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Data Set/Description Owner Last edited Size Views
Jealousy file.xlsx
Do men and women differ in jealousy about their romantic partners? Research by Buss, Larsen, Westen, and Semmelroth (Exp. 1, 1992) suggested that the answer is yes. In that study, heterosexual men and women in the United States imagined their romantic partners engaged in emotional or sexual affairs with another person, and then indicated which scenario would be more upsetting to them. Men reported being more distressed when imagining their partners involved in sexual infidelity, whereas women were more distressed when they imagined their partners involved in emotional infidelity. Buss et al. concluded that their findings supported their hypotheses, which were derived from evolutionary theory. Subsequent research either supported the Buss et al. (1992) findings or found limitations to their conclusions (Harris, 2003). For example, although Buss et al. used a forced-choice method in their study (e.g., “Which of these two scenarios is more upsetting?”), others have not found such clear sex differences when rating scales are used instead (DeSteno, Bartlett, Braverman, & Salvoes, 2002). In addition, cultural differences have also been found. For example, European and Asian men are more likely to choose emotional infidelity as worse, compared to American men (Harris, 2004). The purpose of this study was to see if (a) we would replicate the original Buss et al. (1992) findings using an Australian sample in 2015, and (b) whether asking participants to rate their feelings would reveal the same sex differences that were reported in the original work. We therefore had separate hypotheses regarding the differences between men and women with respect to emotional infidelity and sexual infidelity. 7, 20177KB407
Shark Attacks Worldwide
This data comes from It records data on all shark attacks in recorded history including attacks before 1800. Included is all known information on the shark attack including the date, location, information on the individual who was attacked, details on the injuries sustained by the victim, and the species of the shark
frompearsonbooksJun 20, 20161MB1000
Responses to Organic Food
Responses to this survey were collected over the Fall of 2015. Respondents stated whether or not they had a preference for organic food, their age and their sex.
scsurveyNov 25, 201573KB2817
US Smoking
This data set presents three-year annual average estimates of smoking status by age, sex, state, and race/ethnicity beginning with the period 1997-1999. These estimates are presented as three- year annual averages to obtain stable estimates.
websterwestJul 17, 20085KB4490
Driver Data for Traffic Tickets
These data are from a survey of traffic violations. Female: 0 = Male, 1 = Female; Had Ticket: 0 = No, 1 = Yes; Tickets = Number of tickets received in life; Warnings = Number of warnings (i.e., pulled over but no ticket) in life.
qtpie1480Dec 2, 20104KB1093
HeartAttack Data from 1993
Heart Attack Patients This set of data is all of the hospital discharges in New York State with an admitting diagnosis of an Acute Myocardial Infarction (AMI), also called a heart attack, who did not have surgery, in the year 1993. There are 12,844 cases. AGE gives age in years SEX is coded M for males F for females DIAGNOSIS is in the form of an International Classification of Diseases, 9th Edition, Clinical Modification code. These tell which part of the heart was affected. DRG is the Diagnosis Related Group. It groups together patients with similar management. In this data set there are just three different drgs. 121 for AMIs with cardiovascular complications who did not die. 122 for AMIs without cardiovascular complications who did not die. 123 for AMIs where the patient died. LOS gives the hospital length of stay in days. DIED has a 1 for patients who died in hospital and a 0 otherwise. CHARGES gives the total hospital charges in dollars. The SEX1 column converts F/M to 0/1 Data provided by Health Process Management of Doylestown, PA.
cdcummings12Aug 23, 2009412KB1693
WHO Health Data v4.xlsx
Country Country, Region WHO_region, AlcConsumption Total (recorded + unrecorded) adult (15+ years) per capita consumption projected estimates for 2008_2008 BAC_limit Blood Alcohol Concentration (BAC) limit for drivers - general - 2011, bednet Women that slept under a bednet last night (%), bednet_yr bednet Year, drinkWater_R Population using improved drinking-water sources (%)_Rural_2011, drinkWater_U Population using improved drinking-water sources (%)_Urban_2011, healthcenters Total density per 100 000 population: Health centres, healthposts Total density per 100 000 population: Health posts, Hiv_AidsDeaths Deaths due to HIV/AIDS (per 100 000 population)_2011, HivAdults Prevalence of HIV among adults aged 15 to 49 (%)_2011, hospital_yr hospital Year of data collection, hospitals Total density per 100 000 population: Hospitals, LifeExp_60_F Life expectancy at age 60 (years)_Female_2011, LifeExp_60_M Life expectancy at age 60 (years)_Male_2011, LifeExp_Birth_F Life expectancy at birth (years)_Female_2011, LifeExp_Birth_M Life expectancy at birth (years)_Male_2011, NumRegVehicles Number of Registered Vehicles Nursing_Midwives, Nursing_and_midwifery_personnel_density__per_1000_population_, Physicians Physicians_density__per_1000_population_, pollution Outdoor air pollution (Annual PM10 [ug/m3]), polYear Year, RegVehYear Year, rural_hosp Total density per 100 000 population: District/rural hospitals, sanFacility_R Population using improved sanitation facilities (%)_Rural_2011, sanFacility_U Population using improved sanitation facilities (%)_Urban_2011, seat_belt_drivers Seat-belt wearing rate (%) Driver only_2011, sex_work_syph Sex workers with active syphilis (%), sex_work_syph_yr sex_work_syph Year of data collection, spec_hosp Total density per 100 000 population: Specialized hospitals, Tobacco_S_F Current smoking of any tobacco product (age-standardized rate)_Female_2009, Tobacco_S_M Current smoking of any tobacco product (age-standardized rate)_Male_2009, Tobacco_Y_F Current users of any tobacco product (youth rate)_Female_2010, Tobacco_Y_M Current users of any tobacco product (youth rate)_Male_2010, TrafDeathRate Estimated road traffic death rate (per 100 000 population)_2010, TrafDeaths Estimated number of road traffic deaths _2010, UVradiation UV radiation_2004.
swhardyDec 6, 201531KB3541
Responses to Retirement Age
Respondents to this StatCrunch survey were asked to provide their estimate of the age at which one should consider retirement, their current age and their sex.
scsurveyAug 28, 201529KB1786
Stop And Frisk Data For January 2012
This data set contains information on the 69,073 stops made under the Stop And Frisk policy of the New York City police department in January of 2012. For the detainee, the variables include Sex (0 - female, 1- male), Race (1 - black, 2- black Hispanic, 3- white Hispanic, 4- white, 5 - Asian/Pacific Islander, 6 - American Indian), Age, Height and Weight. Note that Age, Height and Weight may be subject to coding errors based on some of the more extreme values. Other variables in the data set are FriskOrSearch (0 - if the stop did not result in either frisk or search, 1- otherwise), FoundSomething (0 - if the detainee was not found to have either contraband or weapons, 1 - otherwise) and ArrestMade (0 - if no arrest was made, 1 - otherwise).
websterwestAug 27, 20131MB3356
The following explains the variables in the data: sex: Gender of the individual in the photo age: Age of the individual in the photo perceived intelligence (ALL): Mean z-score of the perceived intelligence of all 160 raters perceived intelligence (WOMEN): Mean z-score of the perceived intelligence of the female raters perceived intelligence (MEN): Mean z-score of the perceived intelligence of the male raters attractiveness (ALL): Mean z-score of the attractiveness rating of all160 raters attractiveness (MEN): Mean z-score of the attractiveness rating of the male raters attractiveness (WOMEN): Mean z-score of the attractiveness rating of the female raters IQ: Intelligence quotient based on the Czech version of Intelligence Structure Test
msullivan13803Jul 14, 20145KB899
Pulse Data
These data come from an in-class activity in a college introductory statistics class. Some general data was collected for each student, and then each student was asked to flip a coin. Those whose coin came up heads were asked to run in place for a minute or so. All students measured their own pulse rate both before and after the running activity took place. Note that the two measurements were made on those who ran and on those who did not. In addition to the pulse rate before and after the running took place, the data record whether each student ran or not, whether they smoked, their sex, height (in inches), weight (in pounds) and activity level. This last is coded 1. low 2. moderate 3. high
cdcummings12Oct 20, 20093KB880
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.
jph422@scOct 15, 20086KB670
Titanic Passenger List
VARIABLE DESCRIPTIONS: survival Survival (0 = No; 1 = Yes), pclass Passenger Class (1 = 1st; 2 = 2nd; 3 = 3rd), name Name, sex Sex, age Age, sibsp Number of Siblings/Spouses Aboard, parch Number of Parents/Children Aboard, ticket Ticket Number, fare Passenger Fare, cabin Cabin, embarked Port of Embarkation (C = Cherbourg; Q = Queenstown; S = Southampton), boat Lifeboat, body Body Identification Number home.dest Home/Destination.
lmcmath34Jun 29, 2016123KB825
Percent of Adult Current Smokers by Sex and Race/Ethnicity, 1995-2010
The original data comes from the U.S. Department of Health and Human Services Cited from the source: Adults are defined as 18 years of age and older. The CDC defines a "Current Smoker" as an adult who has smoked at least 100 cigarettes (5 packs) in their lifetime and currently smokes either "Every Day" or "Some Days." BRFSS data methodology changed in 2011; therefore, 2011 and after is not comparable to 2010 data and before.
statcrunchhelpMar 9, 20161KB609
Responses to Vaccinations Survey
Respondents provided their opinion on whether or not parents should be required to vaccinate their children. Respondents also stated whether or not they currently have children, their sex and their age.
scsurveyMar 7, 201532KB603

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