StatCrunch logo (home)

Data sets shared by StatCrunch members
Showing 1 to 15 of 79 data sets matching make
Data Set/Description Owner Last edited Size Views
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
Thanksgiving 2015 Poll Data
This data was collected using a SurveyMonkey poll conducted on November 17th, 2015. Originally there were 1,058 respondents. The following where the original questions summarized in this data set:
Do you celebrate Thanksgiving?
What is typically the main dish at your Thanksgiving dinner?
How is the main dish typically cooked?
What kind of stuffing/dressing do you typically have?
What type of cranberry sauce do you typically have?
Do you typically have gravy?
Which of these side dishes are typically served at your Thanksgiving dinner? Please select all that apply.
Corn
Green beans/green bean casserole
Mashed potatoes
Rolls/biscuits
Yams/sweet potato casserole
Which type of pie is typically served at your Thanksgiving dinner? Please select all that apply.
Apple
Pecan
Pumpkin
Which of these desserts do you typically have at Thanksgiving dinner? Please select all that apply.
Do you typically pray before or after the Thanksgiving meal?
How far will you travel for Thanksgiving?
Will you watch any of the following programs on Thanksgiving?
Macy's Parade What's the age cutoff at your "kids' table" at Thanksgiving?
Have you ever tried to meet up with hometown friends on Thanksgiving night?
Have you ever attended a "Friendsgiving?"
Will you shop any Black Friday sales on Thanksgiving Day?
Do you work in retail?
Will you employer make you work on Black Friday?
How would you describe where you live?
Age
What is your gender?
How much total combined money did all members of your HOUSEHOLD earn last year?
What US Region do you live in?
statcrunch_featuredNov 14, 2018204KB5816
Times World University Rankings (2011-2016)
This data comes from the annual Times magazine rankings of universities across the world. The webpage for the Times 2016 rankings is listed above in the source.
The formula for the 2016 rankings is as follows:
30% for Teaching Rating
7.5% for International Outlook Rating
30% for Research Rating
30% for Citations Rating
2.5% for Industry Income Rating.
The “Total Score” from 2016 can be recreated using this formula.

ColumnDescription
World_RankUniversity rank for a given year
University_NameThe name of the university
CountryLocation of university
Teaching_Rating Rating from a 0-100 scale of the quality of teaching at the university. This rating is based on the institution’s reputation for teaching, it’s student/staff ratio, it’s PhD’s/ undergraduate degrees awarded ratio, and it’s institutional income/ academic staff ratio.
Inter_Outlook_Rating Rating from a 0-100 scale of the international makeup of a university. This rating is based the international student percentage, international staff percentage, and the percentage of research papers from the university that include at least one international author.
Research_Rating Rating from a 0-100 scale of quality of research at the university. This rating is based on the university’s reputation, it’s research income/ academic staff ratio, and it’s production of scholarly papers.
Citations_Rating Rating from a 0-100 scale of based on the normalized average of citations by other papers per paper from the university (how often the research from the university is cited by other papers).
Industry_Income_Rating Rating from a 0-100 scale grading how much companies are willing to invest in the universities research. The rating is calculated based on the research income from businesses per academic staff member.
Total_ScoreThe final score used to determine the university ranking based on Teaching_Rating, International_Outlook_Rating, Research_Rating, Citations_Rating, and Industrial_Income_Rating.
Num_StudentsTotal number of students in a given year
Student/Staff_RatioNumber of students per academic staff member
%_Inter_StudentsPercentage of student body who come from a foreign county
%_Female_Students Percentage of student body that is female.
YearAcademic year that the ranking was released. For example, 2016 denotes the 2015-2016 academic year.
statcrunchhelpApr 5, 2016254KB4210
Responses to Social Media Survey
Respondents provided their most used social media application (Media App), how many minutes they spent on social media per day (Time spent), the number of times they visited social media per day (Visits per day), the number of posts they make per week (Posts per week), their gender (Gender), and their age (Age).
scsurveyOct 24, 2017196KB4901
Incident Data for Traffic Tickets
These data are from a survey of traffic violations; participants could report on up to 4 incidents. Had Ticket: 0 = No, 1 = Yes; Tickets = Number of tickets received in life; Warnings = Number of warnings (i.e., pulled over but no ticket) in life; Age at incident; Reason for incident; How far over the speed limit the citation was for; Time# and Time both indicate time of day of incident; Road indicates where incident occurred; Utah = Whether incident occurred in Utah (0 = No, 1 = Yes); as well as the make, model, and category of the car.
qtpie1480Dec 2, 201018KB3080
Years of Classroom Teaching Experience
These data represent the years of experience of prekindergarten through 8th grade teachers attending a summer professional development workshop, 2013 Suggested uses: - Make a histogram or pie chart. - Make a stemplot. - Compute the measures of central tendency and the five-number summary.
stephenAug 27, 2013267B1059
Social Media users: gender, age, media app
Respondents provided their most used social media application (Media App), how many minutes they spent on social media per day (Time spent), the number of times they visited social media per day (Visits per day), the number of posts they make per week (Posts per week), their gender (Gender), and their age (Age).
bani15696Mar 31, 2018137KB2715
TrafficTickets
These data are from a survey of traffic violations; participants could report on up to 4 incidents. Had Ticket: 0 = No, 1 = Yes; Tickets = Number of tickets received in life; Warnings = Number of warnings (i.e., pulled over but no ticket) in life; Age at incident; Reason for incident; How far over the speed limit the citation was for; Time# and Time both indicate time of day of incident; Road indicates where incident occurred; Utah = Whether incident occurred in Utah (0 = No, 1 = Yes); as well as the make, model, and category of the car.
cvoiseiSep 7, 201726KB2538
Number of Siblings and skewed data
The number of siblings for 3 statisitics classes. Make a histogram for the number of siblings. How is this skewed? Is the data discrete or continuous?
smcdaniel04Apr 3, 201521KB1461
Responses to Concealed Carry on Campus
A recent survey asked respondents how they felt about recent movements to legalize the concealed carry of firearms on college campuses. Respondents were asked if they support such legislation (Support), if the passage of such legislation would make them feel more or less safe (Safety), how many guns they own (Guns), whether or not they were are a student (Student) and what U.S. state they reside in (State).

Check out the original survey here: http://www.statcrunch.com/5.0/survey.php?surveyid=1336&code=MDAVA

Feel free to copy it for your own use.

scsurveyMar 23, 201110KB1130
Comparing two drugs
The basic practice of statistics: instructor's edition. David S. Moore - William Notz - Michael A. Fligner - R. Scott Linder - W.H. Freeman and Co. – 2013 (p. 462) 18.50 Comparing two drugs. Makers of generic drugs must show that they do not differ significantly from the “reference” drugs that they imitate. One aspect in which drugs might differ is their extent of absorption in the blood. Table 18.6 gives data taken from 20 healthy nonsmoking male subjects for one pair of drugs. This is a matched pairs design. Numbers 1 to 20 were assigned at random to the subjects. Subjects 1 to 10 received the generic drug first, followed by the reference drug. Subjects 11 to 20 received the reference drug first, followed by the generic drug. In all cases, a washout period separated the two drugs so that the first had disappeared from the blood before the subject took the second. By randomizing the order, we eliminate the order in which the drugs were administered from being confounded with the difference in the absorption in the blood. Do the drugs differ significantly in the amount absorbed in the blood? Table 18.6 Absorption extent for two versions of a drug
phil_larsonApr 9, 2013290B1689
Cigarette Consumption vs CHD Mortality
Now that cigarette smoking has been clearly tied to lung cancer, researchers are focusing on possible links to other diseases. The data below show annual rates of cigarette consumption and deaths from coronary heart disease for several nations. Some public health officials are urging that the US adopt a national goal of cutting cigarette consumption in half over the next decade. Examine these data and write a report. In your report you should: 1. Include appropriate graphs (e.g. scatterplot, residual plot) and statistics (e.g. mean and SD); 2. Describe the association between cigarette smoking and coronary heart disease; 3. Create a linear model; 4. Evaluate the strength and appropriateness of your model; 5. Interpret the slope and y-intercept of the line; 6. Use your model to estimate the potential benefits of reaching the national goal proposed for the US. That is, based on your linear model, if the US were to cut its cigarette consumption in half (from 3900 to 1950), what does the linear model predict would happen to the CHD rate. 7. You should use Statcrunch to generate nice looking graphs and output as needed. Be sure to size them appropriately. No need for a 8x10 scatterplot; Make your graphs about 3x3. You should scale them in Statcrunch first, then copy and paste into Word.
smcdaniel04Sep 29, 2011267B5791
Diet
This is a small data set used to illustrate the failure of an inappropriate use of an independent means test compared with a paired test on the same data. The story is that we have before and after weights for 6 customers of a weight loss clinic. Visual observation makes it clear that the clinic is effective (except in one questionable case). Students can discuss what sources there are for the variation found in the data set and relate them to the assumptions of the independent versus paired analysis models. Application of classical techniques will produce an extremely large p_value for the independent analysis and a significant p_value for the paired analysis. To illustrate the difference with simulation techniques, first do a randomization for two means between the before and after data groups. This will spectacularly fail to show a difference, when in fact there is a clear difference. Then use a bootstrap to examine the 6 differences and it is clear that a zero difference is highly unlikely.
david.zeitlerMay 19, 201187B1956
Responses to How much should you spend on a wedding?
Respondents provided the amount they thought was reasonable to spend on a wedding, their gender, whether or not they have had a wedding, whether or not they were currently planning a wedding and their age. The data set is full of outliers with 60 of the 1424 respondents providing amounts over 100,000. Try using a Where expression of Amount <= 100000 to remove these extreme observations. The trimmed distribution still has a number of interesting features. Focus on these extremes by using a Where expression of Amount > 100000 and you will see that Males somewhat surprisingly make up the majority of this group.
scsurveyMay 21, 201429KB1096
Top Contracts in Professional Sports as of 3-29-2014
This data took was loaded into StatCrunch using the StatCrunchThis bookmark; major cleaning was necessary to make data pretty. These are professional sports contracts totaling at least $100,000,000.
daniel.inghramMar 29, 20148KB581

1 2 3 4 5 6   >

Always Learning