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A study asked 500 men who had prostate cancer about their consumption of 50 different foods. One of the foods is found to have a statistically...
1.A study asked 500 men who had prostate cancer about their consumption of 50 different foods. One of the foods is found to have a statistically significant relationship to prostate cancer. The most likely reason for this is___
A)That the food definitely has a relationship to prostate cancer
B)You would expect to see one significant result when you carry out 50 significance tests.
C)Statistical significance does not imply practical significance
D)There is a third confounding variable contributing to the results
2.Our hypothesis test is testing to see if there is a difference in the population mean between two groups. The data for each group has considerable variability. Given that there is considerable variability in the data for the two groups __________.
A)it will be easy to reject the null hypothesis of "no difference" with a small sample
B)it will be likely we don't reject the null hypothesis of "no difference" with a small sample
3.We test whether two group population means differ. The p-value of our test statistic is 0.047 which is less than or equal to 0.05. What is the most appropriate conclusion we can make with the information given?
A)We can conclude that the difference in the two group population means is both statistically significant and practically significant.
B)We can conclude that the difference in the two group population means is neither statistically significant nor practically significant.
C)We can conclude that the difference in the two group population means is statistically significant, but we cannot assess whether the difference is practically significant until we D)are given a confidence interval for the difference in the two group population means.
4.Which of the following two statements are correct?
A)A statistically significant result is always practically significant
B)A result that is not statistically significant is never of practical significance
C)It is possible that a statistically significant result is not of practical significance
D)It is possible that a result that is not statistically significant is of practical significance.
5.A hypothesis test with a statistically significant result indicates that the alternative hypothesis is correct.