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1. A hypothesis test is an example of: a.Descriptive statistics b.Inferential statistics c.A measurement of spread...

1. A hypothesis test is an example of:

a.Descriptive statistics

b.Inferential statistics

c.A measurement of spread

d.Data mining


2. If an analyst collects data to determine if the mortality rate at her facility is different from the state average ps, what are the appropriate null and alternative hypotheses?

a. HO:p=ps vs HA: pps

b. HO:pps vs HA: p=ps

c. HO:p=ps vs HA: p>ps

d. HO:p≥ps vs HA: p<ps


3. In hypothesis testing, a type I error is:

a. The probability of correctly accepting the null hypothesis

b. The probability of incorrectly rejecting the null hypothesis

c. The probability of incorrectly accepting the null hypothesis

d. The probability of incorrectly rejecting the alternative hypothesis


4. An analyst wishes to test the impact of a new patient schedule system in the radiology department by comparing the number of MRI tests performed before and after implementation. What statistical test should be used?

a. T-test

b. Two-sample t-test

c.ANOVA

d. Paired t-test


5. What is the median of the following numbers: 3, 9, 2, 5, 5

a. 3

b. 9

c. 1

d. 5


6. What is the range of the following numbers: 3, 9, 2, 5, 5

a. 5

b. 7

c. 9

d. 2


7. The first step in hypothesis testing is:

a. Determining the test statistic

b. Setting the acceptable probability of Type I error

c. Determining the null and alternative hypotheses

d. Collecting the data

8. If a 95 percent confidence interval for a facility’s mortality rate is 5 percent +/-1 percent or (4 percent, 6 percent), would a 90 percent confidence interval for the same sample be:

a. Wider

b. Narrower

c. The same width

d. Not enough information


9. If a null hypothesis is rejected at an alpha level of 0.05, which of the following statements is true:

a. It will be rejected at alpha level 0.01

b. It will not be reject at alpha level 0.01

c. It will be rejected at alpha level 0.1

d. Not enough information to respond.

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Answer #1

1. Hypothesis testing refers to the process of making inferences and educated guesses about a particular population parameter. It is done on the basis of :-

- statistics

- uncontrolled observational study

2. a) is the answer , HO: p=ps vs HA: pps

3) b is the answer , type 1 error is the probability of incorrectly rejecting the null hypothesis . Rejecting the null hypothesis when it is infact true is called type 1 error.

4) a) is the answer ,t - test is the statistical test used to comparing the data in research before and after implementation .

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