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Q1)i) Find the tc for a 90% confidence level with a sample size of 18.
ii) A random sample of 41 basketball players from The Official NBA Basketball Encyclopedia gave the sample standard deviation for player height as s=3.32 inches. How many more players from this encyclopedia should be included in the sample to be 99% sure that the sample mean is within 0.50 inches of the population mean of all players in this book?
iii) Use Norman's mean weight of 46.2 lbs. and standard deviation of 2.5 lbs. of flour. Determine a confidence interval for the mean weight of flour needed using a sample of 26 loaves. Use a confidence level of 90%.
iv)a) Degrees of freedom = _____.
b) Critical value = _____.
c) Value of maximal error = _____.
d) Value confidence interval = _____.
Explain the logic of what you have done, writing as if you are speaking to someone who has never heard of correlation (but who does understand the mean, deviation scores, and hypothesis testing);
In a survey conducted to see how long Americans keep their cars, 2000 automobile owners were asked how long they plan to keep their present cars. The results of the survey follow. Find out the probability distribution associated with these data.
Find the critical t-value that corresponds to 90% confidence. Assume 90 degrees of freedom.
Construct the 90% and 95% interval estimates for the population mean weekly sales.
Decide if the events A and B are mutually exclusive or not mutually exclusive. A card is drawn from standard deck of 52 playing cards.
Test the claim that for the adult population of one town, the mean annual salary is given by μ = $30,000.
Be sure the appropriate assumptions and conditions are satisfied before you proceed.
Using the results, describe the effect of an outlier or extreme value on the confidence interval.
I have fit a line to data representing cholesterol readings for 28 individuals starting a cholesterol reducing drug. The computer provides the following output, The degrees of freedom for the t test for the slope are
Suppose that 46 percent of families living in a certain country own a car and 18 percent own an SUV. The Addition Rule might suggest, then, that 64 percent of families own either a car or an SUV. What's wrong with that reasoning.
Perform a parametric analysis by assessing the fractional change in the probability of failure with respect to a small change in the mean and standard deviation of selected variable.
Describe the sampling distribution model of this mean.
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