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A reporter bought hamburgers at randomly selected stores of two different restaurant chains, and had the number of Calories in each hamburger measured. Can the reporter conclude, at α = 0.05, that the hamburgers from the two chains have a different number of Calories?
Chain A Chain BSample size 5 9Sample mean 230 Cal 285 CalSample standard deviation 23 Cal 29 Cal
A) No, because the test value -0.28 is inside the noncritical region -2.306 < t < 2.306B) Yes, because the test value -0.28 is inside the noncritical region -2.776 < t < 2.766C) Yes, because the test value -3.90 is outside the noncritical region -22.776 < t < 2.776D) No, because the test value -1.26 is inside the noncritical region -2.306 < t < 2.306
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Discuss the strengths and weaknesses of correlational and regression studies; discuss concepts such as positive and negative correlations, correlation coefficients, confounding, and causality.
Gasoline and number of gallons sold. For sample of 14 stations last Tuesday, correlation was 0.83. At 0.05 significance level, is correlation in population greater than zero?
Calculate a 95% upper confidence bound on the mean. Compare this bound with the upper bound of the two-sided confidence interval and discuss why they are different.
Simulate 50 observations from a normal distribution with mean 0 and standard deviation 1. make a normal plot.
Give an example of two variables that probably have a significant linear correlation coefficient, but one variable does not necessarily cause the other.
What sample size would be necessary to estimate the true weight with an error of +/- 0.03 grams with 90 percent confidence?
Give all steps of a test of the hypothesis that the corresponding population proportions are equal.
Shank's Inc., a nationwide advertising firm, wants to know whether the size of an advertisement and the color of the advertisement make a difference in the response of magazine readers.
A random sample of 12 single men were asked if they would welcome a woman asking them for a date. using the binomial probability table, find the probability that: none of the men will say yes.
A lot of n items comprises k defectives, and m are chosen randomly and inspected. How must the value of m be selected so that probability that at least one defective item turns up is .90?
Suppose an unrelated 77-year old man, 76 - year old woman, and 82- year old woman are selected from a community. What is the probability that all three of these individuals have Alzheimer's disease?
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