Data report

This Is the survey link we create https://sfsu.co1.qualtrics.com/jfe/form/SV_8rnpYP5KpKUZFI2

Data report:

• Four single-variable visualizations: Choose four individual questions to create visualizations (graph or chart) to display your survey question results using descriptive statistics. The visualizations can be created in Google Sheets/Excel or another program. You are not allowed to use the Qualtrics graphs for this. For each visualization, your group will provide a narrative interpreting and explaining the results and what conclusion you can draw from the data.

One two-variable comparison visualization: Using your research objectives, select two variables you want to compare to each other, identify the appropriate bivariate statistical test to use, and conduct the analysis using Qualtrics. Provide a visualization (graph or chart) and a narrative interpreting and explaining the p-value and what conclusion you draw from the data.

Note: Qualtrics will give you the p-value, but it will not tell you which bivariate statistical test it used to calculate it so you will need to decide what test is correct on your own.

What to include for your four single-variable data visualizations:

List the survey question and brief summary of data results.

Provide a visualization for each chosen survey question. This can be a histogram/bar chart, pie chart, line chart, scatter chart, etc. Choose the best chart to fit the survey question and display the results. Include a title and label your axes or provide a legend so the data visualization can be read on its own.

• Present the mean and standard deviation for continuous variables or frequency/proportion (%) for categorical variables. Include an explanation of what they tell the reader/audience.

Present an interpretation explaining the results and what conclusions you draw from the data.

What to include for your one two-variable comparison data visualization:

• List the research question being asked by comparing the two variables.

Conduct a correlation coefficient, chi-square test, or t-test/ANOVA depending on the best fit for the survey question. Report the p-value in the written text. Interpret what the p-value tells you.

• Present an interpretation explaining the results and what conclusions you draw from the data.

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