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Most individuals are aware of the fact that the average annual repair cost for an automobile depends on the age of the automobile. A researcher is interested in finding out whether the variance of the annual repair costs also increases with the age of the auto. A sample of 24 autos 4 yrs. old showed a standard deviation of $100 and a sample of 26 automobiles 2 yrs. old showed a standard deviation of $170. What is the test statistic for testing the difference between these population variances at alpha =.01?
At the 5% level of significance, test whether the proportion of internet users paying bills online is now more than 50%.
The lives of many people are affected by a fear that prevents them from flying. An institute for public opinion conducted a poll of 1014 adults, 48%of whom were men.
A random sample of 16 ages is drawn from the population, and we find the sample mean of these observations to be μ = 8.76
How large a sample must one take to be 90% confident that the estimate is within 0.05 of the true proportion of women over 55 who are widows?
You are considering adding a new food product to your store for resale. Explain how many units of the new product should be purchased for resale.
The table below shows the probability distribution of the annual sales (in Millions) of a small rm. Calculate the Expected value, Variance, and Standard deviation of the annual sales?
A box contains four 40-W bulbs, five 6-W bulbs and six 70-W bulbs, if three bulbs are selected without replacement randomly. What is the probabilty that three are 70-W bulbs?
6% are too long and can be used after being cut, and 4% are too short and must be scrapped. What is the probability that a randomly selected bolt can be used?
What types of variables are measured using Pearson coefficient, and what types variables are measured with chi square; I am looking for names of variables (e.g., nominal, interval)?
Auditor wants to be within 7% of true proportion when using 95% confidence level. How many files should auditor sample?
You wish to evaluate the proportion of customers who are satisfied with their supermarket at level of confidence of .92 and in .025 of true value. How large of sample is required?
Given a binomial distribution with n=29 and p=0.83, would the normal distribution provide a reasonable approximation? Why or why not.
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