Explain how the results of a very small study can be misleading. (Assume data quality is not an issue.)
Q. 2Is there such a thing as a sample size that was too large, in terms of producing misleading conclusions about the population? __________ (choose: yes, no)
Fill in the blank(s) with correct word
Q. 3Suppose a chi-square statistic testing for a relationship between two variables was found to be 1.746, with p-value 0.19 . What happens to the chi-square statistic and the resulting p-value if you triple the sample size?
a. The chi-square statistic triples and so does the p-value.
b. The chi-square statistic triples resulting in a smaller p-value.
c. The chi-square statistic goes up by a factor of 3 squared, and the p-value changes accordingly.
d. None of the above.
Q. 4Which of the following statements is false?
a. If the sample size is large enough, almost any null hypothesis can be rejected.
b. There is almost always a slight relationship between two variables, or a difference between two groups, and if you collect enough data, you will find it.
c. Larger samples sizes always produce more meaningful results than small sample sizes.
d. None of the above statements are false.
Q. 5Explain how the public can be misled by the results of a very large study.. (Assume data quality is not an issue.)
Q. 6Is it possible for the same relative risk to produce two different conclusions in two different statistical studies? Explain why or why not. (Assume data quality is not an issue.)
Q. 7Suppose a study found a strongly statistically significant relationship between two variables. From the p-value for this study you __________ (choose: could, could not) find the probability that there is a relationship between these two variables in the population.
Fill in the blank(s) with correct word
Quick Reply
