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Data Set/Description Owner Last edited Size Views
Concrete Mixture Strengths 136
An engineer measures the strength in pounds per square inch (psi) of concrete for 3 different mixtures of concrete. He randomly selects 9 samples from each of the three different mixtures and records their breaking strengths in psi. Assume the samples are independent of each other.
kfoongDec 10, 2019223B36
Car Details 2019 Models
This data set contains info on the 2019 models of widely sold cars. MSRP stands for Manufacture Suggested Retail Price, and MPG stands for Miles Per Gallon.

This data set was originally uploaded to StatCrunch by the parasami user.
statcrunch_featuredNov 13, 201921KB646
US Presidential Data
This data set gives information on the US Presidents from 1789-2019. The following data is included: College, Religion, Number of Children, Age at Inauguration, Year of Inauguration, Date at Death, Political Party, and Occupation

This data set was originally uploaded to StatCrunch via the khoffman2014 user.
statcrunch_featuredNov 13, 20193KB361
Domestic Autos 2019 Models
Domestic Sample from featured data, "Car Details 2019 Models," gas engines only.
craigtisddaleNov 28, 20195KB99
Foreign Autos 2019 Models
Foreign 2019 model sample from featured data, "Car Details 2019 Models" for gas engines only.
craigtisddaleNov 28, 201914KB70
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.?
phil_larsonSep 13, 2012174B1140
NSF 2008 Salary and Gender
Data obtained from the National Science Foundation, National Center for Science and Engineering Statistics (NCSES) 2008 Survey of Doctoral Recipients.
wenortonFeb 9, 20178KB707
J Pribe auto-mpg.xlsx
The data set covers 12 years of vehicles and contains 398 individual entries. The data describes popular consumer vehicle’s miles per gallon (MPG), the number of engine cylinders, total engine size (displacement), engine horsepower, the vehicle weight, a measure of acceleration (0-60 MPH time), the model year of the vehicle (1970-1982), a coded identifier for the place of origin, and the make and model of the vehicle. MPG, number of cylinders, engine size, horsepower, weight, acceleration time, and model year are all numerical values. The vehicle origin, full name, make, and model are categorical. This data was chosen to meet the assignment requirements, and because cars are cool. *Origin data code: 1=USA, 2=Europe, 3=Japan. The "car name" variable was broken into additional make and model variables to ease analysis, a change from the original data set.
jpribeFeb 16, 201932KB509
Clean Cities Alternative Fuel Price Reports, ( Electricity prices are taken from EIA's Real Prices Viewer ( Notes: *Electricity prices are reduced by a factor of 3.4 because electric motors are 3.4 times as efficient (on a BTU basis) as internal combustion engines. Efficiency adjustments were not made for other fuels because they are much smaller and inconsistent. Residential electricity prices were used because most recharging events occur at home. Residential real prices were converted to $/GGEs at a conversion of 33.7 kWh per GGE (per AFDC, then adjusted for efficiency because electric vehicles are 3.4 times as efficient as internal combustion engines (per GREET 1 2012 rev2 **Propane prices reflect the weighted average of "primary" and "secondary" stations. Primary stations have dedicated vehicle services and tend to be less expensive. Secondary stations are priced for the tanks and bottles market, and tend to be more expensive. Secondary stations are over-represented in the above chart because they comprise only 56% of the propane stations registered in the AFDC but approximately 75% of the stations in the price report. For data collection methodology, please see the actual price report. The number of stations surveyed, and therefore the quality of the data, increase throughout time. The most notable increase was for the 9/1/05 report. CNG, Propane, E85, and B20 prices were median prices before 9/1/05 and mean prices after this date. Starting in the 9/1/05 issue, prices were averaged over longer periods (generally 1 month rather than 1 week). Worksheet available at Last updated 5/17/2017
ybutterworthJun 8, 20173KB201
I gathered 55 responses from people in North West Florida about their age and the displacement of their car's engine.
lmcglamery01May 6, 2015491B120
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 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 Carter J. Kerk Industrial Engineering Program South Dakota School of Mines and Technology 501 East St. Joseph Street Rapid City, South Dakota 57701 USA --
hancocdMar 19, 20178KB1032
NSF 2008 Salary and Gender
Data obtained from the National Science Foundation, National Center for Science and Engineering Statistics (NCSES) 2008 Survey of Doctoral Recipients.
jmantheyAug 31, 20138KB628
Cricket test batting average
This is data of all the test cricket player's batting averages. To reduce the number of players and to have a proper graph I have included only those players who have made more than 1000 tests run in their career. A complete extract of the data is attached herein. The data course is the The above data can be extracted at the following link;template=results;type=batting
aaditya.jNov 25, 20083KB582
Each hour, a sample of four bearings is chosen from a manufacturing process. The observation is (x - 0.9750)/0.0001, where x is the diameter of the bearing in inches.
Reference: Johnson, R. A. (1994) Miller and Freund's Probability and Statistics for Engineers, Fifth Edition. Prentice Hall: Englewood Cliffs, New Jersey.
obs1first observation
obs2second observation
obs3third observation
obs4fourth observation
sampleuserMay 25, 2007323B349
Humidifier moisture output, oz/hr, used in's introductory statistics course. Drawn from example in T. Ryan's Modern Engineering Statistics (Wiley Interscience, Hoboken, 2007), which was, in turn, drawn from a study by Nelson in the Journal of Quality Technology (v. 21, No. 4, pp. 232-241, 1989)
petercbruceNov 28, 201283B94

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