| Data Set/Description |
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May 4 negative control.xls
Negative controls | yes | idiobrett | May 05, 2009 | 168B | 3 | May 4 FokI.xls
FokI optimized | yes | idiobrett | May 05, 2009 | 156B | 4 | May 4 BpmI.xls
BpmI optimized | yes | idiobrett | May 05, 2009 | 196B | 3 | May 4 AvaII.xls
AvaII optimized | yes | idiobrett | May 05, 2009 | 163B | 5 | 5900 Lab Report 3 Fragment Lengths.xls
This data was gathered from cutting up genomic mouse DNA with six different restriction enzymes, subjecting them to PCR using primers for the Fgd2 gene. | yes | idiobrett | May 03, 2009 | 2KB | 14 | | SAT by state 06.xls | yes | mystatlab1 | Mar 30, 2009 | 1KB | 37 | | Labor Force Part 2 | yes | statcrunch | Mar 12, 2009 | 267B | 21 | domviol.xls
This data was a pilot study of health outcomes related to domestic violence. Women from domestic violence shelters were asked about the severity of symptoms experienced in the last year. Women who were not abused were often workers at domestic violence shelters. The severity of the emotional, sexual, and physical violence was categorized into four groups 0 - no abuse, 1=least abuse, 2=middle level, and 3 = most. Abused is a dummy for whether abuse occurred. The main outcome variables are dummy variables for whether the woman experienced the health malady often in the last year. sxllhead=severe headaches, sxlinsom=insomnia, sxlchest=chest pain, sxlpelv=pelvic pain, sxlstom=stomach pain, sxlchok=sensation of choking, sxlbrea=shortness of breath,sxlvag=vaginal infection, sxlfat = fatigue. The women were age 18 - 48. Age25-34 is a dummy variable for age 25-34 and age35p is a dummy for ages 35 - 48. The variables least, middle, and most are dummy variables for level of violence. [Note: there are no easy labels for severity of violence. The label "Least" in no way implies that such a level is not important nor does it imply that there are no serious negative consequences on the life of the women experiencing the violence.] Creating contingency tables of abuse status vs. the health maladies is excellent practice for conditional probability and calculating a prevalence ratio to compare the two probabilities.
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