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Showing 31 to 45 of 138 data sets matching DIE
Data Set/Description Share Owner Last edited Size Views
diet
diet data, problem 8.30
yesshulmasa@ucmail.uc.eduApr 25, 201165B6
50 die rollyesajwolthuizenSep 24, 2010105B14
50 Die Rollsyesmroar123Sep 24, 2010105B9
Project DatayeskadiercarrollApr 19, 2010407B13
300 Die Rolls Histogramyessherblueberry84Feb 08, 20103KB14
Preliminaries DatayeskadiercarrollJan 25, 201027B5
M&M Candiesyespink4uNov 28, 200961B129
Diamonds.xlsyeseddie3macApr 29, 20096KB50
Weights of a Sample of M&M Plain CandiesyesstatcrunchMar 12, 2009697B62
Corn ProductionyesstatcrunchFeb 26, 2009151B7
Soybean YieldyesstatcrunchFeb 26, 2009186B6
Diet and Birth WeightyesstatcrunchFeb 26, 2009281B33
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.
yesariadnipapanaFeb 13, 20096KB57
Die Rollsyesemeyer11168Feb 12, 200972B15
Physicians' Raw Data Stcyesdebinna@gmail.comFeb 08, 2009246B19

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