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When parking a car in a downtown parking lot, drivers pay according to the number of hours or fraction thereof. The probability distribution of the number of hours cars are parked has been estimated as follows:
A. Mean =
B. Standard Deviation =
The cost of parking is 3.5 dollars per hour. Calculate the mean and standard deviation of the amount of revenue each car generates.
A standard deviation of 36 donuts. If a sample of 16 stores results in a sample average of 249 donuts what is the standard error of the mean?
The Z score on the comparison distribution for the sample score, and (c) your conclusion. Assume that all populations are normally distributed.
the weights of a population of workers have mean 167 and standard deviation 27. if a sample of 36 workers is chosen
Which measure of association would the researcher use to compare the relationship between the IV and DV? Why?
a sample of 24 of 172 funded projects revealed that 17 were valued at 17200 each and 7 were valued at 20480 each. from
to devise effective marketing strategies it is helpful to know the characteristics of your customers. a study compared
The average gasoline price of one of the major oil companies in Europe has been $1.25 per liter. Recently, the company has undertaken several efficiency measures in order to reduce prices.
The samples do indicate that university A's students are younger than university B's; but is the difference significant at the 1% level?
The difference between the median and mode
Assuming that any newspaper left over has no value and that running short has no effect on any customer's tendency to return, determine the losses due to understockting and overstockting.
A random sample of 49 employees took a computer literacy test. The sample resulted in a mean score of 75 with a standard deviation of 21. Estimate the standard error of the mean.
The researcher was interested in how well what he/she manipulated predicts how happy subjects feel at the end of the procedure. Using the data below, calculate the regression constants and present the equation for the regression line.
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