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A business owner considers the relationship between square footage and monthly sales.
Square footage, Sales (1,000s)
380 32
400 37
250 33
320 31
330 29
360 37
a. Determine the correlation coefficient.
b. Is there a strong relationship? If so determine the line of best fit.
c. Estimate what the sales should be for a 3000 square foot shop.
Suppose the assembly times follow normal distribution. Find out z values for 29 and 34 hours. What percent of garages take between 32 hours and 34 hours to erect?
We assume that we have selected two independent random samples from populations having proportions p 1 and p 2 and that p-hat 1 = 800/1000 and p-hat 2 = 950/1000
A product sold by Home Depot, Inc., with an annual demand of 1000 units has Co = $25.50 and Ch = $8. The demand exhibits some variability such that the lead-time demand follows a normal probability distribution
A gambler loses 10 times running at roulette. He decides to continue playing because he is due for a win, by the law of averages. A bystander advises him to quit, on the ground that his luck is cold. Who is right? Or are both of them wrong?
Determine the value of the finite population correction factor if population size is 1000 and the sample size is 300? What is the smallest sample size for which finite population correction factor must be Used?
What is the level of measurement for the variable, "political ideology" measured as "Very Conservative", "Conservative","Moderate", "Liberal" and "Very Liberal".
A standard IQ test has mean of 98 and a standard deviation of 16. We want to be 99% certain that we are 8 IQ points of the true mean. Determine the sample size.
The mean of a normal probability distribution is 60; the standard deviation is 5.
Construct a 95% confidence interval estimate of their mean weight.
What statement can you made by using the rule of three, about the proportion p, of all its computers which are defective?
For a given confidence interval, what is the interpretation of a 96% confidence level?
The following table shows the hardness (in Brinell hardness numbers) and the tensile strength (in thousands of pounds per square inch) of ten specimens of a certain alloy.
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