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Data Set/Description Owner Last edited Size Views
Hospital Length of Stay
Code Book is: Departments 1 Ophthalmology (Eye) 2 General Surgery 3 Oncology (cancer) 4 Orthopedics (bones) 5 Pediatrics (children) 6 Radiology (x-rays) Gender 0 Male 1 Female Length in Stay (days)
ctorresrApr 14, 2019978B180
Super Heroes
This data set originally came from the following website: It contains various physical characteristics for over 700 fictional comic book super heroes.
statcrunch_featuredAug 1, 201847KB6300
Guns Ownership and Deaths by Firearms by State

The composite of two datasets from, this dataset shows the percentage of survey respondents* who indicated that there is a firearm in the home [] and the number of deaths by firearms per 100,000 population (most recent) [].

*In 2001 the Behavioral Risk Factor Surveillance System (BRFSS) in North Carolina surveyed 201,881 respondents nationwide, asking them, "Are any firearms now kept in or around your home? Include those kept in a garage, outdoor storage area, car, truck, or other motor vehicle."

mshelly33702Aug 29, 20102KB3982
American Vacation Stops
This Pareto graph shows the top vacations spots surveyed from a sample of 3000 people. I used a Pareto because a pie chart does not disciminate the close percentages enough to accurately read the data. The data is categorical because the variables can only be measured in categories The graph illustrates people's choice vacation stop by starting from the America destinations with the highest preference to the lowest. I'm not exactly sure how accurate this data due to the fact that I am unaware of the sample that was surveyed. The link to both the Pareto graph and the pie chart are below (Pareto graph) (Pie Chart)
astra028May 5, 2013431B1274
Husson Spring 2016 Data
Gender: Female or Male ||| Sports: play on sports team, Yes or No ||| Height: height in inches ||| Handedness: Left or Right ||| Left Handspan: left handspan in inches ||| Right Handspan: right handspan in inches ||| Favorite Color: favorite color selected from purple, blue, green, yellow, orange, red ||| Speed: fasted speed driven in mph ||| Eye Color: eye color selected from blue, brown, other ||| Previous Stats: taken a course in statistics before this one, None, HS = high school, College, Both = HS and College ||| Year: First, Sophomore, Junior, Senior ||| Major: one of a number of majors ||| Feelings: feelings about math, Hate, Dislike, Neutral, Like, Love ||| FeelingsNum: rank of Feelings, 1 = Hate, 2 = Dislike, 3 = Neutral, 4 = Like, 5 = Love ||| Section: course section
moyerjMar 9, 201620KB1172
Gun Ownership by State (2001)
In 2001 the Behavioral Risk Factor Surveillance System (BRFSS) in North Carolina surveyed 201,881 respondents nationwide, asking them, "Are any firearms now kept in or around your home? Include those kept in a garage, outdoor storage area, car, truck, or other motor vehicle."
mshelly33702Aug 24, 20102KB422
ms 132 fall 2015
gender: M or F ||| sports: play on sports team, Y or N ||| height: height in inches ||| handedness: R or L ||| Lhandspan: left handspan in inches ||| Rhandspan: right handspan in inches ||| fave color: favorite color selected from purple, blue, green, yellow, orange, red ||| speed: fasted speed driven in mph ||| eye color: eye color selected from blue, brown, other ||| previous stats: taken a course in statistics before this one, No, HS = high school, College, Both = HS and College ||| math feeling: feelings about math, Hate, Dislike, None, Like, Love
moyerjSep 15, 20156KB613
Dog Show Raw Data and Tables.xlsx
Raw data for n=150 people surveyed at a dog show regarding their favorite breed. Data is useful for creating frequency and relative frequency tables and bar and pie charts.
jhanteAug 1, 20184KB350
Who's the greatest president?
This data set contains the results of the Zogby Presidential Greatness Poll over the years from 2006 to 2008. The survey each year contains the results from 1026 likely voters. The Positive column shows the proportion of those surveyed that think the president was great or near great. The Negative column shows the proportion of those surveyed that think the president was below average or a failure.
websterwestFeb 28, 20081.012B333
Statistics Survey Pocket Change
Students in an LMC statistics class conducted a research survey to find if people carried more than 50 cents in their pockets. The students surveyed 125 people, in as close to a random sample as possible. The survey was conducted in 2018.
lmcmath34Jul 8, 2018662B267
T&C Final Project
Tamara & Cheyenne's final project: Are men tardy more often than women
skarasmooreApr 17, 2018251B96
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, 20173KB178
1972-2011 fire season (May 15-Oct 31) fuel moisture and max temperature data from Meyers (ID 042607) remote automated weather station (RAWS)
rstriplin01Jun 8, 2012248KB83
Responses to Sleep Survey
Topic: Sleeping Habits Course: STA 220 (statistics) Semester: Fall 2013 Name: Tiffany Turner Introduction: Sleeping habits is a behavioral state that is a natural part of every body’s life. Humans spend about 1/3 of their lives asleep. People generally know little about the importance of sleep. Sleep is not just something to fill time when a person is inactive. Sleep is a required activity, not an option. Even though the precise functions of sleep remain a mystery, sleep is important for normal motor and cognitive function. We all recognize and feel the need to sleep. After sleeping, we recognize changes that have occurred, as we feel rested and more alert. Sleep actually appears to be required for survival. Methodology: Data was collected through a survey in which individuals were asked about their sleeping habits and what their age is. The survey was given to people in my family and some of the people on statcrunch who participated. I had 14 people to participate in my survey. The data obtained was analyzed by statcrunch data analysis package available at Analysis and Results: Both descriptive and inferential analyzing was done at A. Descriptive Data Analysis: A pie chart was used to describe the sample data since there were all different ages being used. B. Test analysis (inferential statistics) Regression analysis was done by using statcrunch to identify the existence of a correlation between the participants’ weekdays and weekends sleeping habits. A similar analysis. A similar analysis was also done for a possible correlation between the age and the hours slept. The result indicates almost zero correlations between individual’s age and sleeping habits. Conclusion: The linear regression results obtained contradicted my initial belief that an individual’s age will not increase the hours an individual will sleep. The respondents could have provided inaccurate data since there is no way to verify the information obtained from the survey. Also, the 14 individuals from my family and HCTC who were surveyed may have been dominantly age observers who sleep more during weekends then weekdays. Given the above, it would not be accurate to conclude that there is no correlation between age and how much sleep one gets. Proper methods of data collection such as observation may be appropriate for this type of study.
tturner0090Jan 28, 2013572B1498
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 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, 20191KB20

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