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The following problem should be answered in R:
Generate 50 normal distributions with mean= 15 and standard deviation= 3 with a sample size of 30 each. For each of these data sets, calculate the 90% con dence interval.
(a) How many of the 50 confidence intervals contain the population mean?
(b) Is this number that you calculate the same as you would expect? Why or why not?
(c) Answer the question in (a) for the 95% confidence interval
Use SPSS to make a scatterplot between stress and coping, and then add the fitted regression line to the plot. Mark both intercept and slope on the plot (You may consider to change the default X scale in SPSS)
In a certain distribution of numbers the mean is 60 with a standard deviation of 8. Use Chebyshevs theorum to tell the probability that a number lies in each interval.
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weighing bean seeds. biological measurements on the same species often follow a normal distribution quite closely. the
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a standard deviation of 5 miles per gallon. At α=0.05, can you reject the auto maker's claim that the mean gas mileage of its luxury sedan is at least 25 miles per gallon?
alex sells exciting world of statistics videos over the phone to earn some extra cash during the economic crsis. only
In which category is ANOVA properly classified?
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suppose that a point x y is to be chosen at random in the xy-plane where x and y are independent random variables and
Using your answers to the earlier parts of this question, explain how the sample size affects the mean and SD of the sum of a collection of random variables. Limit your answer to 2-3 sentences.
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