医学统计学英文练习题

1. What is the difference between a sample and a population? A. A sample is a subset of a population, while a population is the entire group being studied. B. A sample is a smaller group than a population. C. A population is a smaller group than a sample. D. A sample and a population are the same thing.

Answer: A. A sample is a subset of a population, while a population is the entire group being studied.

2. What is the purpose of a hypothesis test? A. To determine the probability of observing a sample statistic if the null hypothesis is true. B. To determine the probability of observing a population parameter if the null hypothesis is true. C. To determine the probability of observing a sample statistic if the alternative hypothesis is true. D. To determine the probability of observing a population parameter if the alternative hypothesis is true.

Answer: A. To determine the probability of observing a sample statistic if the null hypothesis is true.

3. What is a p-value? A. The probability of observing a sample statistic if the null hypothesis is true. B. The probability of observing a population parameter if the null hypothesis is true. C. The probability of observing a sample statistic if the alternative hypothesis is true. D. The probability of observing a population parameter if the alternative hypothesis is true.

Answer: A. The probability of observing a sample statistic if the null hypothesis is true.

4. What is a Type I error? A. Rejecting the null hypothesis when it is actually true. B. Failing to reject the null hypothesis when it is actually false. C. Rejecting the alternative hypothesis when it is actually true. D. Failing to reject the alternative hypothesis when it is actually false.

Answer: A. Rejecting the null hypothesis when it is actually true.

5. What is a Type II error? A. Failing to reject the null hypothesis when it is actually false. B. Rejecting the null hypothesis when it is actually true. C. Failing to reject the alternative hypothesis when it is actually false. D. Rejecting the alternative hypothesis when it is actually true.

Answer: A. Failing to reject the null hypothesis when it is actually false