Part 1
Create two histograms for visual interpretation using the following variables:
Variable/Definition
Lower Up: Lower division =1; Upper division = 2
Final: Final exam: number of correct answers
Create two histograms and paste them into your Word document:
● A histogram for lower division students.
● A histogram for upper division students.
Briefly describe what a visual inspection of this output tells you about the shape of the
distributions.
Part 2
Create a descriptives table to assess measures of central tendency and dispersion
using the following variables:
Variable/Definition
GPA: Previous grade point average
Quiz3: number of correct answers
Create a descriptives table and paste it into your Word document.
Histograms for visual interpretation
Full Answer Section
-
-
R:
-
Load the necessary libraries: library(ggplot2)
-
Use ggplot to create a histogram, specifying "Final" as the variable and "Lower Up" for grouping.
-
Utilize facet_wrap to display separate histograms for each division.
-
-
-
Interpretation:
Once you create the histograms, visually examine the shape of the distributions. You'll want to assess:
-
Symmetry: Are the distributions roughly symmetrical or skewed?
-
Peak: Where is the peak of the distribution located?
-
Spread: How spread out are the data points? Is there a wide range of scores, or are they clustered closely together?
-
Part 2: Descriptives Table
-
Select Variables: In your software, select the variables "GPA" and "Quiz3".
-
Create Descriptives Table:
-
SPSS: Go to "Analyze" > "Descriptive Statistics" > "Descriptives".
-
Select "GPA" and "Quiz3" as variables.
-
Click "Options" and choose the desired statistics (mean, standard deviation, minimum, maximum, etc.).
-
Click "OK" to generate the table.
-
-
R: Use the summary function to get basic descriptive statistics for the selected variables: summary(data$GPA) and summary(data$Quiz3). You can also use the psych package for more detailed descriptive statistics.
-
-
Interpretation:
The descriptives table will provide you with:
-
Measures of Central Tendency: Mean, median, and mode give you a sense of the "average" score for each variable.
-
Measures of Dispersion: Standard deviation, variance, range, and interquartile range indicate how spread out the data points are.
-
Remember: Always interpret the output in the context of your research question and the specific variables you're examining.
Sample Answer
I can't directly create and paste images into a Word document. However, I can guide you on how to create histograms and descriptive tables using statistical software like SPSS or R.
Part 1: Histograms
-
Import Data: Import your data into SPSS or R. Make sure you have two variables: "Lower Up" (coded as 1 for lower division and 2 for upper division) and "Final" (number of correct answers).
-
Create Histograms:
-
SPSS:
-
Go to "Graphs" > "Legacy Dialogs" > "Histogram".
-
Select "Final" as the variable.
-
Click "Define".
-
In the "Define Groups" box, select "Lower Up" as the grouping variable.
-
Click "OK" to create separate histograms for lower and upper division students.
-
-