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CHAPTER 7
 
Question one
Look at the scatter plot below. Does it demonstrate a positive or negative correlation? Why? Are there any outliers? What are they?
 
 
Question two
Look at the scatter plot below. Does it demonstrate a positive or negative correlation?
Why? Are there any outliers? What are they?
 
 
 
 
Question three
The following data come from your book, problem 26 on page 247. Here is the data:
Mean daily calories                                                                    Infant Mortality Rate (per 1,000 births)
1523                                                                                                                154
3495                                                                                                                6
1941                                                                                                                114
2678                                                                                                                24
1610                                                                                                                107
3443                                                                                                                6
1640                                                                                                                153
3362                                                                                                                7

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  • For the above data construct a scatter plot using SPSS or Excel (Follow instructions on page 244 of your textbook). What does the scatter plot show? Can you determine a type of relationship? Are there any outliers that you can see?

 

  • Using the same data conduct a correlation analysis using SPSS or Excel. What is the correlation coefficient? Is it a strong, moderate or weak correlation? Is the correlation significant or not? If it is what does that mean?

 
Question Four
 
Bill is doing a project for you in the marketing department. In conducting his analysis regarding consumer behavior and a new product that has come out, he tells you the correlation between these two variables is 1.09. What is your response to this analysis?
 
Question Five
 
Judy has conducted an analysis for her supervisor. The results she obtained was a correlation coefficient that was negative 0.86. Judy is confused by this number and feels that because it is negative and not positive, is means that it is bad. You are here supervisor. How would you clarify this result for Judy regarding the meaning of the correlation?
 
Question Six
 
Explain the statement, “correlation does not imply causality.”
 
Question Seven
 
Using the best-fit line below for prediction, answer the following questions:
 

  1. What would you predict the price of Product X in volume of 150 to be (approximately)?

 

  1. What would you predict the price of Product X in volume of 100 to be (approximately)?

 
 
 
Question Eight
You are interested in finding out if a student’s ACT score is a good predictor of their final college grade point average (GPA). You have obtained the following data and are going to conduct a regression analysis. Follow instructions on page 244 of your textbook under line of best fit to conduct this analysis?
ACT                 GPA
22.0                 3.0
32.0                 3.78
33.0                 3.68
21.0                 2.94
27.0                 3.38
25.0                 3.21
30.0                 3.65
 
 

  1. What is the R? What type of relationship does it indicate (strong/weak; positive/negative)?

 

  1. Go to the coefficients readout. The constant is the intercept. Under that is the ACT and that is the slope. Using the straight line formula of Y = mx + b, which you will find on page 262, you will now predict some future GPA scores: In the formula (m) is the slope; (x) is the variable that you are looking to use as a predictor; and (b) is the intercept. Predict GPA from the following ACT scores using the regression equation/straight line formula (show all your work):

 

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CHAPTER EIGHT
 
Question one
 
A sample of nine students is selected from among the students taking a particular exam. The nine students were asked how much time they had spent studying for the exam and the responses (in hours) were as follows:
 
18, 7, 10, 13 12, 16, 5, 20, 21
Estimate the mean study time of all students taking the exam. Round your answer to the nearest tenth of an hour, if necessary.
 
The mean study time of all the students taking the exam is 13.6
 
Question Two
 
Scores on a particular test have a mean of 64.6. The distribution of sample means for samples of size 100 is normal with a mean of 64.6 and a standard deviation of 1.9. Suppose you take a sample of size 100 of test scores and find that the mean is 63. What is the z-score corresponding to this sample mean?
 
Question Three
 
There are 349 teachers at a college. Among a sample of 110 teachers from this college, 66 have doctorates. Based on this sample, estimate the number of teachers at this college without doctorates.
 
Question Four
 
Sample size = 400; sample mean = 44; sample standard deviation = 16. What is the margin of error?
 
Question Five
 
A sample of 64 statistics students at a small college had a mean mathematics ACT score of 28 with a standard deviation of 4. Estimate the mean mathematics ACT score for all statistics students at this college. Give the 95% confidence interval.
 
Question Six
A government survey conducted to estimate the mean price of houses in a metropolitan area is designed to have a margin of error of $10,000. Pilot studies suggest that the population standard deviation is $70,000. Estimate the minimum sample size needed to estimate the population mean with the stated accuracy.
 
Question Seven
A researcher wishes to estimate the proportion of college students who cheat on exams. A poll of 490 college students showed that 33% of them had, or intended to, cheat on examinations. Find the margin of error for the 95% confidence interval.
 
 
 
 
 
 

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