math 533
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Math 533 44
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Math 533 Syllabus Spring B 2014 Wed Night 6pm
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Math 533•Math 533
MATH 533 BRAVO BEATRIZ WEEK 7 PART C COURSE PROJECT FINAL
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MATH 533•MATH 533
MATH 533 Week 7 Course Project C
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MATH 533•MATH 533
MATH 533 Week 8 Final Exam Set 1
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MATH 533•MATH 533
MATH 533 Week 6 Course Project Part B Hypothesis Testing and Confidence Inter
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MATH 533•MATH 533
MATH 533 Week 6 Course Project Part B Hypothesis Testing
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MATH 533•MATH 533
MATH 533 Final Exam Set 1
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MATH 533•MATH 533
MATH 533 Week 7 Course Project Part C Regression and Correlation Analysis (SALESCALL Project)
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MATH 533•MATH 533
MATH 533 WEEK 7 COURSE PROJECT PART C, REGRESSION AND CORRELATION
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MATH 533•MATH 533
MATH 533 FINAL EXAM 2.
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MATH 533•MATH 533
MATH533_Final_Exam_Ultimate.
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MATH 533•MATH 533
Revised_MATH_533_Course_Project_Part___B
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MATH 533•MATH 533
MATH 533 WEEK 7 COURSE PROJECT PART C, REGRESSION AND CORRELATION
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MATH 533•MATH 533
MATH 533 Week 2 Course Project Part A: Exploratory Data Analysis 
 
SALESCALL Inc. has thousands of salespeople throughout the country. A sample of 100 salespeople is selected, and data is collected on the following variables. 
 
SALES (the number of sales made this week) 
CALLS (the number of sales calls made this week) 
TIME (the average time per call this week) 
YEARS (years of experience in the call center) 
TYPE (the type of training, either group training, online training of no training) 
...
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MATH 533•MATH 533
MATH 533 Week 6 Course Project Part B: Hypothesis Testing and Confidence Intervals 
 
Your manager has speculated the following: 
 
a. The average (mean) sales per week exceeds 41.5 per salesperson. 
 
b. The true population proportion of salespeople that received online training is less than 55%. 
 
c. The average (mean) number of calls made per week by salespeople that had no training is less than 145. 
 
d. The average (mean) time per call is greater than 15 minutes. 
 
1.Using the sample d...
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MATH 533•MATH 533
MATH 533 Week 7 Course Project Part C: Regression and Correlation Analysis 
 
Using Minitab, perform the regression and correlation analysis for the data on SALES (Y) and CALLS (X) by answering the following questions. 
 
Generate a scatterplot for SALES versus CALLS, including the graph of the best fit line. Interpret. 
Determine the equation of the best fit line, which describes the relationship between SALES and CALLS. 
Determine the coefficient of correlation. Interpret. 
Determine the coeff...
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MATH 533•MATH 533
MATH 533 Final Exam 
 
(TCO A) Seventeen salespeople reported the following number of sales calls completed last month. 
(TCO B) Cedar Home Furnishings has collected data on their customers in terms of whether they reside in an urban location. Or a suburban location, as well as rating the customers as either “good,” “borderline,” or “poor.” The data is below 
(TCO B) Historically, 70% of your customers at Rodale Emporium pay for their purchases using credit cards. In a sample of 20 c...
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MATH 533•MATH 533
MATH 533 Final Exam 
 
1. (TCO D) Putting People to Work has a growing business placing out-of-work MBAs. They claim they can place a client in a job in their field in less than 36 weeks. You are ……the following data from a sample. 
Sample size: 100 – Population standard deviation: 5 – Sample mean: 34.2 – Formulate a hypothesis test to evaluate the claim. 
 
2. (TCO B) The Republican party is interested in studying the number of republicans that might vote in a particular congressional...
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MATH 533•MATH 533