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A real estate office wants to make a survey in a certain town, which has 50,000 households, to determine how far the head of household has to commute to work. A simple random sample of 1,000 households is chosen, the occupants are interviewed, and it is found that on average, the heads of the sample households commuted 8.7 miles to work; the SD of the distances was 8.90 miles.(All distances are one-way; if someone isn't working, the commute distance is defined to be 0.) Suppose 86 different survey organizations take simple random sample of 100 persons in the town. Each organization gets a 90% confidence interval. About how many of these intervals should cover the population average?
Is there evidence to suggest a difference in the mean waiting times at the four body shops? Use the .05 significance level.
Analyze the data using linear contrasts to make the following comparisons:
A random sample of 100 observations is obtained from a normally distributed population with a standard deviation of 10. What is a 95% confidence interval for the mean of the population if the sample mean is 40?
Is there evidence of difference in mean life of bulbs produced by the two kinds of machines. What is your conclusion?
A portfolio p of consisting 60% of stock X and 40% of stock Y, has a correlation ρpM = 0.62 with the market. What is the portfolio volatility? Statement on the diversification effect.
Eighteen first interviews are usually scheduled per day. What is the probability that the average length of time for the eighteen interviews will be 40 minutes or longer?
A population has a mean = 80, with standard deviation = 8. The distribution of sample means for samples of size n = 4 selected from this population would have an expected value of?
Many people attend work and produce little or nothing of value that is why they are terminated.
What is the idea of "least squares"? What is the connection between "least squares" and linear regression?
Compute the standard error of estimate, and interpret its meaning.
Can we conclude from this that most workers there earn between $25 and $35 per hour? Is this the right interpretation for the margin of error?
Multiple choice question based on multiple regression - The t value obtained from the table to test an individual parameter at the 5% level
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