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A salesman who frequently drive from Los Angeles to San Diego finds that his driving time is a random variable (×) having roughly a normal distribution with population mean = 2.3 hours and population standard deviation = 0.2 hours.
A. Find the probability that such a trip will take more than 2.4 hours.
B. Below what value(number of hours) are the fastest 25% of his trips? P(×<b) =0.25, b?
Public Health and Nutrition Individuals who belong to a health maintenance organization (HMO) usually share the cost of certain medical services.
for the data set below if you were to fit a regression equation what would the value of r2 be to two decimals? hint
Using the data of Problem, fit a linear model and a power model. Make a complete assessment of each. Which model is best for prediction? Support your choice.
Explain whether the researcher should use an independent-samples t-test or a related-samples t-test for this scenario. Provide a rationale for your decision.
Explain why the polls that are so frequently quoted during early returns on Election Day TV coverage are an example of cluster sampling.
Why do media, individuals, and books have such a strong influence on the public agenda? Do they have the same influence on the formal agenda?
If the stock sells for $38 a share, what is your best estimate of ABC's cost of equity?
Assume that your county's population is similar to the American population in age distribution. What are the mean and standard deviation of the proportion P^ who are at least 75 years of age in samples of 150 respondents?
Given that X¯ = 78, σ2 = 25, n = 10, and α = 0.05, test H0: µ > 80, assuming observations are randomly sampled from a normal distribution.- Also, draw the standard normal distribution indicating where Z and the critical value are located.
Construct a 99% confidence interval estimate of the mean body mass index for men. Construct a 99% confidence interval estimate of the mean body mass index for women
Hypothesis testing, or significance testing, is a method of testing a claim or hypothesis about a parameter in a population, using data measured in a sample.
Using a normal distribution with a mean of 1118 and a standard deviation of 52 for the weights of steers, what percent of steers weigh over 1250 pounds, under 1100 pounds, between 1000 and 1150 pounds.
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