Data sets shared by StatCrunch members
Showing 1 to 15 of 105 data sets matching SCORES
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BSTAT 3321 Final Exam Scores
This is final exam scores from a past BSTAT 3321 exam. | yes | craig_slinkman | Aug 21, 2010 | 513B | 45 |
Seating Choice versus GPA (Stacked & Split Columns for Front & Back Rows)
This dataset contains hypothetical (I believe) data on GPA for students who sit in the front and back row of a classroom. The data are shown in several ways: (a) two separate columns (one for the front row GPA and another or the back row GPA); (b) stacked with one column to indicate front or back row and another column with the GPAs; and (c) the row column repeated as a 0/1 indicator variable.
This dataset is useful for comparing the different ways that StatCrunch can compare the means of two groups: (a) The two columns of scores (front and back) can be used in the 2-sample t-test or a one-way ANOVA; (b) the stacked text column (front/back) with a separate column for GPA can also be used for one-way ANOVA; and (c) the 0/1 indicator column and stacked GPAs can be used with correlation and regression. Every procedure gives the same p-value and same conclusion, thus highlighting the similarity of statistical procedures and StatCrunch's flexibility. | yes | bartonpoulson | Apr 08, 2010 | 465B | 110 |
Credit Scores.xlsx
This file has two variables:
Performing
A value of 0 indicates that the loan is not a performing loan and that the borrower is either behind payments or is in default.
A value of 1 indicates that the borrower is in good standing.
Credit_Score
Is the borrower's credit score at the time the loan was given.
| yes | craig_slinkman | Apr 02, 2010 | 5KB | 42 |
Crediit Scores.xlsx | yes | craig_slinkman | Mar 17, 2010 | 10KB | 60 |
LCCC-Refusals in Lending
I found it interesting that minority groups almost always have a higher rejection rate on lending. However, this study also does not show any other information about the borrowers. There is no average credit scores. Along with other factors that lenders take into consideration when looking at borrowers. It shows the banks are more likely to lend to whites, but maybe that is not the case. Maybe the the minorities had too low of income or credit scores for what they want to borrow. From this study you cannot tell way the rejection rates are so high for minorities because there is no enough to work off of. | yes | cmay5660 | Jan 23, 2010 | 614B | 41 |
z-scores example
Z-scores to show outliers | yes | bonehs | Apr 08, 2009 | 303B | 100 |
Average scores for various countries on the TIMSS 8th grade math assessment | yes | websterwest | Apr 01, 2009 | 755B | 162 |
SAT Scores | yes | statcrunch | Mar 12, 2009 | 2KB | 167 |
SAT Scores | yes | statcrunch | Mar 12, 2009 | 2KB | 55 |
FICO Credit Rating Scores | yes | statcrunch | Mar 12, 2009 | 498B | 10 |
Math Scores | yes | statcrunch | Feb 26, 2009 | 125B | 53 |
IQ Comparison
The data is about the IQ's with respect to the various occupations,and GRE Scores. The data was collected from the IQ Comparison website.The IQ's range ( i.e Lower limit and Upper limit) for various occupation was given. The mean IQ for each of the occupation was taken and was tabulated. The IQ's with respect to the GRE scores was also tabulated. | yes | patel.sunil | Nov 29, 2008 | 664B | 294 |
ExamScores | yes | psuskp | May 10, 2008 | 263B | 161 |
test.scores.xls
Hypothetical test scores for a class of 200 students. | yes | bayesball | May 02, 2008 | 608B | 323 |
YMS Table 1.15
This is data on the VERBAL and MATH SAT average scores by State with additional demographic data on HS diploma rates, educational funding, etc | yes | lakestats | Sep 27, 2007 | 2KB | 191 |
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