Exam 6: Probability and Hypothesis Testing

A) The sum of probabilities of all possible outcomes of an event equals 1.0.
B) All possible outcomes have the exact same probability of occurring.
C) Each outcome has a 50% chance of occurring.
D) Combined probabilities of events that occur at the same time is equal to 1.0.

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A) reject; rejection; p > .05
B) do not reject; rejection; p > .05
C) reject; rejection; p < .05
D) reject; non-rejection; p > .05

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A) The null hypothesis (H₀)
B) A critical value
C) Alpha
D) A population parameter such as μ

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A) the probability of accepting the null hypothesis
B) the probability of a statistic needed to reject the null hypothesis
C) the minimum value of a statistic needed to reject the null hypothesis
D) an example of a population parameter

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A) What is the probability of getting a score greater than the mean?
B) Is there life on Mars?
C) The probability of an outcome is a number between 0 and 1.
D) In rolling a pair of dice, is there an equal probability of rolling an 8 versus a 9?

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A) less; directional
B) equally; non-directional
C) more; non-directional
D) more; directional

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A) values of the statistic with a high probability of occurring
B) the region of rejection
C) the region of non-rejection
D) the null hypothesis

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A) can occur; results
B) is collected; numbers
C) takes place; results
D) can occur; numbers

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A) Which grocery store checkout line should I get in?
B) What are my chances of getting a parking ticket?
C) What are the chances of Barack Obama being elected president?
D) What is the likelihood one of the California professional football teams will win the Super Bowl?

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A) What is the likelihood of getting hit by lightning?
B) Who will be the next President of the United States?
C) What is the probability of getting a score at least 10 points above the mean?
D) In rolling a pair of dice, is there an equal probability of rolling an 8 rather than a 9?

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A) consisting of exactly two categories
B) consisting of only one category
C) consisting of three categories
D) that has zero categories

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A) values of the statistic with a low probability of occurring
B) the region of non-rejection
C) the symmetry of the distribution
D) 95% of the distribution

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A) the region of non-acceptance
B) the difference between a statistic (such as ) and a population parameter (such as μ)
C) the probability of a statistic needed to reject the null hypothesis
D) the likelihood of proving your research hypothesis is false

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A) may occur
B) is tested
C) is an outcome
D) takes place

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A) the probability of accepting the null hypothesis
B) an example of a population parameter
C) the critical value of a statistic
D) the probability of a statistic needed to reject the null hypothesis

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A) age (over 65 or under 65)
B) gender (male or female)
C) jury verdict (guilty or not guilty
D) religion (Catholic, Protestant, Buddhist, etc.) .

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A) testing research hypotheses
B) examining one's data
C) developing research hypotheses
D) reviewing the existing literature on the topic of interest

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