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This week, you learned how to call in a dataset, run frequency distributions for your chosen variables and select the columns (i.e. variables), and possibly rows (i.e. observations). This week’s assignment will give you the opportunity to display what you’ve learned as you run your first program and start focusing on your selected data set in relation to your research question.
Your assessment will be based on the evidence you provide that you have completed all of the steps. When relevant, gradients in the scoring will be available to reward clarity (for example, you will get one point for submitting output that is not understandable, but two points if it is understandable). In all cases, consider that the peer assessing your work is likely not an expert in the field you are analyzing. You will be assessed equally on your description of your frequency distributions.
Specific rubric items, and their point values, are as follows:
Continue with the dataset you’ve been working with.
STEP 1: Run your first program. This program will be used throughout the remainder of the course and become the basis of your data analysis going forward.
Be sure to correct any errors highlighted in the program.
STEP 2: Run frequency distributions for your chosen variables and select columns, and possibly rows.
Your output should be interpretable (i.e. organized and labeled).
WHAT TO SUBMIT:
Following completion of your first program, create a blog entry where you post 1) your program 2) the output that displays three of your variables as frequency tables and 3) a few sentences describing your frequency distributions in terms of the values the variables take, how often they take them, the presence of missing data, etc.
I hope this Running Your First Program Peer-graded Assignment Solution would be useful for you to learn something new from this Course. If it helped you then don’t forget to bookmark our site for more peer graded solutions.
This course is intended for audiences of all experiences who are interested in learning about new skills in a business context; there are no prerequisite courses.
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