HLT-362V GCU QUIZ 2 week 3
Grand Caynon
University HLT-362V
Week 3 Quiz 2
1. If you are conducting a study on the impacts of diet and exercise on high blood pressure
and you take a proportional sample based upon race/ethnicity, this would be an example
of: Stratified sampling
2. 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 I error
3. 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: Convenience sampling
4. Scenario Based Question: If you were conducting a study of blood pressure readings in
a hospital unit, compared AM and PM readings, and assumed the data were normally
distributed and variances were equal, what type of statistical test would be conducted?
Paired t-test
5. Which of the following can be reduced by proper interviewer training? Measurement error
6. Which of the following would be an appropriate null hypothesis? The mean of a population
is equal to 65.
7. 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
8. Quantitative research strives for quality and the ability to apply the analysis to a
broader population. This is referred to as: Generalization
9. A Type I error is committed when: We reject a null hypothesis that is true
10. A Type II error is committed when: We do not reject a null hypothesis that is false.
One of the answer was wrong. I got 9/10
Grand Caynon
University HLT-362V
Week 3 Quiz 2
1. If you are conducting a study on the impacts of diet and exercise on high blood pressure
and you take a proportional sample based upon race/ethnicity, this would be an example
of: Stratified sampling
2. 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 I error
3. 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: Convenience sampling
4. Scenario Based Question: If you were conducting a study of blood pressure readings in
a hospital unit, compared AM and PM readings, and assumed the data were normally
distributed and variances were equal, what type of statistical test would be conducted?
Paired t-test
5. Which of the following can be reduced by proper interviewer training? Measurement error
6. Which of the following would be an appropriate null hypothesis? The mean of a population
is equal to 65.
7. 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
8. Quantitative research strives for quality and the ability to apply the analysis to a
broader population. This is referred to as: Generalization
9. A Type I error is committed when: We reject a null hypothesis that is true
10. A Type II error is committed when: We do not reject a null hypothesis that is false.
One of the answer was wrong. I got 9/10
