Download Introduction to Chance Models (Section 1.1) Introduction A key step

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Assessment examples from Chapter 1
Sample quiz #1
1. Which definition of a p-value is the most accurate?
a. If the alternative hypothesis is true, the p-value is the probability of observing an
outcome as extreme or more extreme than the one actually observed in the study
b. The p-value is the probability that the alternative hypothesis is true
c. If the null hypothesis is true, the p-value is the probability of observing an
outcome as extreme or more extreme than the one actually observed in the study
d. The p-value is the probability that the null hypothesis is true
Circle TRUE or FALSE each of the following (#2 through #5)
2. A p-value can be negative
TRUE
FALSE
3. A standardized statistic can be negative
TRUE
FALSE
4. We run tests of significance to determine whether 𝑝̂ is larger or smaller than some value.
TRUE
FALSE
5. We run tests of significance to determine whether  is larger or smaller than some value.
TRUE
FALSE
6. Dwayne Wade of the Miami Heat hit 569 of his 1093 field goal attempts in the 2012/2013
season for a shooting percentage of 52.1%. Over the lifetime of Dwayne’s career, can
we say that Dwayne is more likely than not to make a field goal?
a. Is the long-run probability of Dwayne making a field goal a parameter or a
statistic?
b. Is 52.1% a parameter or a statistic?
c. When simulating possible outcomes assuming the chance model, how many
times would you flip a coin for one repetition of the 2012/2013 season?
d. With each repetition, what would you keep track of?
e. What would be a typical value from a single repetition?
June 27, 2014
MAA PREP workshop
40