1St: helium football|
Datafile Name: Helium football
Datafile Subjects: Sports
Story Names: Helium football
Reference: Lafferty, M. B. (1993), "OSU scientists get a kick out of sports controversy, "The Columbus Dispatch (November, 21, 1993), B7.
Authorization: Contact authors
Description: Two identical footballs, one air-filled and one helium-filled, were used outdoors on a windless day at The Ohio State University's athletic complex. Each football was kicked 39 times and the two footballs were alternated with each kick. The experimenter recorded the distance traveled by each ball.
Number of cases: 39
Trial: Trial Number
Air: distance in yards for air-filled football
Helium: distance in yards for helium-filled football
|yes||phil_larson||Sep 13, 2012||359B||92|
SLR: smoking and cancer 1|
“Cigarette smoking and cancers of the urinary tract: Geographic variation in the United States”
Journal of the National Cancer Institute (vol. 41, no. 5, ~1961), pp. 1205-1211; table from pp. 1206-1207.
Joseph F. Fraumeni, Jr.
Oxford University Press
Units: cigarettes sold per capita, cancer deaths per 100,000
|yes||phil_larson||Sep 13, 2012||2KB||314|
SLR: alligator dimensions|
p. 518 in Richard L Scheaffer, James T. McClave
Probability and Statistics for Engineers (4th ed.)
Belmont, California: Duxbury Press (1995)
Found originally in the Australian site.
Originally from the Florida Game and Freshwater Fish Commission but I can't find their source.
Length in inches?
Weight in lbs.?
|yes||phil_larson||Sep 13, 2012||174B||190|
assignment 2 spreadsheet.xlsx||yes||aletheaschaffer||Sep 12, 2012||155B||35|
Responses to Streaming Video Survey|
This data set was collected via a StatCrunch survey. Respondents were asked how many hours of video they watch each day, the percentage of their video consumption that happens via streaming (Netflix, Hulu, etc.), their age and gender.
Check out the original survey here:
Feel free to copy this survey and use for your own data collection.
|yes||scsurvey||Sep 04, 2012||10KB||286|
Low Birth Weight Study|
SOURCE: Hosmer and Lemeshow (2000) Applied Logistic Regression: Second Edition
Data were collected at Baystate
Medical Center, Springfield, Massachusetts during 1986.
The goal of this study was to identify risk factors associated with
giving birth to a low birth weight baby (weighing less than 2500 grams).
Data were collected on 189 women, 59 of which had low birth weight babies and 130 of which had normal birth weight babies. Four variables which were thought to be of importance were age, weight of the subject at her last menstrual period, race, and the number of physician visits during the first trimester of pregnancy.
LIST OF VARIABLES:
Columns Variable Abbreviation
2-4 Identification Code ID
10 Low Birth Weight (0 = Birth Weight >= 2500g, LOW
1 = Birth Weight < 2500g)
17-18 Age of the Mother in Years AGE
23-25 Weight in Pounds at the Last Menstrual Period LWT
32 Race (1 = White, 2 = Black, 3 = Other) RACE
40 Smoking Status During Pregnancy (1 = Yes, 0 = No) SMOKE
48 History of Premature Labor (0 = None 1 = One, etc.) PTL
55 History of Hypertension (1 = Yes, 0 = No) HT
61 Presence of Uterine Irritability (1 = Yes, 0 = No) UI
67 Number of Physician Visits During the First Trimester FTV
(0 = None, 1 = One, 2 = Two, etc.)
73-76 Birth Weight in Grams BWT
These data have been used as an example of fitting a multiple
logistic regression model.
STORY BEHIND THE DATA:
Low birth weight is an outcome that has been of concern to physicians
for years. This is due to the fact that infant mortality rates and birth
defect rates are very high for low birth weight babies. A woman's behavior
during pregnancy (including diet, smoking habits, and receiving prenatal care)
can greatly alter the chances of carrying the baby to term and, consequently,
of delivering a baby of normal birth weight.
The variables identified in the code sheet given in the table have been
shown to be associated with low birth weight in the obstetrical literature. The
goal of the current study was to ascertain if these variables were important
in the population being served by the medical center where the data were
1. Hosmer and Lemeshow, Applied Logistic Regression, Wiley, (1989).
|yes||wikipeterson||Jul 23, 2012||6KB||504|
Shooting Homocides International Comparison|
After shooting in Aurora, CO theater that killed numerous people and injured many more, I have seen several lists showing statistics related to guns and shooting deaths. This data is a bit stale, but represents a much larger set of countries for comparison. Also rather than presenting the number of shooting deaths (which can be misleading) it works with shooting deaths per 100,000 people per year. I have inserted data from the Facebook meme that I saw about this.
I don't claim that this data is correct, but it seems more complete and cites sources.
I apologize in advance if you feel the timing is inappropriate. Honestly, I can't think of a more appropriate time to have documented information about this topic since it seems a national dialogue might ensue. But it isn't my intention to cause additional grief to anyone.
|email@example.com||Jul 21, 2012||3KB||204|
U.S. Department Of Labor
Bureau of Labor Statistics
Washington, D.C. 20212
Consumer Price Index
All Urban Consumers - (CPI-U)
U.S. city average
|firstname.lastname@example.org||Jul 16, 2012||8KB||83|
Alcohol data from adults|
My group and I design a survey to find out among the adult who drinks , why they drink, their age, education level and how many drink they have per day. The data was gathered individually and put together into statcrunch by one member of the group. This survey shows the number of drinking adults and what motivate them to drink. Our survey question is below.
1. Do you Drink Alcohol? Circle one: Y N
2. What is your age?____years
3. What is your gender? Circle one: Male Female
4. Are you having an increasing number of
A. Financial problems
B. family problems
C. Work problems
D. Health problems
E. Financial and family problems
F financial, health and family problems
G. Family and work problems
H. Financial, Family, and work problems
I. none of the above
5. How many drinks do you have a week?_____ drinks
6. Education: What is the highest degree or level of school you have completed? If currently enrolled, mark the previous grade or highest degree received.
A. No schooling completed
B. Nursery school to 8th grade
C. 9th, 10th or 11th grade
D. 12th grade, no diploma
E. High school graduate - high school diploma or the equivalent (for
F. Some college credit, but less than 1 year
G. 1 or more years of college, no degree
H. Associate degree (for example: AA, AS)
I. Bachelor's degree (for example: BA, AB, BS)
J. Master's degree (for example: MA, MS, MEng, MEd, MSW, MBA)
K. Professional degree (for example: MD, DDS, DVM, LLB, JD)
----- Original Message ----
Sent on:Tuesday, May 22, 2012 11:46 PM
Hi. It looks good.
2. What is your gender? Circle one: Male Female Other
to2. What is your gender? Circle one: Male Female Other
Since I do not think you will get someone answering as Other.
In #3, I forgot another option:3. Are you having an increasing number of
A. Financial problems
B. family problems
C. Work problems
D. Financial and family problems
E. financial and family problems
F. Family and work problems
G. Financial, Family, and work problems
H. none of the above
|email@example.com||Jun 21, 2012||9KB||630|
Men Project 2||yes||nydia_56||May 09, 2012||225B||138|
SURVEYMOTHERS.firstname.lastname@example.org||May 08, 2012||371B||121|
WOMENS FINAL.email@example.com||Apr 26, 2012||4KB||75|
WOMENS FINAL.firstname.lastname@example.org||Apr 26, 2012||4KB||24|
WOMEN%27S HEALTH .email@example.com||Apr 21, 2012||5KB||135|
Create a histogram for students’ heights. May need to experiment with different bin widths (e.g 3, 5). Comment on the shape of the distribution.
|yes||smcdaniel04||Jan 23, 2012||239B||506|