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The distribution of diastolic blood pressures for the population of female diabetics between the ages of 30 and 34 has an unknown mean μd and a standard deviation σd = 9.1 mm Hg. It may be useful to physicians to know whether the mean of this population is equal to the mean of the general population of females in this age group, 74.4 mm Hg.
a) A sample of 10 diabetic women is selected; their mean diastolic blood pressure is x-bard= 84 mm Hg. Using this information, conduct a two-sided test at the α = 0.05 level of significance. What is the p-value of the test?
b) What conclusion do you draw from the results of the test?
c) Would your conclusion have been different if you had chosen α = 0.01 instead of α = 0.05?
A magazine article stated that the average age of women who are getting married for the first time is 26 years. A researcher decided to test this hypothesis at α = .02. She selected a sample of 25 women who were recently married for the first time..
At α = 0.10, can the researcher conclude that alcohol consumption is related to sex? What kind of Chi-Square test is this?
A loaf of bread is normally distributed with a mean of 22 oz and a standard deviation of 0.5 oz. What is the probability that a loaf is more than 22.25 oz?
Statistical Hypothesis testing - Frequency distribution
The following are quality control data for a manufacturing process at Kensport Chemical Company. The data show the temperature in degrees centigrade at five point in time during a manufacturing cycle.
Using the sample information given in the above exercise, the p value for testing Ho versus Ha can be calculated to be 0.0057
No, there is not enough information to refuse hypothesis that proportion of male students who live on campus and proportion of female students who live on campus are same as the test value -1.65 is inside acceptance region (-1.96,1.96).
Suppose a simple random sample of 20 non-English student have an average math score on the SAT exam of 528. What are the appropriate hypotheses?
Determine the sample size needed in order to be 99% confident that the sample proportion of the current customer accounts is within .03 of the true proportion of all current accounts for this company.
The ________ is the probability of observing a sample value as extreme as, or more extreme than the value observed, given that the null hypothesis is true.
If the mailing list can be considered a random sample of the population, what is the chance that at least 1245 Macintosh users will receive the flyer?
Using ANOVA summary table, find out if regression model is significant.
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