Answered: You just finished teaching your first…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Background: You just finished teaching your first PSYCH 248 lab section, and it’s time to calculate the grades. Your wonderful teaching assistant created an Excel file with all of the students’ exam grades, homework grade, and lab grade as well as their gender. Your next steps are to calculate each student’s final grade, convert those scores to letter grades, and describe the distribution of scores.

Data Management Steps:

1. Download the CA1_Dataset.csv file from Blackboard.

2. In Excel, calculate the final Number Grade, Letter Grade, and Z-score for each student.

a. To calculate the Number Grade, type a numerical equation after an = sign in a cell or use the =AVERAGE() formula; however, keep in mind that the =AVERAGE() formula will always give you the regular mean, not the weighted mean. Grades for this course are comprised of three parts: lecture exams (60%), homework (20%), and lab (20%).

b. To calculate the Letter Grade, use the =IF() formulawith a series of logic statements or enter the data by hand. For this assignment, let’s convert Number Grade into Letter Grade using the following rubric: A (90-100), B (80-89), C (70-79), D (60-69), F (<60).

c. To calculate the Z-score, use the =STANDARDIZE() formula on the Number Grade variable. This formularequires three components: x (i.e., one student’sNumber Grade), the sample mean, and the sample standard deviation. You can calculate the sample mean and standard deviation for Number Grade using the =AVERAGE() and =STDEV() formulas.

i. Create a new column called Abs(Z-score). In this column, use the =ABS() formula on the Z-score variable you just created to get the absolute values of each Z-score.

3. Now that you have filled in your dataset, save your file and open it in JASP.

a. In the Data View, apply value labels to the Gender variable by clicking on the title of the column and entering the labels accordingly (0=Woman, 1=Man).

b. Make sure that each variable has the correct “column type” (i.e., nominal, ordinal, or scalar).

5. Frequencies

a. How many women were in the class?

b. Paste the frequency table that shows this data below.

6. Percentages

a. What percentage of the class identified as men?

b. How is the Valid Percent column different from the Percent column?

7. Distribution Plots

a. For the Number Grade variable, create a Distribution Plot and apply a density curve. Paste the graph below.

b. Does this plot appear to be fairly normal?

8. Normality/Skewness

a. What is the skewness value for the Number Grade variable?