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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 scatterplot 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
In recent years a number of calculators are available for doing statistical calculations over and above the usual addition, subtraction, multiplication and division. The fx-82 mode
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Measures of Dispersion Box 3: Food vs. Oil Below are the figures for foodgrain procurement and cr
Differentiate between data and database
Correspondence Analysis (CA) is a generalization of PCA to contingency tables. The factors of correspondence analysis give an orthogonal decomposi:ion of the Chi- square associated
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For each of the following scenarios, explain how graph theory could be used to model the problem described and what a solution to the problem corresponds to in your graph model.
MARKS IN LAW :10 11 10 11 11 14 12 12 13 10 MARKS IN STATISTICS :20 21 22 21 23 23 22 21 24 23 MARKS IN LAW:13 12 11 12 10 14 14 12 13 10 MARKS IN STATISTICS:24 23 22 23 22 22 24 2
application of chi square test in civil engineering
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