
Data sets shared by StatCrunch members
Showing 1 to 15 of 562 data sets matching EXERCISE
Data Set/Description 
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Happiness vs Sleep/Exercise
High School students. Sleep: average hours per night. Exercise: Average hours in typical week. Happiness: Scale 15 where 1 is extremely unhappy.  mastersond  Oct 4, 2018  371B  1470 
Oscar nominations
The data set contains the year, category, nominee and whether they won for all academy award nominations from 1927 through 2006. A good exercise is to use StatCrunch to compute the number of nominations for each actress in the ACTRESS (all caps) category along with the first and last year they were nominated.  websterwest  Mar 10, 2008  450KB  2777 
Responses to physical fitness survey
This data set represents the results of StatCrunch survey administered between September 22nd, 2009 and October 2nd, 2009. Respondents provided the number of hours per week (Hours) that they exercise each week and the number of days per week (Days) that they exercise. Respondents also stated whether or not they were gym members (Gym), the type of exercise they do (Type  Cardio, Strength, Both or Neither), their age (Age) and their gender (Gender).  statcrunch  Oct 2, 2009  4KB  3630 
Survey on Exercise
 Value Key
2 Yes
1 No
2 Male
1 Female
1Aesthetics
2Fitness
3Fun
4Healthy
5Hobby
6Medical
7No Motivation
8Mental Motional
9Requirement
10Social
11Time
1Cardio
2Combination
3None
4Resistance
5yoga / Pilates
Source of information on exercise.
1Doctor
2Friend or family
3Media
4N/A
5professional
6text
7school
8trainer
1
2.51 years
3 <.5 years
412 years
5 2+ years
1=0
2=12
3=34
4=5+
1=0
2 < 30 minutes
3. 3160
4 6190
5 > 90
Source of information on exercise.
1Doctor
2Friend or family
3Media
4N/A
5professional
6text
7school
8trainer
 jramirez514  May 18, 2013  3KB  2102 
Body Image Data Set
A student survey was conducted at a major university. Data were collected from a random sample of 239 undergraduate students, and the information that was collected included physical characteristics (such as height, handedness, etc.), study habits, academic performance and attitudes, and social behaviors. In this exercise, we will focus on exploring relationships between some of those variables. Note that empty boxes signify that this observation is not available (this is known as a 'missing value').Variables:
Variables
Gender  Male or Female
Height  Selfreported height (in inches)
GPA  Student's cumulative college GPA
HS_GPA  Student's high school GPA (senior year)
Seat  Typical classroom seat location (F = Front, M = Middle, B = Back)
WtFeel  Does the student feel that he/she is: Underweight, About Right, Overweight
Cheat  Would the tell the instructor if he/she saw somebody cheating on exam? (No or Yes)
 stjohn314  Apr 8, 2018  10KB  2323 
Cell Phone OLI
Math Math SAT score Verbal Verbal SAT score Credits Number of credits the student is registered for Year Year in college (1=Freshman, 2=Sophomore, 3=Junior, 4=Senior) Exer Time (in minutes) spent exercising in a typical day Sleep Time (in hours) spent sleeping in a typical day Veg Are you a vegetarian (yes, no, some) Cell Do you own a cell phone (yes, no) Cell Phones College students at a large state university completed a survey about their academic and personal life. Questions ranged from "How many credits are you registered for this semester?" to "Would you define yourself as a vegetarian?" Four sections of an introductory statistics course were chosen at random from all the sections of introductory statistics courses offered at the university in the semester when the survey was conducted, and the 312 students who completed the survey were students registered in one of the four chosen sections. In this exercise, we will use a subset of variables from the survey and use the collected data to answer three questions. Note that (1) these are real data, and (2) the symbol * in the worksheet means that this observation is not available (this is known as a "missing value").  corp_richard  May 2, 2016  8KB  1135 
Fitness
This data set represents the results of StatCrunch survey administered between September 22nd, 2009 and October 2nd, 2009. Respondents provided the number of hours per week (Hours) that they exercise each week and the number of days per week (Days) that they exercise. Respondents also stated whether or not they were gym members (Gym), the type of exercise they do (Type  Cardio, Strength, Both or Neither), their age (Age) and their gender (Gender).  amelia657  Jan 31, 2010  4KB  4053 
Final Stats Project
I set out to see if age or gender were factors in the average amount of exercise people participated in per week.  haleymcsweeney  May 15, 2010  195B  1262 
Body Image Data Set
A student survey was conducted at a major university. Data were collected from a random sample of 239 undergraduate students, and the information that was collected included physical characteristics (such as height, handedness, etc.), study habits, academic performance and attitudes, and social behaviors. In this exercise, we will focus on exploring relationships between some of those variables. Note that empty boxes signify that this observation is not available (this is known as a 'missing value').Variables:
Variables
Gender  Male or Female
Height  Selfreported height (in inches)
GPA  Student's cumulative college GPA
HS_GPA  Student's high school GPA (senior year)
Seat  Typical classroom seat location (F = Front, M = Middle, B = Back)
WtFeel  Does the student feel that he/she is: Underweight, About Right, Overweight
Cheat  Would the tell the instructor if he/she saw somebody cheating on exam? (No or Yes)
 33225049_ecollege_sacmlp  Jul 1, 2015  7KB  7310 
Baseball data for correlation and regression
This table shows the total number of runs scored, at bats, hits, etc for each of the 30 MLB teams for the 20092011 seasons.
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Correlations and linear regression models can be calculated between the different numeric variables. A good exercise is to see which variables correlate most strongly with runs_scored.
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As emphasized in the movie Moneyball, some of the classic metrics such as batting_avg is not as good as the newer metrics like OBP (on base percentage), SLG (slugging percentage), or OPS (on base plus slugging).
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A guide to a few of the variables that may not be self explanatory.
Runs_Scored: The total of all runs (points) the baseball team scored by the end of the season.
Batting_avg: This is equal to the number of hits divided by at_bats
OBP: On Base Percentage. Similar to batting average, except that it takes into account walks and hitbypitch. Some players who don't have high batting averages, manage to get walked quite frequently.
SLG: Slugging  This weights hits to first base as 1 point, hits to second base as 2 points, third as 3, homeruns as 4, and divides the total by the number of at bats.
OPS  On Base Plus Slugging  this is just OBP added to the SLG numbers.  mileschen  Apr 17, 2012  6KB  3741 
Project Data
This data encompasses the results of surveying 50 of my women friends, who exercise regularly, in order to determine the average resting heartrate of females who exercise regularly. I define exercising "regularly" as doing a set aside workout of at least 20 minutes, at least 4 times a week. For my research I stayed within an age group range of females ages 1822 years old.  jjindrich0127  Jul 15, 2010  1KB  1949 
ExerciseHours.csv
Fifty students were asked how many hours a week they exercise and the results of recorded in the Exercise Hours dataset . In addition to the exercise information, other demographic and lifestyle variables were collected. You can find these data ExerciseHours.csv under the “Data” folder at the top of Moodle.
There are 7 variables in the dataset:
• Year: Year in school (Freshman, sophomore, junior, senior)
• Gender: Student’s gender (male or female)
• Hand: Whether student is predominantly lefthanded (l) or righthanded (r)
• Exercise: Hours of exercise per week
• TV: Hours of TV viewing per week
• Pulse: Pulse rate (beats per minute)
• Pierces: Number of body piercings
 sigue006  Jun 20, 2016  897B  2838 
Island results
Sarah Entinger Island Project data. How does exercise affect mood in teenagers. Specifically will running 1 km produce a higher rating of mood.  srhsrd  Oct 23, 2013  243B  448 
ECO252: Dataset for boston and vermonth shingle companyv1.xls
Data for in class exercise with shingle testing data  keith_cox  Sep 18, 2012  2KB  143 
Unit 1; Exercise 5
The following data represent the number of times that a sample of residents in nursing homes who were aged 80 or older fell during a 12 month period.  2539081_blackboardht_spl  May 10, 2017  105B  183 

