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Showing 1 to 15 of 133 data sets matching GPA
Data Set/Description Owner Last edited Size Views
Graduate Admissions
The dataset contains several parameters which are considered important during the application for Masters Programs. The parameters included are : 1. GRE Scores ( out of 340 ) 2. TOEFL Scores ( out of 120 ) 3. University Rating ( out of 5 ) 4. Statement of Purpose and Letter of Recommendation Strength ( out of 5 ) 5. Undergraduate GPA ( out of 10 ) 6. Research Experience ( either 0 or 1 ) 7. Chance of Admit ( ranging from 0 to 1 )
brmorganteJan 15, 201912KB1157
Class Seating vs Grade
From Body Image Data Set: "A student survey was conducted at a major university. Data were collected from a random sample of 239 undergraduate students". Variables: Gender - Male or Female, GPA - Student's cumulative college GPA. GPA is then converted to Grades (where, 4.33 = A+, 4.00 = A, 3.67 = A-, 3.33 = B+, 3.00 = B, 2.67 = B-, 2.33 = C+, 2.00 = C, 1.67 = C-). Seat - Typical classroom seat location (Front & Back)
mallirhea86Oct 26, 20182KB4144
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, 20169KB2222
Seating Choice versus GPA (For 3 rows, with Text and Indicator Columns)
This dataset contains hypothetical (I believe) data on GPA for students who sit in the front, middle, and back rows of a classroom, as well as a hypothetical gender variable. The data are shown using both text variables (e.g., "front" and "middle") and 0/1 indicator variables for the row and gender variables. This dataset is useful for demonstrating the different ways that StatCrunch can compare means based on two factors: (a) the text factor columns can be used in a two-way ANOVA; and (b) the 0/1 indicator columns can be used in multiple regression. (Because of StatCrunch's current limitation on equal cells, the 0/1 variables only use the first and middle rows.) Both procedures gives the same p-value and same conclusion (as long as the interaction term is centered), thus highlighting the similarity of statistical procedures and StatCrunch's flexibility.
bartonpoulsonApr 7, 20101KB5730
Seating Choice versus GPA (Stacked & Split Columns for Front & Back Rows)
This dataset contains hypothetical (I believe) data on GPA for students who sit in the front and back row of a classroom. The data are shown in several ways: (a) two separate columns (one for the front row GPA and another or the back row GPA); (b) stacked with one column to indicate front or back row and another column with the GPAs; and (c) the row column repeated as a 0/1 indicator variable. This dataset is useful for comparing the different ways that StatCrunch can compare the means of two groups: (a) The two columns of scores (front and back) can be used in the 2-sample t-test or a one-way ANOVA; (b) the stacked text column (front/back) with a separate column for GPA can also be used for one-way ANOVA; and (c) the 0/1 indicator column and stacked GPAs can be used with correlation and regression. Every procedure gives the same p-value and same conclusion, thus highlighting the similarity of statistical procedures and StatCrunch's flexibility.
bartonpoulsonApr 7, 2010465B2767
Body Image Data Set
A student survey was conducted at a major university. Data were collected from a random sample of 239 undergraduate students, and the information that was collected included physical characteristics (such as height, handedness, etc.), study habits, academic performance and attitudes, and social behaviors. In this exercise, we will focus on exploring relationships between some of those variables. Note that empty boxes signify that this observation is not available (this is known as a 'missing value').Variables: Variables Gender - Male or Female Height - Self-reported height (in inches) GPA - Student's cumulative college GPA HS_GPA - Student's high school GPA (senior year) Seat - Typical classroom seat location (F = Front, M = Middle, B = Back) WtFeel - Does the student feel that he/she is: Underweight, About Right, Overweight Cheat - Would the tell the instructor if he/she saw somebody cheating on exam? (No or Yes)
stjohn314Apr 8, 201810KB3450
Body Image Data Set
A student survey was conducted at a major university. Data were collected from a random sample of 239 undergraduate students, and the information that was collected included physical characteristics (such as height, handedness, etc.), study habits, academic performance and attitudes, and social behaviors. In this exercise, we will focus on exploring relationships between some of those variables. Note that empty boxes signify that this observation is not available (this is known as a 'missing value').Variables: Variables Gender - Male or Female Height - Self-reported height (in inches) GPA - Student's cumulative college GPA HS_GPA - Student's high school GPA (senior year) Seat - Typical classroom seat location (F = Front, M = Middle, B = Back) WtFeel - Does the student feel that he/she is: Underweight, About Right, Overweight Cheat - Would the tell the instructor if he/she saw somebody cheating on exam? (No or Yes)
33225049_ecollege_sacmlpJul 1, 20157KB7782
Intro Stats GPA
Grade point average for 24 students in intro stats class. Create a histogram for GPA (If not using StatCrunch, you may want to create a frequency distribution first.) Note: May need to try different bin widths (e.g. 0.5, 1). Is the data continuous or discrete? Comment on the shape of the distribution.
smcdaniel04Jan 23, 2012178B1781
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, 20172KB193
Sleep Study
The data were obtained from a sample of students who did skills tests to measure cognitive function, completed a survey that asked many questions about attitudes and habits, and kept a sleep diary to record time and quality of sleep over a two week period. Source: Onyper, S., Thacher, P., Gilbert, J., and Gradess, S., ‘‘Class Start Times, Sleep, and Academic Performance in College: A Path Analysis,’’ Chronobiology International, April 2012; 29(3): 318–335. Thanks to the authors for supplying the data. Gender: 1 = male, 0 = female ClassYear: 1 = first year,...,4 = senior LarkOwl: Early riser or night owl? Lark, Neither, or Owl NumEarlyClass: Number of classes per week before 9 am EarlyClass: Indicator for any early classes GPA: Grade point average (0 - 4 scale) Number of classes missed in a semester CognitionZscore: Z-score on a test of cognitive skills PoorSleepQuality: Measure of sleep quality (higher values are poorer sleep) DepressionScore: Measure of degree of depression AnxietyScore: Measure of amount of anxiety StressScore: Measure of amount of stress DepressionStatus: Coded depression score: normal, moderate, or severe AnxietyStatus: Coded anxiety score: normal, moderate, or severe Stress: Coded stress score: normal or high DASScore: Combined score for depression, anxiety and stress Happiness: Measure of degree of happiness AlcoholUse: Self-reported: Abstain, Light, Moderate, or Heavy Drinks: Number of alcoholic drinks per week WeekdayBed: Average weekday bedtime (24.0 = midnight) WeekdayRise: Average weekday rise time (8.0 = 8am) WeekdaySleep: Average hours of sleep on weekdays WeekendBed: Average weekend bedtime (24.0 = midnight) WeekendRise: Average weekend rise time (8.0 = 8am) WeekendSleep: Average hours of sleep on weekend days AverageSleep: Average hours of sleep for all days AllNighter: Had an all-nighter this semester? 1 = yes, 0 = no
shleeNov 14, 201627KB2702
Freshmen Intramurals and Academic Success
This data is modeled after the data used in the paper "Academic Success and 1 Year of Intramural Sports Participation by Freshmen Students" (J. College Student Retention: Research, Theory, and Practice, by Kerri Vasold, Lauren Kosowski, and James Pavarnik, Feb. 2019, https://doi.org/10.1177/1521025119833000). The 745 participant/nonparticipant pairs in this worksheet are matched by gender and high school gpa within 0.25. The paper above matches the data on several more variables that have been shown to impact academic success. VARIABLES: Partic Retained: intramural participant retained after freshman year (1=yes, 0=no). Non-Partic Retained: non-participant in intramurals retained after freshman year (1=yes, 0=no).
treilandJul 24, 2019100KB20
Alcohol and GPA
Alcohol is number of times consumed in a typical month.
mastersondMar 1, 2016421B794
GPA and SATs
Ben and Jessica
jboemkerOct 4, 20158KB4284
Gender, Age, Year in College, Hours of Sleep, and GPAkayley_boucherApr 23, 20171KB2971
Seating Choice versus GPAstatcrunchFeb 26, 2009190B1711

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