Data sets shared by StatCrunch members
Showing 1 to 15 of 761 data sets matching Survey
WEEK6 DATA DISCUSSION: Elderly Health Care Consumption|
|yes||dlozimek||Jul 30, 2014||192KB||18|
Finalized consolidated survey results.xls||yes||metroliner||Jul 30, 2014||8KB||101|
WEEK2 DATA DISCUSSION: Health Survey||yes||dlozimek||Jul 29, 2014||1KB||14|
Responses to Average Number of Years College Graduates Spend in Their Field of Study.MAIN|
This was a survey looking to find the number of years a person was in the field they studied in was.
|email@example.com||Jul 27, 2014||2KB||32|
Responses to Time Spent Watching TV - Cleaned up Responses|
This is the useable data from my survey on time spent watching television.
Briana Mack x00286210
|firstname.lastname@example.org||Jul 27, 2014||1KB||83|
Responses to Tattoos and You|
Respondents provided the number of tattoos they have, whether or not they are thinking of getting one soon, their gender and their age.
|yes||scsurvey||Jul 17, 2014||48KB||123|
Responses to Paranormal Survey final part 1|
Final data for part 1 of the paranormal project. All yes data with complete responses.
|email@example.com||Jul 6, 2014||5KB||96|
Responses to Using Apps to Pay Final|
This is my data results from my survey about app usage on smartphones
|firstname.lastname@example.org||Jul 6, 2014||1KB||26|
SLCC MATH 1040 SUMMER 2014 survey||yes||aliamaw||Jun 19, 2014||7KB||373|
finished survey email@example.com||Jun 15, 2014||2KB||236|
For what survey produced it, see http://www.statcrunch.com/5.0/survey.php?surveyid=8178&code=YINVQ
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.
|yes||ugoagwu||Jun 14, 2014||2KB||276|
finished survey firstname.lastname@example.org||Jun 8, 2014||2KB||48|
|email@example.com||Jun 8, 2014||40KB||16|
RegisteredNursesSurvey.firstname.lastname@example.org||Jun 3, 2014||127KB||70|
Commuter Survey Group Results|
All survey results have been properly formatted and combined.
|yes||clemsonchk1||Jun 3, 2014||3KB||208|