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phil_larson
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instructor
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GREENVILLE TECHNICAL COLL
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Showing 1 to 23 of 23 data sets
Data Set/Description Owner Last edited Size Views
Breast Cancer
Datafile Name: Breast Cancer Datafile Subjects: Health , Medical Story Names: Breast cancer Reference: A.J. Lea. (1965). New Observations on Distribution of Neoplasms of Female Breast in Certain Countries. British Medical Journal, 1, 488-490. Text Citation: Velleman, P. F. and Hoaglin, D. C. (1981). Applications, Basics, and Computing of Exploratory Data Analysis. Belmont. CA: Wadsworth, Inc., pp. 127-134. Authorization: free use Description: Data contains the mean annual temperature (in degrees F) and Mortality Index for neoplasms of the female breast. Data were taken from certain regions of Great Britain, Norway, and Sweden. Number of cases: 16 Variable Names: Mortality: Mortality index for neoplasms of the female breast Temperature: Mean annual temperature (in degrees F) In the early 1960s, data were collected from official statistics registers of Great Britain, Norway and Sweden on breast cancer mortality. Death rates for neoplasms of the breast were calculated for various age groups and for certain areas at the same latitude. Age-specific death rates were then calculated for each area and converted to a mortality index using 100 as the age-specific rate for all of England and Wales. The mean annual temperatures at various latitudes under study were obtained from the British Meteorological Office.
phil_larsonDec 2, 2015187B2314
SLR: 400m dash
2012 Kirani James Winning time 43.94 Grenada
phil_larsonNov 24, 2015801B320
Regression: Cigarettes Lung Kidney Leukemia Bladder
"Cigarette smoking and cancers of the urinary tract: Geographic variation in the United States" Journal of the National Cancer Institute (vol. 41, no. 5, November, 1968), pp. 1205-1211; table from pp. 1206-1207. Joseph F. Fraumeni, Jr. Oxford University Press Units: cigarettes sold per capita, cancer deaths per 100,000
phil_larsonSep 22, 20132KB3665
Sullivan_SIDUD4_04_Table_1 Golf clubsphil_larsonSep 22, 2013146B526
Sullivan_SIDUD4_04_Table_4 Colas Bone Density
Based on data obtained from Katherine L. Tucker et. al., "Colas, but not other carbonated beverages, are associated with low bone mineral density in older women: The Framingham Osteoporosis Study." American Journal of Clinical Nutrition 2006, 84:936-942.
phil_larsonSep 22, 2013224B564
Sullivan_SIDUD4_2_2_31phil_larsonAug 28, 2013334B99
Sullivan_SIDUD4_2_3_19phil_larsonAug 28, 2013259B55
50 States data
Data from government sites: U.S. Census Bureau for population, and U.S. Bureau of Economic Analysis for personal income
phil_larsonAug 28, 20132KB2039
Comparing two drugs
The basic practice of statistics: instructor's edition. David S. Moore - William Notz - Michael A. Fligner - R. Scott Linder - W.H. Freeman and Co. – 2013 (p. 462) 18.50 Comparing two drugs. Makers of generic drugs must show that they do not differ significantly from the “reference” drugs that they imitate. One aspect in which drugs might differ is their extent of absorption in the blood. Table 18.6 gives data taken from 20 healthy nonsmoking male subjects for one pair of drugs. This is a matched pairs design. Numbers 1 to 20 were assigned at random to the subjects. Subjects 1 to 10 received the generic drug first, followed by the reference drug. Subjects 11 to 20 received the reference drug first, followed by the generic drug. In all cases, a washout period separated the two drugs so that the first had disappeared from the blood before the subject took the second. By randomizing the order, we eliminate the order in which the drugs were administered from being confounded with the difference in the absorption in the blood. Do the drugs differ significantly in the amount absorbed in the blood? Table 18.6 Absorption extent for two versions of a drug
phil_larsonApr 9, 2013290B1681
Sullivan_SIDUD4_9_Ex1-4phil_larsonMar 26, 201363B59
Sullivan_SIDUD4_9_2_38phil_larsonMar 26, 201354B48
Sullivan_SIDUD4_7_3_10phil_larsonMar 26, 2013125B45
Sullivan_SIDUD4_7_3_9phil_larsonMar 26, 2013216B42
Sullivan_SIDUD4_04_01_37 Anscombephil_larsonFeb 5, 2013348B99
Sullivan_SIDUD4_04_01_38 Baseball predictionphil_larsonFeb 5, 2013691B93
Sullivan_SIDUS4_03_05_17.txt Paternal smoking
Birth weight of babies (in grams)
phil_larsonJan 24, 2013319B255
Sullivan_SIDUD4_03_04_28.txt Entertainment spending
40 randomly selected full-time Joliet Junior College students, Fall, 2010, in dollars
phil_larsonJan 24, 2013149B109
Sullivan_SIDUD4_03_05_15.txt Dissolving vitamins
time (in minutes) for a vitamin tablet to dissolve in vinegar (to approximate acidity of the stomach)
phil_larsonJan 24, 2013312B85
Sullivan_SIDUD4_03_05_12a.txtphil_larsonJan 24, 2013161B71
Sullivan_SIDUD4_03_04_22.txt Hemoglobin in cats
hemoglobin (in g/dL) for 20 randomly selected cats
phil_larsonJan 24, 201395B247
Violent Crimes by State
http://www.census.gov/statab/ranks/rank21.html State Rankings -- Statistical Abstract of the United States VIOLENT CRIMES 1 PER 100,000 POPULATION -- 2006 [When states share the same rank, the next lower rank is omitted. Because of rounded data, states may have identical values shown, but different ranks. Cautionary note] Cautionary note about rankings The ranks in some tables are based on estimates derived from a sample(s). Because of sampling and nonsampling errors associated with the estimates, the ranking of the estimates does not necessarily reflect the correct ranking of the unknown true values. Thus, caution should be used when making inferences or statements about the states' true values based on a ranking of the estimates. As an example, the estimated total (average, percent, ratio, etc.) for State A may be larger than the estimates for all other states. This does not necessarily mean that the true total (average, percent, ratio, etc.) for State A is larger than those for all other states. Such an inference typically depends on --among other factors-- the size of the difference(s) between the estimates in question, and the size of their associated standard errors. In other tables, the ranks are based on a complete enumeration of the target population, or on complete administrative reporting from the population. In such cases, sampling is not used, and there is no sampling error component in the estimates. Still, care should still be taken when making inferences or statements based on the rankings. The table values may still exhibit nonsampling error originating from such sources as coverage problems (missing units or duplicates), nonresponse, misreporting, and others. Last Revised: September 27, 2011 at 09:43:17 AM
phil_larsonJan 16, 2013881B3461
1st: helium football
Datafile Name: Helium football Datafile Subjects: Sports Story Names: Helium football Reference: Lafferty, M. B. (1993), "OSU scientists get a kick out of sports controversy, "The Columbus Dispatch (November, 21, 1993), B7. Authorization: Contact authors Description: Two identical footballs, one air-filled and one helium-filled, were used outdoors on a windless day at The Ohio State University's athletic complex. Each football was kicked 39 times and the two footballs were alternated with each kick. The experimenter recorded the distance traveled by each ball. Number of cases: 39 Variable Names: Trial: Trial Number Air: distance in yards for air-filled football Helium: distance in yards for helium-filled football
phil_larsonSep 13, 2012359B1115
SLR: alligator dimensions
p. 518 in Richard L Scheaffer, James T. McClave Probability and Statistics for Engineers (4th ed.) Belmont, California: Duxbury Press (1995) Found originally in the Australian site. Originally from the Florida Game and Freshwater Fish Commission but I can't find their source. Length in inches? Weight in lbs.?
phil_larsonSep 13, 2012174B1135

 

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