The data analysis process and statistical techniques, Basic Statistics

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I need to conduct an analysis' on an alcohol and substance abuse study. the data set is too large to upload . The data set is the SPSS version that I need to work from. Here is the assignment:

the data set has information( the Spss) on the ADSS study . the independent variables that i need to use are age, gender, race, demographics, number of treatment facilities in each state and the total population of each state given in a year to calculate the rate. for the dependant variable it will be abstinence and improvement. I would like to use ch-I square and t-test to conduct the analysis. Then plz follow the directions below

Analysis The data analysis section of your research manuscript is due by Day 7 of Week 9. In this section, you will include the results of any statistical procedures used with your data to detail the outcomes of your research. Outline the statistical analyses used, the results, and provide a discussion of the results. Reproducing descriptive statistics from a report or peer-reviewed journal article is not acceptable for the data analysis aspect for this assignment. Refer back to what you learned in Biostatistics about analyzing data and reporting the results. Examine how articles used in your literature review reported the outcomes of their data analysis. These resources can assist you as you work through this section. If you have any questions, contact your Instructor. This section of the manuscript should support your research question-the purpose of your research study. You are not required to submit anything this week.

You will submit your data analysis by Day 7 of Week 9 for grading and to receive feedback from the Instructor. Include appropriate tables, graphs, or charts and a write-up of the data analysis procedures and findings.

For this assignment, please describe your data analysis in approximately 2-3 pages:

  • Briefly address the data analysis process.
  • Identify and justify the different statistical techniques that were used to describe and analyze your quantitative data

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