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Data Set/Description Owner Last edited Size Views
For what survey produced it, see and inputs of all team mates. Towards the end, some validation was done, deleting data where working hours was less than a work day, or outliers to legally admissible work days. Finally arbitarily long chains which were less likely to be encountered in draws of simulated data (M/F, Degrees etc.. were discarded). A total of 12 observations were thus thrown out. All Credit goes to Team 3,the Instructor, our unnamed Friends in the Nursing profession who enthusiastically did a last minute push through over their extended social media groups for data and the respondents who kindly took out time for the survey. Another thought is about the distribution of hours worked. Wven if random, it "should be" "centered on" certain hours a day* number of days, with deviations from centre penalised, while picking a sample.. The observations 38 appear many times for example, however without an explainable reason (we are talking of work-distribution among nursing staff sample) So do "primes" "47, 37, 29" It is not to argue that they "shouldn't occur", but there has to be some reason for their being so significant/vibrant. At this stage we may conclude that most of the respondents may not have been under full-time nursing employments in strict sense of the term. 42, 48,72,60, 50,40 appearing more often would give us less variation but more regularity in the data. Since we haven't tried stratification, we do not know "how often they should occur". We thus do not re-draw observations.
ugoagwuJun 14, 20142KB1093
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 Circle one. 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 example: GED) 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) Circle one. ----- Original Message ---- Sent on:Tuesday, May 22, 2012 11:46 PM Hi. It looks good. Change: 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 Circle one.
rosesegeJun 21, 20129KB5248
Cell Phone OLI
Math Math SAT score Verbal Verbal SAT score Credits Number of credits the student is registered for Year Year in college (1=Freshman, 2=Sophomore, 3=Junior, 4=Senior) Exer Time (in minutes) spent exercising in a typical day Sleep Time (in hours) spent sleeping in a typical day Veg Are you a vegetarian (yes, no, some) Cell Do you own a cell phone (yes, no) Cell Phones College students at a large state university completed a survey about their academic and personal life. Questions ranged from "How many credits are you registered for this semester?" to "Would you define yourself as a vegetarian?" Four sections of an introductory statistics course were chosen at random from all the sections of introductory statistics courses offered at the university in the semester when the survey was conducted, and the 312 students who completed the survey were students registered in one of the four chosen sections. In this exercise, we will use a subset of variables from the survey and use the collected data to answer three questions. Note that (1) these are real data, and (2) the symbol * in the worksheet means that this observation is not available (this is known as a "missing value").
corp_richardMay 2, 20168KB1304
Credit Scores
This file has two variables: Performing A value of 0 indicates that the loan is not a performing loan and that the borrower is either behind payments or is in default. A value of 1 indicates that the borrower is in good standing. Credit_Score Is the borrower's credit score at the time the loan was given.
craig_slinkmanApr 2, 20105KB1084
jesse henson T-test and Credit Card data
The data goes with the additional T-tests I did to go with this set, more specifically the 2 sample T-test.
thehensons07Feb 24, 2013871B162
LCCC-Refusals in Lending
I found it interesting that minority groups almost always have a higher rejection rate on lending. However, this study also does not show any other information about the borrowers. There is no average credit scores. Along with other factors that lenders take into consideration when looking at borrowers. It shows the banks are more likely to lend to whites, but maybe that is not the case. Maybe the the minorities had too low of income or credit scores for what they want to borrow. From this study you cannot tell way the rejection rates are so high for minorities because there is no enough to work off of.
cmay5660Jan 23, 2010614B127
Northwest Commission
File includes community colleges accredited by the Northwest Commission. Includes college name, state, and in-state tuition and fees reported on the College Scorecard.
janet.schlaakMay 28, 20181KB81
Middle States Commission
File includes community colleges accredited by the Middle States Commission. Includes college name, state, and in-state tuition and fees reported on the College Scorecard.
janet.schlaakMay 28, 20184KB61
SophiaM_MAT240_Yr2017_R1026 17EW1
mat_240_journal_dataset_R1026 17EW1.xlsx, for Module 5 Extra Credit Journal
smiiOct 8, 201722KB46
Notes: Age in years HT: height in inches WT: weight in pounds WAIST: waist circumference in cm PULSE: pulse rate in beats per minute SYS: systolic blood pressure in mmHg DIAS: diastolic blood pressure in mmHg CHOL: cholesterol in mg BMI: body mass index LEG: upper leg length in cm ELBOW: elbow breadth in cm WRIST: wrist breadth in cm ARM: arm circumference in cm Credit: U.S. Department of Health and Human Services. National Center for Health Statistics Third National Health and Nutrition Examination Survey.
nancyressSep 2, 20154KB1123
Responses to College Credit Hours for Fall of 2013
Here is all of my survey information for my survey, "College Credit Hours for Fall of 2013"
mageee3Jul 27, 20132KB247
Credits taken vs Sleep
Examining the correlation between the amount of credit hours taken to the amount of sleep attained.
ajm2535Nov 29, 2017748B83
Extra Credit Graphing Project (Methane Emissions/kt CO2 equivalent for years 1990 and 2010)
(Methane Emissions/kt CO2 equivalent) Methane emissions are those stemming from human activities such as agriculture and from industrial methane production. It's listed as a World Development Indicator in their database. There was no information to be found as to how they receive their figures/numbers.
proviattNov 14, 20137KB73
Credit Card and IncomestatcrunchFeb 25, 2009509B475
impact of temperature(x1) and concentration(x2) on the percentage of impurities(y) for a chemical process.
ds-16620%scAug 11, 2008268B34

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