Creating Visual Displays

Instructions For each of the variables that are used in your research questions, create single numerical and graphical summaries using SPSS. Note that the type of numerical and graphical summary that is appropriate for a given variable is related to its data type as described below: Data Type Numerical summary Graphical Summary Categorical Table of frequencies and percentages Bar chart Continuous Means, standard deviation, and sample size Histogram or boxplot Then, for each of the two-variable associations described in your research questions, create appropriate numerical and graphical summaries as shown below: Data Type Numerical summary Graphical Summary Continuous-continuous Correlation Scatterplot Categorical-categorical Two-way contingency table with frequencies and percentages Two-way Table is acceptable (be familiar with what a mosaic plot is) Continuous-categorical Means, standard deviation, and sample size of the continuous variable for each category Side by side box plots of the continuous variable for each category Examine the numerical and graphical summaries you created. Provide a one-sentence verbal summary for each indicating what it tells you about the data. Once you have completed these steps, you will submit the research questions, numerical summaries, graphical summaries, and verbal summaries all in a single Word document. Use a separate heading for each research question. Your document should be approximately 1-2 pages in length. If you use references, use of current APA formatting is required. All tables and graphs must be clearly labeled. Research questions with varables: Research Question 1: Is there a correlation between BMI (BMI) and total serum cholesterol levels (TOTCHOL) in women aged 50 and below? Explanatory Variable: BMI (continuous interval) Response Variable: Total serum cholesterol levels (continuous interval) Research Question 2: Is there an association between current smoking status (CURSMOKE) and hypertension (HYPERTEN) in women aged 50 or younger? Explanatory Variable: Smoking status (categorical-dichotomous) Response Variable: Hypertension status (categorical-dichotomous) Research Questions M2.1 Engage: Finalizing Research Questions Search entries or author... Search entries or author... Filter by All Due Sep 8 100 points 22 Replies, 5 Unread 22 Replies (5) Discussion Topic: M2.1 Engage: Finalizing Research QuestionsM2.1 Engage: Finalizing Research Questions Engage Referring back to the feedback you received from your peers and your instructor on your potential research questions and their associated variables, finalize three research questions relating to your selected dataset. Make sure the variables used in the final questions you select are of the following format: Continuous response and continuous explanatory variable Categorical response and categorical explanatory variable Continuous response and categorical explanatory variable (note: the categorical variable must be dichotomous for this question) Each research question should have a clear explanatory and response variable. Review, as necessary, the Laerd Statistics Links to an external site.reading from last week which explains data types and the difference between response variables (also referred to as dependent or outcome variables) and explanatory variables (also referred to as independent or predictor variables). Then, in your initial post, list your three finalized research questions, indicating the variable types. For example, using data from the Framingham Heart Study dataset, one question might be: "Is there a significant difference in total serum cholesterol levels [TOTCHOL] (continuous-ratio) (response) between smokers and non-smokers [CURSMOKE] (categorical-dichotomous) (explanatory)?’" In your response posts to your peers, provide feedback on their finalized research questions, which will become the foundation of each student’s final project. Consider the following questions as you review your peers' research questions: Is each research question clearly stated? Does each research question relate to the dataset? Do the three research questions meet the data type requirements? Does each research question identify response and explanatory variables correctly? Engaging Discussion Expectations References Discussion Guidance Netiquette and Discussion Posting Guide Outcomes RubricDownload Rubric Return to Module 2 Learning Pathway Sep 5 7:09pm Last reply Sep 7 2:47pm Reply from KASSANDRA L NERO M2.1 Engage: Finalizing Research Questions I have derived three last research questions from the women's dataset of 50 years and younger regarding their BMI, smoking, cholesterol, hypertension, and diabetes. Research Question 1: Is there a correlation between BMI (BMI) and total serum cholesterol levels (TOTCHOL) in women aged 50 and below? Explanatory Variable: BMI (continuous interval) Response Variable: Total serum cholesterol levels (continuous interval) Research Question 2: Is there an association between current smoking status (CURSMOKE) and hypertension (HYPERTEN) in women aged 50 or younger? Explanatory Variable: Smoking status (categorical-dichotomous) Response Variable: Hypertension status (categorical-dichotomous) Research Question 3: Is there an association between BMI (BMI) and diabetes (DIABETES) status in women aged 50 or younger? Explanatory Variable: Diabetes status (categorical-dichotomous) Response Variable: BMI (continuous-interval)