Histograms for visual interpretation

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.

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.

  1. 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

  1. Select Variables: In your software, select the variables "GPA" and "Quiz3".

  2. 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.

  3. 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

  1. 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).

  2. 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.