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a company claimts that 9 out of 10 doctors reccomend its brand of cough syrup to their patients. to test this claim against the alternative that the actual proportion is less than 90%, a random sample of doctors was taken suppose the test statistic is z= -1.95. can we conclude that h0 should be rejected at the 1) a=.10 b) a=0.05 c) a= 0.01 level?
The letters were rotated away from 0 degrees. Interestingly, reaction time decreased after 180 degrees. Can you explain why this might occur?
A clinical investigator is interested in understanding the relationship between demographic factors and congestive heart failure, measured by a cardiac index (CI).
A geologist has collected 10 specimens of basaltic rock and 10 specimens of granite. The geologist instructs a laboratory assistant to randomly select 15 of the specimens for analysis.
A recent study of cardiovascular risk factors reports that 30% of adults meet the criteria of hypertension. if 15 adults are assessed, what is the probabiliy that?
Identify this F ratio. What does the F ratio tell you about the fit of the regression equation to the sample points? What does it suggest?
what sample size should be used in the funding decision study? Use σ = $4000 as a planning value. ________________
A recent article in Vitality magazine reported that the mean amount of leisure time per week for American men is 40.0 hours. You believe this figure is too large and decide to conduct your own test.
A group of investors wants to develop a chain of fast food cafés. In determining potential costs for each facility, they must consider, among other costs, the average monthly cost of electricity.
Estimate the percentage who weigh more than 180 pounds? Assume that we want 96% confidence that the error is no more than 1.5 percentage points.
Critically discuss some reasons that business outputs vary? For example why does production output vary? Explain the difference between common causes of variation and special causes of variation.
Given that consumer changed te brands, what is the probability that consumer purchased fewer products than before?
(a) State the hypothesis for a right-tailed test. (b) Obtain a test statistic and p-value assuming equal variances. Interpret these results. (c) Is the difference in mean scores large enough to be important?
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