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Created: Apr 13, 2015
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Analysis of Test Scores Part 2
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A. An interestering observation I can draw from the stem and leaf plot is that if you were to sketch the shape of the distribution it has a bell shape, with most of the scores in the 80's.

B. A conclusion I see from observing the boxplot are the numbers that create the five number summary:     min=55, Q1=73, Q2=87.5, Q3=93, and the max+100.

C. When calculating r it is equal to -0.296=l0.296l. Next, looking at the Table A-6, the critical value is 0.361 with a n=30 and an alpha at 0.05. Therefore, there is no correlation between the test scores and classifications because the critical value is greater than the calculated r. 

Result 1: Stem and Leaf Test Scores   [Info]
Variable: Test Scores

Decimal point is 1 digit(s) to the right of the colon.
Leaf unit = 1
 5 : 5555
 6 : 2
 6 : 55
 7 : 333
 7 : 699
 8 : 
 8 : 778888999
 9 : 33
 9 : 599
10 : 000

Result 2: Boxplot Test Scores   [Info]
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Result 3: Regression Test Scores by Class   [Info]
Simple linear regression results:
Dependent Variable: Test Scores
Independent Variable: Class
Test Scores = 91.568233 - 3.5637584 Class
Sample size: 30
R (correlation coefficient) = -0.29609415
R-sq = 0.087671748
Estimate of error standard deviation: 14.525421

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept91.5682336.8358506 ≠ 02813.395295<0.0001
Slope-3.56375842.1725759 ≠ 028-1.64033780.1121

Analysis of variance table for regression model:

Data set 1. Test Scores by Class   [Info]
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Data set 2. Test Scores by Class (Numeric)   [Info]
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HTML link:
<A href="">Analysis of Test Scores Part 2</A>

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