Task:
Please provide a short 200-word response to the following question below. Please include a scholarly reference and an in-text citation with the response.
Share information about any statistical analysis software that you used in the process of the data analysis and results. Did the software work according to your plan? Were the graphs/figures as expected?
Answer/Additional Info:
Although we are still collecting data due to the projection still being in the implementation phase. We expect to use Microsoft Excel, which has built-in statistical analysis capabilities through its “Data Analysis ToolPak” add-in, which allows users to perform a variety of statistical calculations like descriptive statistics, t-tests, regression analysis, hypothesis testing, and more, making it a basic statistical analysis tool for many users. Excel also produces graphs and figures; as of now, the graphs for the baseline data are presenting well as expected.
We will be using Excel to submit the pre-post implementation data. We will use an independent T-test to ensure validity.
Key points about using Excel for an independent t-test:
- Data Analysis Toolpack: You must activate the “Data Analysis” add-in within Excel to access the t-test function.
- Accessing the tool: Go to the “Data” tab, then click “Data Analysis”.
- Selecting the test: Choose “t-test: Two-Sample Assuming Equal Variances” if you believe the variances of the two groups are similar.
- Inputting data: Specify the ranges of data for the two groups you want to compare.
- Interpreting results: The output will include the t-statistic, p-value, and confidence intervals, which you can use to determine if there is a statistically significant difference between the groups.