Part 1 — Identifying Variables in a Published Study

Describing and Graphing Data
Part 1 — Identifying Variables in a Published Study
Choose an article from the list provided.

All articles are available in full text in the Walden Library. You may also read the abstract for each by copy and pasting the full DOI address into a web browser. Read the abstract for your chosen article then answer the questions that follow. Be sure to provide an explanation for each of your answers and include supporting evidence from the text and/or Learning Resources.

Write responses to address the following in paragraph form by inserting your answers directly beneath the questions.

1. In your own words, briefly describe the study and what it covered as if explaining it to someone who has not read the abstract information.

2. What sample was used in the study? Explain your answer and provide supporting evidence from the textbook or other resources.

3. What population does this sample best represent? Explain your answer and provide supporting evidence from the textbook or other resources.

4. Identify at least one variable examined in this study. Classify this variable as quantitative or qualitative. Explain your answer and provide supporting evidence from the textbook or other resources.

5. Explain the level of measure for the variable identified in Section 4. Explain your answer and provide supporting evidence from the textbook or other resources.

6. Determine if the study is overall a quantitative or qualitative study. Justify your reasoning using at least two key aspects for the type of study you chose. Explain your answer and provide supporting evidence from the textbook or other resources.

Part 2 — Data Analysis

The following should be based on the data set you created from the larger BODY DATA data set using the instructions provided.

Creating Graphical Displays of Data
Replace this text with your Excel output created using the following instructions:

1. Using the column labeled Smoker (not sorted by smoking status), create an appropriate graphical display to clearly show the breakdown of smokers and nonsmokers in your data set. Be sure to label your graph appropriately.

2. Copy and paste your graph from Excel here. Write a one-sentence interpretation of what the graph display.

3. Create a histogram for the column labeled BMI (not broken down by smoking status). Use a bin width of 2. Start the bins at your minimum data point as appropriate for your data set. Be sure to label your graph appropriately.

4. Write a one-sentence interpretation of what the graph display.

5. Create two modified box plots for BMI, one for smokers one for nonsmokers. Be sure to label your graph appropriately.

6. Copy and paste your graph from excel here. Write a one-sentence interpretation of what the graph display.

Descriptive statistics
Replace this text with your Excel output created using the following instructions:

Use the data analysis tool pack to create two tables of descriptive statistics, one for smokers and one for nonsmokers using the columns created in step 7 in the preparation section. Copy and paste those statistics here.

Comparing data
Replace this text with your response to the following:

Use these statistics to answer the following questions comparing smokers to nonsmokers. Be sure to provide values from your Excel output to support your reasoning.

1. Which group has an BMI that is typically higher? Be sure to write at least one sentence justifying your reasoning including values from the excel output.

2. Which group has greater variation in their BMI? Be sure to write at least one sentence justifying your reasoning including values from the excel output.

3. Do you suspect any outliers are present in the BMI for each group? Be sure to justify your reasoning.

References
Include appropriately formatted references to scholarly sources to support the statements made in your report. Please refer to the Academic Writing Expectations Checklist for more information.

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