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A Cornell University researcher measured the mouth volumes of 31 men and 30 women. She found a mean of 66 cc for men (SD = 17 cc) and a mean of 54 cc for women (SD = 14.5 cc). The man with the largest mouth had a mouth volume of 111.2 cc. The woman with the largest mouth had a mouth volume of 95.8 cc.
a) Which had the more extraordinarily large mouth?
b) If the distribution of mouth volumes is nearly Normal, what percentage of men and of women should have even larger mouths than these (higher than the highest listed above)?
A shock can cause the failure of component 1 alone with probability p, component 2 alone with probability q, both components with probability r, or have no effects with probability 1-p-q-r. Suppose no repairs are possible and the system fails when..
Suppose that the incident rate of a particulat kind of accient is 1/10,000 persons. In a town of 50,000 persons, what is the probability that there is no accident of this kind?
Suppose a restaurant business succeeds 60% of the time. Suppose that there are three such restaurants open in your city. When they don't compete with one another, it is reasonable to believe that their relative success would be independent.
By using the results in (a), construct a boxplot. Indicate clearly on the boxplot the five-number summary. Are the data skewed? If so, describe its skewness.
A random sample of 346 individuals is selected, and the individuals are classified according to their smoking habits and the smoking habits of their parents. The results are given in the contingency table below.
Find a 95% confidence interval for the percentage of girls and women in Taiwan who had antibodies at that time.
A quality-control manager randomly selects 70 bottles of ketchup that were filled on S1 to assess the calibration of the filing machine. Determine the population study?
How do we go about interpreting the results of various types of statistical tests in health care research?
Discuss an example where you would use a test of hypothesis for in your professional life, personal life, education or politics. Provide sufficient details so that the context is clear and also discuss if the example involves:
A coin was flipped 60 times and came up heads 36 times. Determine the critical value you would use to test whether proportion of heads is greater than 0.50 at 10% level of significance?
Probability of selecting a graduating college who had given blood that percent of the time. What is the mean number of times a person gave blood based on this poll?
When a 99% confidence interval is calculated instead of a 90% confidence interval with n being the same, the margin of error will be
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