Data from an Introductory Statistics Class|
Students in an introductory statistics class were asked to fill out a data sheet, creating the following variables.
Height -- height of the student measured in inches;
Gender -- student's gender (male or female);
Shoes -- the number of pairs of shoes that the student owns;
Number -- the student was asked to choose a number between 1 and 10;
Dvds -- the student was asked how many DVD's did he or she own;
ToSleep -- time (to the nearest half hour) did you go to bed last night?
(this was converted to the number of hours past midnight);
WakeUp -- -- time (to the nearest half hour) did you wake up this morning?
(this was converted to the number of hours past midnight);
NOTE: One can complete the hours of sleep by the computation
HoursSleep = WakeUp - ToSleep;
Haircut -- answer to "How much did you spend on your last haircut (including
Job -- answer to "How many hours do you plan to work on a job per week this
Drink -- answer to "For an evening meal, do you prefer water, soda (pop),
milk?" This was recorded as water, soda, pop, or blank.;
SleeplessInSeattle -- the student was asked to rate the movie "Sleepless in
Seattle" on a scale from 1 to 10. The answer is blank if he or she did not
see the movie.;
Pirates -- the student was asked to rate the movie "Pirates of
the Caribbean" on a scale from 1 to 10. The answer is blank if he or she
did not see the movie.
|yes||bayesball||Apr 13, 2008||67KB||1097|
Teachers were asked to guess at the ages of six people on the basis of photographs. For each teacher, the dataset contains the guesses at the six people, the teacher's gender and age category, and his/her answer to the question "are you a good guesser?"
The actual ages of the six people are: person A is 60, person B is 33, person C is 45, person D is 33, person E is 67, and person F is 28.
|yes||bayesball||Apr 05, 2008||993B||187|
The political leanings of male/female students||yes||smcdanie%sc||Jan 17, 2008||529B||320|
Here is the male/female breakdown of the Spring 2008 stats class.
|yes||smcdanie%sc||Jan 17, 2008||356B||281|
A Random Sample of 300 births from the state of North Carolina. Plurarility refers to the number of children associated with the birth. Gender 1=Male, 2=Female. fage is age of father (years), mage is age of mother (years), visits is number of pre-natal medical visits, marital is 1=married, 2=unmarried, racemom is Race of Mother (0=Other Non-white, 1=White, 2=Black 3=American Indian, 4=Chinese, 5=Japanese, 6=Hawaiian, 7=Filipino, 8=Other Asian or Pacific Islander), hispmom is whether mother is of Hispanic origin (C=Cuban, M=Mexican, N=Non-Hispanic, O=Other and Unknown Hispanic, P=Puerto Rican, S=Central/South American, U=Not Classifiable), gained is weight gain during pregnancy (pounds), lowbw is if birth weight is 2500 grams or lower, tpounds is birthweight in pounds, smoke is 0=no, 1=yes for mother admitted to smoking, mature is 0=no, 1-yes for mother is 35 or older, premie is 0=no, 1=yes to being born 36 weeks or sooner.
|yes||jph422@sc||Nov 05, 2007||11KB||429|
YMS Table 3-3 Brain Size vrs IQ|
Brain size as measured by magnetic resonance imaging (number of pixels in the computer image of the brain scan).. verses intelligence as measured by Wechsler Adult Intelligence Test. 20 volunteers of each gender
|yes||lakestats||Sep 28, 2007||1KB||490|
|Study Time, Gender - Categor. Dataemail@example.com||May 28, 2013||3KB||39|
The data set is collected from my personal facebook page. Descriptive variables contain in my data collection are: First Name, Last Name, Gender, Relationship, Birth Year, Age, Location, Facebook, and Name. The Quantitative data in my collection are Wall Posts: number of times my friends made a post on facebook; # of movie likes; # of music likes; # of tv likes; # of book likes; # of colleges.
|firstname.lastname@example.org||May 02, 2013||104KB||43|
Data for 31 Yellow-Spotted Salamanders, from the Kanda Lab at Ithaca College, Central for Natural Sciences, who were sedated with a solution possessing a ratio of 1 liter distilled water/1 gram Oragel (active ingredient 20% benzocaine), until they showed no signs of movement in reaction to a toe-pinch. The salamanders were then rinsed with distilled water, and then a PIT-tag was surgically inserted into the ventral abdominal region, in between the dermis and epidermis tissue layers. Mass and lengths (total length and Snout-Vent Length) were then recorded, and following the salamanders were placed into a Tupperware container surrounded by moist paper towels. At that point, the salamanders were then observed for both 'heads-up' movement and complete recovery (body movement and 'normal behavior'), and the time until these took place was recorded. The variables include Gender, Total Length (cm), Snout-Vent Length [The measurement is from the tip of the nose (snout) to the anus (vent), and excludes the tail] (cm), Mass (g), and Recovery Time (minutes).
|email@example.com||Apr 30, 2013||854B||14|
|Facebook data set|
My data set was derived from my facebook friends. There are several variables, some quantitative, and some qualitative. Quantitative variables are as follows: photos (number of photos the user has), likes ( number of likes the user has), friends ( number of friends the user has), and mutual friends (number of mutual friends that the user and I have in common). Qualitative variables are as follows: First name, last name, and gender.
|yes||jimmyseaywat||Apr 29, 2013||3KB||56|
The data I collected involved 10 of my coworkers. 6 are african american and 4 are caucasian. My experiement is described below:
Choose two categories A and B based on either race or gender. Select 10 photographs of Category A people and 10 photographs of Category B people. These should not be pictures of celebrities or anyone else that your subjects will recognize. Show each subject 5 of the A pictures and 5 of the B pictures mixed together. Then show each subject all 20 pictures and ask them to select the 10 pictures that they had been shown previously. Compare the accuracy of subjects who are in Category A with the accuracy of subjects who are in Category B.
|firstname.lastname@example.org||Apr 21, 2013||155B||2|
|Responses to Level of Education and Employment (Gender vs Income)||email@example.com||Apr 03, 2013||3KB||15|
|Test scores segregated Gender Teacherfirstname.lastname@example.org||Mar 11, 2013||438B||133|
|Data Collections 2.25.13.xlsx|
These are the top 100 users with the most Twitter followers.The site is updated daily; this information is from 2/24/13. The qualitative data are eye color and gender of each 100; the quantitative data are number of followers and number of tweets.
|email@example.com||Mar 08, 2013||5KB||9|
|Data Collection 2.25.13.xlsx|
These are the top 100 users with the most Twitter followers.The site is updated daily; this information is from 2/24/13. The qualitative data are name and gender of each 100; the quantitative data are number of followers and number of tweets.
|firstname.lastname@example.org||Mar 05, 2013||4KB||24|