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A marketing firm wished to determine whether the number of television commercials broadcast was linearly correlated with the sales of its product. The data was obtained from 10 different cities and the calcuated value of r was 0.67. Is this linear correlation coeffiecient significantly greater than zero, at alpha = 0.05?
State the alternative hypothesis: Ha: rho 0 (enter the symbol)
State the degrees of freedom:
< p-value <
State the decision ( R for reject Ho and F for fail to reject Ho)
Is there reason to believe there is a positive linear correlation between the number of t.v. commercials and the sale of this product? ( yes or no)
We often hear you can lie with statistics. This is one way of saying statistics can be easily mis-communicated. Find one example of how statistics are mis-communicated and explain why there was a mis-communication and what you would do to correct ..
Suppose that the cars have been categorized according to whether the car needs warranty-related repair (yes or no) and the country in which the company manufacturing the car is based
The sample mean of the accounts is found to be y-bar = $94.22, and the sample variance is equal to $455.21. Estimate mu and place a bound on the error of estimation.
Bicycle helmet use. Table lists data from a cross-sectional survey of bicycle safety. The explanatory variable is a measure of neighbourhood socioeconomic status (variable_RFM). The response variable is "percent of bicycle riders wearing a helmet"..
a. Is there evidence the mean amount is different from 1.0 gallon (alpha= 0.01)? b. Compute the p-value and interpret its meaning. c. construct a 99% confidence interval estimate of the population mean amount of paint.
At the .01 significance level, can the manufacturer conclude that the price reduction resulted in an increase in sales?
It is suspected that the mean turnover has changed and is not 6.0. Use the .05 significance level. Give the formula for the test statistic.
Is there any reasonable explanation for the two months that have the highest frequencies?
Use the normal approximation to the binomial distribution and part (b) to answer the following question: What is the probability that a seat will be available for every person who shows up holding a reservation?
Draw the OC curve. If the average number of defects increased by to 10 per tractor, what would the probability of detecting the shift in a control chart?
In the last quarter of 2007 a group of 64 mutual funds had a mean return of 0.9% with a standard deviation of 5.2%. Consider the normal model N(0.009.052) for the returns of these mutual funds.
State the hypotheses for a right-tailed test.
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