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Showing 1 to 15 of 30 data sets matching CLASSROOM
Data Set/Description Owner Last edited Size Views
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, 20182KB2203
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, 201810KB2311
AMSTAT Census at School
This is a random sample (n=250) from the AMSTAT Census at School classroom project.
squesenJul 14, 201520KB1444
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, 20101KB5218
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, 2010465B2509
Years of Classroom Teaching Experience
These data represent the years of experience of prekindergarten through 8th grade teachers attending a summer professional development workshop, 2013 Suggested uses: - Make a histogram or pie chart. - Make a stemplot. - Compute the measures of central tendency and the five-number summary.
stephenAug 27, 2013267B832
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, 20157KB7304
Improving Reading Ability
Results of an experiment to test whether directed reading activities in the classroom help elementary school students improve aspects of their reading ability. A treatment class of 21 third-grade students participated in these activities for eight weeks, and a control class of 23 third-graders followed the same curriculum without the activities. After the eight-week period, students in both classes took a Degree of Reading Power (DRP) test which measures the aspects of reading ability that the treatment is designed to improve. Number of cases: 44 Reference: Moore, David S., and George P. McCabe (1989). Introduction to the Practice of Statistics [Two sample t-test , Summary statistics]
VariableDescription
Treatment Whether student participated in activities (treated) or not (control)
ResponseScore on Degree of Reading Power test
statcrunchhelpSep 4, 2014527B1128
Cereal Brands - S. Lohse
This data was posted as a shared data set on StatCrunch by owner ntorno8. I am using it as a classroom example in my statistics classes. Data on several variable of different brands of cereal. Number of cases: 77 Variable Names: Name: Name of cereal mfr: Manufacturer of cereal where A = American Home Food Products; G = General Mills; K = Kelloggs; N = Nabisco; P = Post; Q = Quaker Oats; R = Ralston Purina type: cold or hot calories: calories per serving protein: grams of protein fat: grams of fat sodium: milligrams of sodium fiber: grams of dietary fiber carbo: grams of complex carbohydrates sugars: grams of sugars potass: milligrams of potassium vitamins: vitamins and minerals - 0, 25, or 100, indicating the typical percentage of FDA recommended shelf: display shelf (1, 2, or 3, counting from the floor) weight: weight in ounces of one serving cups: number of cups in one serving rating: a rating of the cereals
slohse9395May 17, 20174KB648
Maria's Data Analysis
Maria's Classroom data to be used for the Sampling Variability Project
ninibb1Jun 14, 20162KB333
edit#gid=0
As part of the Math Leadership Corp (MLC) collaborative process, Teachers continually use student formative and summative data to improve their instructional practice and influence their colleagues through research informed coaching, co-planning, classroom observations, demonstrations and critical reflection of practice. Being part of the MLC program, Ms. Garcia’s has researched the role that questioning plays in the classroom from a students’ perspective. Using research she read from Make One Change, teach students to ask questions, she has decided to teach “students, rather than teachers, assume responsibility for posing questions”. She will gather categorical data to see if 80% of 8th grade students feel that asking questions in a math classroom is helpful and whether their is a relationship between asking questions and higher performance on math assessments. The first and second column: I found that posing and asking questions is helpful Helpful (1) just another thing to do (2) not helpful (0) I found that taking notes after discussing the questions with my peers was... Helpful (1) just another thing to do (2) not helpful (0) Third column are Interim scores Fourth column Interim scale Fifth column-- students who asked questions on Interim Sixth column-- students grades on in class assessment Seventh column -- students who asked questions on class assessment
ninibb1Jun 21, 201662KB258
Yellow/Green exam data
Students were randomly assigned to a version of an exam (Yellow or Green) when they entered the classroom. Afterwards, both sets of students complained about the exam saying their version was harder. Using a randomization approach, determine if the observed data shown above verifies this claim.
websterwestMar 11, 2010201B477
Improving Reading Ability
Results of an experiment to test whether directed reading activities in the classroom help elementary school students improve aspects of their reading ability. A treatment class of 21 third-grade students participated in these activities for eight weeks, and a control class of 23 third-graders followed the same curriculum without the activities. After the eight-week period, students in both classes took a Degree of Reading Power (DRP) test which measures the aspects of reading ability that the treatment is designed to improve. Number of cases: 44 Reference: Moore, David S., and George P. McCabe (1989). Introduction to the Practice of Statistics[Two sample t-test , Summary statistics]
VariableDescription
Treatment Whether student participated in activities (treated) or not (control)
Response Score on Degree of Reading Power test
ds-231%scAug 11, 2008571B388
Reading data
Results of an experiment to test whether directed reading activities in the classroom help elementary school students improve aspects of their reading ability. A treatment class of 21 third-grade students participated in these activities for eight weeks, and a control class of 23 third-graders followed the same curriculum without the activities. After the eight-week period, students in both classes took a Degree of Reading Power (DRP) test which measures the aspects of reading ability that the treatment is designed to improve.
Reference: Moore, David S., and George P. McCabe (1989). Introduction to the Practice of Statistics.
Original source: Schmitt, Maribeth C., The Effects on an Elaborated Directed Reading Activity on the Metacomprehension Skills of Third Graders, Ph.D. dissertation, Purdue University, 1987.
ColumnDescription
Control Control group values
Treatment Treatment group values
sampleuserMay 25, 2007156B341
Classroom Data to Explorecspellmann1Sep 5, 2018915B43

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