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Studies show that 24% of all students at Richardson Technical College smoke. Suppose that we are interested in the proportion of the 70 students in the lunchroom cafeteria that smokes.
(a) Is the normal approximation for the proportion p = r/n valid?
(b) What is the probability that the proportion of those in the cafeteria who smoke is at least one-third?
(c) What is the probability that the proportion of those in the cafeteria who smoke is no more than 20%?
Construct a 90% confidence interval on the difference in fraction nonconforming between the two processes."
(a) Write the fitted regression equation, (c) What is your conclusion about the slope.
State the alternate hypothesis for this study? What critical value should be used to determine the rejection region? Use the 1 proportion Z-test.
Classify as independent or dependent samples: The average price of gasoline at ten local stations, and the average price of gasoline at ten stations in another state.
Can we conclude that car size is dependent on marital status? YES or NO (circle one)
A manufacturer claims that the life span of its tires is 52,000 miles. You work for a consumer protection agency and you are testing these tires. Assume the life spans of the tires are normally distributed.
Could rejecting the null hypothesis actually be a positive thing in an experiment or test? Please provide and example with your thoughts. Could you think of a situation where rejecting the null hypothesis does not mean the alternative hypothesis is ..
Use the normal distribution of SAT critical reading scores for which the mean is 507 and the standard deviation is 121. Assume the variable x is normally distributed.
Suppose you want to test the claim that population mean miu=3.5. Given a sample size of n=34 and a level of significance of alpha=0.01, when should you reject Ho?
Compute the two weights that give the cutoff points for the three categories.
Use a significance level of alpha = .05 to test the claim that p > .5. The sample is a simple random sample n = 50. Show how to calculate beta for the test and assume the true population proportion is .6.
The use of linear regression is a critical tool for a manager's decision-making ability. Please carefully read the example below and try to answer the questions in terms of the problem context.
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