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1. A researcher was interested lowering the high school dropout level in his county. He measured the reading level of students entering middle school (based on a standard test) and their academic performance at the end of 10th grade (as measured by overall GPA).
Use the following data to:
A. Compute a correlation coefficient using Excel.
B. Create a scatter plot using Excel.
C. Determine the coefficient of determination. Explain what it tells you.
D. Explain in words what the correlation coefficient tells you about the relationship between reading level when entering middle school and 10th grade academic performance as measured by GPA.
E. What does it not tell you?
Student Reading Level Score GPA
1 100 3.0
2 110 2.95
3 80 2.00
4 75 2.10
5 91 2.00
6 124 3.80
7 95 2.40
8 82 3.00
9 104 3.10
10 95 2.20
11 88 2.24
12 95 3.00
13 107 3.45
14 112 3.11
FUNCTION SIMPLE AGGREGATIVE, SIMPLE RELATIVE
Q. Example of inference? Ans. Thirty students from a college were surveyed and classified according to two variables: (1) gender (M/F) and (2) major (liberal arts, busines
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1) Define and explain the following: i) Ordering cost ii) Safety stock iii) Re-order point 2) Profit Volume Chart. 3) Discuss the various techniques of financial statement analysis
Use the concepts of sampling error and z scores to explain the concept of distribution of sample means.
#This is a chance to perhaps incorporate some of your experience, interests, and career business/management goals and ambitions within the context of an individual project paper.
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