# Assignment 1 - [[EDUC 7215]] Jethro Jones See this assignment online at [DrJethro.com](https://drjethro.com/Assignments/Assignment+1+-+EDUC+7215) ## Assignment Directions Assignment 1 (20 points) The dataset used for this assignment (and subsequent assignments) was created from a Value-Belief-Norm (VBN) Theory-based survey designed to assess the factors that influence pro-environmental behavior in the Missouri area.  I will provide more details about this study as the semester progresses. The dataset is an Excel file named: [[EDUC7215_Assignment_Dataset.xlsx]].  You will find under Modules -> Assignments on our Canvas page. You need to upload it into your SAS Profile Folder in the Cloud so SAS Studio can access it.  There are three worksheets in the Excel workbook: Final Data, ReadMe, and Coding Description.  The ReadMe and Coding Description worksheets contain details about all the variables in the dataset. The Final Data worksheet contains the data, and you need to type “Final Data” in the “Worksheet Name” box in the Import Data pane.  Also, you can change the Output Data name from “Import” to whatever you choose; I chose “Behavior”. Once you click the Run icon, the dataset will be loaded into SAS Studio (these are the same steps that I described in the lecture ppt & video for Chapter 5).  There are many variables in the dataset, but we will only use a few of them for this assignment.  Now you are ready for data analysis! For this assignment, ## calculate descriptive statistics for pro-environmental behavior (PEB) and personal norms (PN), and be sure to include a histogram and box plot for both variables (see example problem 6.1). - ![[download.png]] - ![[download.png]] - ![[download-2.png]] - ![[download-3.png]] - Secondly, describe the distribution of PEB using a Q-Q plot (see example problem 6.2).  ![[download-4.png]] - Thirdly, compute the frequency tables for Gender and Race, omitting plots and cumulative frequencies (see example problem 6.3) (Note: Gender has three values: 0 = males, 1 = females, 3 = non-binary, and Race has six values: 1=American Indian or Alaskan Native, 2=Asian, 3=African American, 5=Caucasian, 6=More than one race, 7=Other).  - ![[download-6.png]] | race | | | | | | ---- | --------- | ------- | ------------------------- | ----------------------- | | race | Frequency | Percent | Cumulative <br>Frequency | Cumulative <br>Percent | | 1 | 2 | 0.54 | 2 | 0.54 | | 2 | 17 | 4.56 | 19 | 5.09 | | 3 | 82 | 21.98 | 101 | 27.08 | | 5 | 247 | 66.22 | 348 | 93.30 | | 6 | 19 | 5.09 | 367 | 98.39 | | 7 | 6 | 1.61 | 373 | 100.00 | ![[download-5.png]] | race | | | | ---- | --------- | ------- | | race | Frequency | Percent | | 1 | 2 | 0.54 | | 2 | 17 | 4.56 | | 3 | 82 | 21.98 | | 5 | 247 | 66.22 | | 6 | 19 | 5.09 | | 7 | 6 | 1.61 | - Lastly, generate a horizontal Box & Whisker plot for PEB using Gender as the category variable for males and females only (see example problem 6.4). You will need to create a filter to remove Gender=3 from the analysis.  Also, - change the minimum and maximum values of the analysis axis to be 1 and 5, respectively (to mimic the range of the Likert Scale for PEB).  And I made it orange, too. - ![[download-7.png]] - You can make these changes to the appearance of your horizontal Box & Whisker Plot by going to the Appearance tab and selecting Analysis Axis. Use the [[Chapter 6 Problems.pdf]] as a template for how I want your assignment to appear. ## Assignment