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Showing 1 to 15 of 562 data sets matching EXERCISE
Data Set/Description Owner Last edited Size Views
Happiness vs Sleep/Exercise
High School students. Sleep: average hours per night. Exercise: Average hours in typical week. Happiness: Scale 1-5 where 1 is extremely unhappy.
mastersondOct 4, 2018371B1470
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.
websterwestMar 10, 2008450KB2777
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).
statcrunchOct 2, 20094KB3630
Survey on Exercise
- Value Key 2 Yes 1 No 2 Male 1 Female 1-Aesthetics 2-Fitness 3-Fun 4-Healthy 5-Hobby 6-Medical 7-No Motivation 8-Mental Motional 9-Requirement 10-Social 11-Time 1-Cardio 2-Combination 3-None 4-Resistance 5-yoga / Pilates Source of information on exercise. 1-Doctor 2-Friend or family 3-Media 4-N/A 5-professional 6-text 7-school 8-trainer 1- 2-.5-1 years 3- <.5 years 4-1-2 years 5- 2+ years 1=0 2=1-2 3=3-4 4=5+ 1=0 2- < 30 minutes 3. 31-60 4- 61-90 5- > 90 Source of information on exercise. 1-Doctor 2-Friend or family 3-Media 4-N/A 5-professional 6-text 7-school 8-trainer
jramirez514May 18, 20133KB2102
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 - Self-reported 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)
stjohn314Apr 8, 201810KB2323
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_richardMay 2, 20168KB1135
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).
amelia657Jan 31, 20104KB4053
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.
haleymcsweeneyMay 15, 2010195B1262
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 - Self-reported 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_sacmlpJul 1, 20157KB7310
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 2009-2011 seasons. //// 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. //// 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). //// 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 hit-by-pitch. 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.
mileschenApr 17, 20126KB3741
Project Data
This data encompasses the results of surveying 50 of my women friends, who exercise regularly, in order to determine the average resting heart-rate 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 18-22 years old.
jjindrich0127Jul 15, 20101KB1949
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 left-handed (l) or right-handed (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
sigue006Jun 20, 2016897B2838
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.
srhsrdOct 23, 2013243B448
ECO252: Dataset for boston and vermonth shingle company-v1.xls
Data for in class exercise with shingle testing data
keith_coxSep 18, 20122KB143
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.
-253908-1_blackboardht_splMay 10, 2017105B183

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