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Introduction To Business Statistics 7th Edition By Ronald Weiers-Test Bank

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  • ISBN-10 ‏ : ‎ 053845217X
  • ISBN-13 ‏ : ‎ 978-0538452175

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SKU:tb1002593

Introduction To Business Statistics 7th Edition By Ronald Weiers-Test Bank

Chapter 6: Discrete Probability Distributions
Student: ___________________________________________________________________________
1. True or False
The number of life insurance policy holders is an example of a discrete random variable.
True False

2. True or False
The driving time between Big Rapids and Grand Rapids is an example of a discrete random variable.
True False

3. True or False
The number of hungry people in Ethiopia is an example of a discrete random variable.
True False

4. True or False
One characteristic of a discrete probability distribution is that values of x are exhaustive.
True False

5. True or False
One characteristic of a discrete probability distribution is that the sum of the probabilities for all the possible values for x must be between 0 and 1.
True False

6. True or False
A characteristic of a Bernoulli process is that the trials are statistically dependent; that is, the outcome in any trial is affected by the outcomes of earlier trials, and it does affect the outcomes of later trials.
True False

7. True or False
A characteristic of a Bernoulli process is that the probability of success remains the same from one trial to the next.
True False

8. True or False
The hypergeometric distribution is similar to the binomial distribution in that successive trials are considered to be independent of one another.
True False

9. True or False
The binomial distribution requires that the probability of a success for each trial remains constant.
True False

10. True or False
Theoretically, the number of successes in a binomial distribution has no limit.
True False

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