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The following table summarizes data between money spent on gambling and winnings for Robert.
Money Spent Money Won
x y
12 62
10 54
16 86
18 100
15 80
10 57
5 26
12 60
22 105
25 140
Develop a linear regression equation for these data and forecast how much money Robert will win if he spends $30.
Toledo, OH has been experiencing improved economic growth following huge capital investments from companies like Chrysler. You have just been hired by RGP, an agency for facilitating business expansion and location in the Toledo metropolitan area.
Describe appropriate treatment means μ1, μ2 and μ3. After that Test for statistically significant differences between these treatment means. Set α = 0.05.
The majority of the data is basically distributed if there are enough subjects. For instance, if you collected test scores of only a few honor students, the data will most likely not be normally distributed because you would have a sample that did..
Determine sample size requirements. When the results are available you would like your margin of error to be plus or minus 5% for the satisfaction measure and plus or minus $1.50 for the spending value.
Explain the independent variable, covariate, and levels (groups) of eah. Also, explain the dependent variable and its associated measurement scale and expected outcome.
Type the above data into the SPSS Data Editor window, or save this file as an unformatted text file and write SPSS syntax to read it in.
The owner was interested in the mean time required to service this model, and decided not to carry the model if the mean repair time appeared to be more than 40 minutes.
If statistically significant, do you think the difference is large enough to be important?
Develop a probability for the number of students in the sample who watch soap operas.
Find the maximum and minimum prices of the houses a contractor will build to include the middle 65% of the market.
A random sample of 10 shafts has an average diameter of 0.2545 inches. a) Construct a 99% confidence interval of the true mean
Explain your answer to someone who is familiar with the t test for a single sample, but not with the t test for independent means.
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