- If a researcher does not select the appropriate level of significance (alpha) based upon prior research or industry standard and concludes that the study found a statistical difference when in fact there was no difference, this is referred to as _____
- Type II error
- Reliability
- Type I error
- Validity
2. Which of the following would be an appropriate null hypothesis?
- The mean of the sample is greater than 65.
- The mean of a sample is equal to 65.
- The mean of a population is greater than 65.
- The mean of a population is equal to 65.
3. A Type I error is committed when _____.
- We reject a null hypothesis that is true.
- We do not reject a null hypothesis that is false.
- We reject a null hypothesis that is false.
- We do not reject a null hypothesis that is true.
4. In a research study, if the sample size is too low and the results do not find a statistical difference when in fact there is a difference, this is referred to as _____.
- Type II error
- Reliability
- Validity
- Type I error
5. A Type II error is committed when _____.
- We do not reject a null hypothesis that is true.
- We do not reject a null hypothesis that is false.
- We reject a null hypothesis that is true.
- We reject a null hypothesis that is false.
6. A Type II error is committed when _____.
- We do not reject a null hypothesis that is false.
- We reject a null hypothesis that is false.
- We reject a null hypothesis that is true.
- We do not reject a null hypothesis that is true.
7. Quantitative research strives for quality and the ability to apply the analysis to a broader population. This is referred to as _____.
- Reliability
- Generalization
- Validity
- Normality
8. A Type II error is committed when _____.
- We reject a null hypothesis that is false.
- We do not reject a null hypothesis that is false.
- We reject a null hypothesis that is true.
- We do not reject a null hypothesis that is true.
9. To obtain a sample of 20 patients in ICU, clinician goes to the ICU and selects the current patients. This is an example of a:
- Judgment sampling
- Simple random sampling
- Snowball sampling
- Convenience sampling
10. Which of the following can be reduced by proper interviewer training?
- Neither sampling error nor measurement error
- Sampling error
- Both sampling error and measurement error
- Measurement error
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