StatCrunch logo (home)

Data sets shared by StatCrunch members
Showing 1 to 10 of 10 data sets matching relationships
Data Set/Description Owner Last edited Size Views
Happiness Data from GSS.xls
These data come from the 2008 General Social Survey. A subset of 190 respondents were selected at random from the full data set. Children = number of children. Education is highest year of education (e.g., 12 = High School; 16 = Bachelors, etc.). Happy: 1 = Not too happy, 2 = Pretty Happy, 3 = Very Happy. Health: 1 = Poor, 2 = Fair, 3 = Good, 4 = Excellent. Income: 1 = Under $1000; 2 = $1000-2999; 3 = $3000-3999; 4 = $4000-4999; 5 = $5000-5999; 6 = $6000-6999; 7 = $7000-7999; 8 = $8000-9999; 9 = $10000-12499; 10 = $12500-14999; 11 = $15000-17499; 12 = $17500-19999; 13 = $20000-22499; 14 = $22500-24999; 15 = $25000-29999; 16 = $30000-34999; 17 = $35000-39999; 18 = $40000-49999; 19 = $50000-59999; 20 = $60000-74999; 21 = $75000-$89999; 22 = $90000-$109999; 23 = $110000-$129999; 24 = $130000-$149999; 25 = $150000+. Married: 0 = No, 1 = Yes. Religious: 1 = Not religious, 2 = Slightly religious, 3 = Moderately religious, 4 = Very religious.
jacobgsimonsApr 20, 20105KB3980
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, 201810KB3042
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, 20157KB7635
Body Dimensions
NAME: Exploring Relationships in Body Dimensions TYPE: Observational SIZE: 507 Observations, 25 Variables DESCRIPTIVE ABSTRACT: This dataset contains 21 body dimension measurements as well as age, weight, height, and gender on 507 individuals. The 247 men and 260 women were primarily individuals in their twenties and thirties, with a scattering of older men and women, all exercising several hours a week. SOURCE: Measurements were initially taken by the first two authors - Grete Heinz and Louis J. Peterson - at San Jose State University and at the U.S. Naval Postgraduate School in Monterey, California. Later, measurements were taken at dozens of California health and fitness clubs by technicians under the supervision of one of these authors. VARIABLE DESCRIPTIONS: Columns Variable Skeletal Measurements: 1 - 4 Biacromial diameter (see Fig. 2) 6 - 9 Biiliac diameter, or "pelvic breadth" (see Fig. 2) 11 - 14 Bitrochanteric diameter (see Fig. 2) 16 - 19 Chest depth between spine and sternum at nipple level, mid-expiration 21 - 24 Chest diameter at nipple level, mid-expiration 26 - 29 Elbow diameter, sum of two elbows 31 - 34 Wrist diameter, sum of two wrists 36 - 39 Knee diameter, sum of two knees 41 - 44 Ankle diameter, sum of two ankles Girth Measurements: 46 - 50 Shoulder girth over deltoid muscles 52 - 56 Chest girth, nipple line in males and just above breast tissue in females, mid-expiration 58 - 62 Waist girth, narrowest part of torso below the rib cage, average of contracted and relaxed position 64 - 68 Navel (or "Abdominal") girth at umbilicus and iliac crest, iliac crest as a landmark 70 - 74 Hip girth at level of bitrochanteric diameter 76 - 79 Thigh girth below gluteal fold, average of right and left girths 81 - 84 Bicep girth, flexed, average of right and left girths 86 - 89 Forearm girth, extended, palm up, average of right and left girths 91 - 94 Knee girth over patella, slightly flexed position, average of right and left girths 96 - 99 Calf maximum girth, average of right and left girths 101 -104 Ankle minimum girth, average of right and left girths 106 -109 Wrist minimum girth, average of right and left girths Other Measurements: 111-114 Age (years) 116-120 Weight (kg) 122-126 Height (cm) 128 Gender (1 - male, 0 - female) The first 21 variables are all measured in centimeters (cm). Values are separated by blanks. There are no missing values. STORY BEHIND THE DATA: The first two authors investigated the correspondence between frame size, girths, and weight of physically active young men and women, most of whom were within normal weight range. One goal of this investigation was to develop predictive techniques to assess the lean/fat body composition of individuals. PEDAGOGICAL NOTES: These data can be used to provide statistics students practice in the art of data analysis. Such analyses range from simple descriptive displays to more complicated multivariate analyses such as multiple regression and discriminant analysis. SUBMITTED BY: Grete Heinz 24710 Upper Trail Carmel, CA 93923 USA goguh@aol.com Louis J. Peterson Department of Health Sciences San José State University One Washington Square San José, California 95192 USA Roger W. Johnson Department of Mathematics and Computer Science South Dakota School of Mines and Technology 501 East St. Joseph Street Rapid City, South Dakota 57701 USA Roger.Johnson@sdsmt.edu Carter J. Kerk Industrial Engineering Program South Dakota School of Mines and Technology 501 East St. Joseph Street Rapid City, South Dakota 57701 USA Carter.Kerk@sdsmt.edu --
hancocdMar 19, 20178KB939
Breastfeeding USA kc
1. What do you anticipate finding as you study your variables and their relationships? (This should be a sentence or two.) I anticipate to find the percentage of women who tried nursing their child vs women who stuck with nursing their child at the 6 month mark. (2 points) 2. Clearly identify your population. Remember that your population size must be greater than 40. (This can be done in one sentence.) The population is the USA, we have 50 states. I used randomize.org to select the 50 states that were listed alphabetically. (1 point) 3. Identify THREE variables that apply to each element in your population. One should be a qualitative variable and the other two should be quantitative variables. V1, Qualitative Variable : State where women were surveyed V2, Quantitative Variable : % of women who tried nursing at all V3, Quantitative Variable : % of women who nursed up to 6 months (3 points) 4. Clearly and in detail, explain the sampling procedure you used to collect your sample of size 40 from the larger population. (This should be a short paragraph.) This subject sparked interest as someone who was successful(but was not surveyed) in nursing a child. I visited the WHO website which directed me to the CDC website and searched through results from 2015, these were the most recent results. The demographic is quite obviously women, more specifically mothers from different states. There is no data as to race, ethnicity or age although I think that would be interesting to observe.
kcurci1Jan 28, 20191KB31
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)
lmcmath34Dec 1, 20167KB345
Body Image STATS PROJECT
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)
savannafuentezMay 8, 20178KB173
Varied Lifestyles' Relationships with Wellbeing and Self-Worth5933509df9cef2de3768e03e67800d3442e155b5_canvas_indmlpDec 2, 2018263KB52
#6.2 Homework 13
Steel Relationships
ds-15131%scAug 11, 2008175B33
-Polygamous Relationships Survey (Responses).xlsxtracy13jimenezApr 28, 201723KB6


Always Learning