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Data Set/Description Owner Last edited Size Views
Survey Title: Working Women: Work & Sleep Focus group: Working women. Purpose: To correlate the amount of sleep working women obtain, and level of refreshment) to the amount of hours worked, per week. Data collection method: Social media, in person, telephone, electronic texting, e-mail, and telephonic. Appendix: Contains raw data collected, per contributing person
lorriefrenchMar 28, 20194KB1069
1970 Draft Lottery Data
In 1970, Congress instituted a random selection process for the military draft. All 366 possible birth dates were placed in plastic capsules in a rotating drum and were selected one by one. The first date drawn from the drum received draft number one and eligible men born on that date were drafted first. In a truly random lottery there should be no relationship between the date and the draft number. However, this dataset suggests that men born later in the year were more likely to be drafted.
cdcummings12Jun 1, 20108KB3695
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, 20142KB1149
AP Statistics Predictions 2013-16
GPA = Student's Weighted GPA before beginning AP Statistics PrevMath = The highest math course the student completed at our school prior to AP Stats AP.Ave = The student's average score on the AP exams taken (if available) MathGPA = Unweighted GPA of student's work in math courses MT.MC = Students number correct (out of 40) on the multiple choice section of their midterm (MT) MT.Raw = Student's raw score (out of 100) on the multiple choice and free response sections of a previously released AP exam Locus.Aug = Student's score (out of 100) on the LOCUS diagnostic test in the beginning of the school year S1P = Student's first semester grade as a percentage S1G = Student's first semester letter grade S1F = Student's (scaled) first semester final exam grade (a.k.a. midterm test grade) S2P = Student's second semester grade as a percentage S2G = Student's second semester letter grade Ch 1-4 = Student's raw test average on ch. 1-4 Ch 1-6 = Student's raw test average on ch. 1-6 Ch 1-8 = Students raw test average on ch. 1-8 MT = Student's raw test average on the midterm Ch 1-12=Student's raw test average on ch. 1-12 (entire textbook) Mock 1 = Student's raw score on first mock exam (mid-March) Mock 2 = Student's raw score on second mock exam (late April) Mock 1&2 = Student's average on two mock exams MT&Mock1&2 = Student's average on midterm and two mock exams MT.AP = Student's converted score (1-5) on midterm Mocks.AP = Student's converted score (1-5) on average of two mock exams MT&Mocks.AP = Student's converted score (1-5) on average of MT and two mock exams ACTUAL = student's actual performance on AP exam (blank means student opted out of taking exam) MT.Resid = Actual score - Midterm score Mocks.Resid = Actual score - average Mock exam score MT&Mocks.Resid = Actual score - average midterm and mock exam score
je175Jul 5, 20169KB2321
Powerball Lottery Results.csv
List of PowerBall numbers drawn with payouts and dates
hbarker2Sep 27, 201642KB920
Steak Preference
This data set presents raw data from 412 American steak eaters. The participants were asked a question about which lottery they would play and how they prefer their steak prepared. In addition, the participants gender and age grouping are presented.
nramezanSep 11, 201815KB1615
NHL Skaters Raw Data 2013-2014
All NHL skaters from 2013 - 2014 season with at least 820 minutes of playing time.
cecil_collegeOct 31, 201724KB815
Taste test comparing two ready-made salsas--one national retail brand and one warehouse store brand.
owlbaitMay 10, 20107KB520
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, 20184KB391
I began this survey in order to pick out certain factors that may have been linked to students withdrawing from college courses, during the Fall 2010 semester at Ventura College; once the withdrawel deadline passed. Factors include gender, number of units, mode of transportation (whether public or personal), and employment status. My hypothesis was that students who fulfill one or more of the following factors, are more likely to withdraw from classes: students who are employed, rely on public transportation and are full time students. I collected the data for this research by randomly interviewing students from Ventura College.
vanessa.hofer978Jan 6, 20111KB364
The data in the following table represents the educational attainment of adults 25 and older who are residents of the United States. The data are in Thousands. Using StatCrunch: Draw a side-by-side relative frequency bar graph of the data. Draw a pie chart for each year.
33120244_ecollege_huntmlpJul 11, 2015296B363
Responses to IV fluid survey2
All raw data, cleaned up, from IV fluids in labor survey
kacarmackNov 8, 201457KB216
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, 2012248KB89
TibbyCatt COC Students GPA Seating in Class 4 Row 2017 Fall
Randomly selected student data. Random Drawing plus last digit of year on drawn coin for systematic random sample data. Use 4 row, 3 row and 2 row entries with digits.
clstineNov 10, 20172KB197
Heywood Stats Project
asou2730Nov 21, 2019403B11

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