Signature Assignment :Fictitious Statistical Study

The Signature Assignment for this course provides an opportunity for you to apply your skills and creativity to a self-designed fictitious study that employs statistical analyses and requires you to use your computational, analytical, and interpretive skills. The goal of this project is to allow you to demonstrate your cumulative knowledge from this course and to demonstrate your learning in a scholarly manner.   Required Reading:  Review all course reading and resource as applicable.   Websites:  Reporting Results of Common Statistical Tests in APA Format website  Reporting Statistics in APA Style website   Assignment 8 Signature Assignment – Fictitious Statistical Study  For this activity you will undertake an analysis based on a self-designed fictitious study that utilizes statistical analyses. You will first develop a fictitious problem to examine. It can be anything. For example, maybe you want to look at whether scores on a standardized college placement test (such as the SAT) are related to the level of income a person makes 10 years after college, or whether those who participate in a Leadership Training program were later rated as better managers compared to those who did not take the training, or whether political affiliation is related to gender. These are just a few examples. Be creative and think about what piques your interest. You might also address a problem that you may want to examine in future research for a thesis or dissertation.   Activity Resources  Reporting Results of Common Statistical Tests in APA Format  Reporting Statistics in APA Style   Create and Analyze a Self-Designed Fictitious Study  You will use either Excel or SPSS to conduct the analysis. Write an analysis report in which you must include the following:   Describe your research study.  State a hypothesis.  List and explain the variables you would collect in this study. There must be a minimum of three (3) variables and two (2) must meet the assumptions for a correlational analysis.  Create a fictitious data set that you will analyze. The data should have a minimum of 30 cases, but not more than 50 cases.  Conduct a descriptive data analysis that includes the following: a) a measure of central tendency; b) a measure of dispersion and c) at least one graph.  Briefly interpret the descriptive data analysis.  Conduct the appropriate statistical test that will answer your hypothesis. It must be a statistical test covered in this course such as regression analysis, single t-test, independent t-test, cross-tabulations, Chi-square, or One-Way ANOVA. Explain your justification for using the test based on the type of data and the level of measurement that the data lends to for the statistical analysis.  Report and interpret your findings. Use APA style and include a statement about whether you reject or fail to reject the null hypothesis. Here are some resources that will help you with APA formatting in this step: Reporting Statistics in APA Style and Reporting Results of Common Statistical Tests in APA Format  Copy and paste your Excel or SPSS data output and place it in an appendix to include with your document submission.  Remember, the goal of this project is to show what you have learned in the course. Therefore, this project becomes a cumulative learning project where you can demonstrate what you have learned through all the previous assignments, readings and video presentations that you have watched.   Total Length: 12-15 pages (app. 350 words per page where appropriate)   Your paper should demonstrate thoughtful consideration of the ideas and concepts that are presented in the course and provide new thoughts and insights relating directly to this topic. Your response should reflect scholarly writing and current APA standards. Be sure to adhere to Northcentral University’s Academic Integrity Policy.   Submit your document in the Course Work area below the Activity screen.   Learning Outcomes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11  Assignment Outcomes  Apply different levels of measurements as well as understanding independent/dependent variables in research scenarios.  Construct and interpret graphs and tables to demonstrate analytical proficiency.  Calculate basic descriptive statistics to interpret their meaning in application.  Apply the principles of normal distribution as they relate to a population distribution.  Compare and contrast various aspects of descriptive data analysis and inferential data analysis.  Apply basic probability theory to calculations and hypothesis testing.  Undertake data analysis based on understanding causation versus correlation.  Calculate and utilize confidence intervals and margin of error in population estimation results.  Determine alpha (p-values) values and interpret p-levels as related to statistical significance.  Utilize statistical software to conduct data analysis.  Analyze the use and applicability of statistics in personal, professional, and academic applications, and as a tool for research……………

Originally posted 2016-10-25 09:59:48.

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