrete distribution
    • A binomial model
    • A skewed shape
    • A normal curve
    Reveal answer

    Answer: A discrete distribution

    Source evidence

    PDF page 278: • The student will compare empirical data and a theoretical distribution to determine if a Tet gambling game fits a

    PDF page 278: discrete distribution.

  5. Which columns appear in the Organize the Data table (Table 4.18)?

    • x, y, mean, median
    • Frequency, mode, range
    • x, z-score, mean
    • x, y, Frequency, Relative Frequency
    Reveal answer

    Answer: x, y, Frequency, Relative Frequency

    Source evidence

    PDF page 279: x y Frequency Relative Frequency

  6. Using the Theoretical Distribution data, which probability is item 1?

    • P(x = 0)
    • P(x = 2)
    • P(x = 3)
    • P(x < 3)
    Reveal answer

    Answer: P(x = 3)

    Source evidence

    PDF page 280: 1. P(x = 3) = ________

  7. Which probability expression is item 2 of the theoretical calculations?

    • P(x = 3)
    • P(x ≥ 2)
    • P(0 < x < 3)
    • P(x = 0)
    Reveal answer

    Answer: P(0 < x < 3)

    Source evidence

    PDF page 280: 2. P(0 < x < 3) = ________

  8. The empirical profit questions ask about the average profit per game and whether it was:

    • A tie
    • A theoretical value
    • A win or loss per game
    • A relative frequency
    Reveal answer

    Answer: A win or loss per game

    Source evidence

    PDF page 279: a. What was the average profit per game?

    PDF page 279: b. Did this represent an average win or loss per game?

  9. The theoretical distribution section asks what about profit?

    • The median profit
    • The relative frequency
    • The z-score
    • The expected profit per game
    Reveal answer

    Answer: The expected profit per game

    Source evidence

    PDF page 280: a. What was the expected profit per game?

  10. Expected value is also called the:

    • Mode
    • Median
    • Range
    • Mean
    Reveal answer

    Answer: Mean

    Source evidence

    PDF page 282: expected value expected arithmetic average when an experiment is repeated many times; also called the mean; notations μ; for a discrete random variable (RV) with probability distribution function P(x),the definition can also be

  11. According to the law of large numbers, as trials increase, the gap between theoretical and relative frequency probability:

    • Stays fixed
    • Doubles
    • Grows larger
    • Approaches zero
    Reveal answer

    Answer: Approaches zero

    Source evidence

    PDF page 283: standard deviation of a probability distribution a number that measures how far the outcomes of a statistical experiment are from the mean of the distribution the law of large numbers as the number of trials in a probability experiment increases, the difference between the theoretical probability of an event and the relative frequency probability approaches zero

  12. What does the standard deviation of a probability distribution measure?

    • The most common outcome
    • The total number of trials
    • The sum of all outcomes
    • How far outcomes are from the mean
    Reveal answer

    Answer: How far outcomes are from the mean

    Source evidence

    PDF page 283: standard deviation of a probability distribution a number that measures how far the outcomes of a statistical experiment are from the mean of the distribution the law of large numbers as the number of trials in a probability experiment increases, the difference between the theoretical probability of an event and the relative frequency probability approaches zero

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