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Showing 76 to 90 of 265 data sets matching LAB
Data Set/Description Share Owner Last edited Size Views
May 4 negative control.xls
Negative controls
yesidiobrettMay 05, 2009168B3
May 4 FokI.xls
FokI optimized
yesidiobrettMay 05, 2009156B4
May 4 BpmI.xls
BpmI optimized
yesidiobrettMay 05, 2009196B3
May 4 AvaII.xls
AvaII optimized
yesidiobrettMay 05, 2009163B5
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.
yesidiobrettMay 03, 20092KB14
SAT by state 06.xlsyesmystatlab1Mar 30, 20091KB37
Labor Force Part 2yesstatcrunchMar 12, 2009267B21
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
Lab 2 Stand DeviationyesariadnipapanaJan 27, 2009148B47
STARTING SALARIES.txtyesyupingwuNov 11, 2008193B34
Reading.txtyesyupingwuNov 11, 2008301B12
DIETSTUDY.txtyesyupingwuNov 11, 20083KB25
DRP Scores.txtyesyupingwuNov 11, 20081.001B18
Helium football.txtyesyupingwuNov 11, 20081KB20
IronTemp.txtyesyupingwuNov 11, 2008140B12

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