Two One-Sample t-Tests in SPSS

VERVIEW
This assignment is designed to increase your statistical literacy and proficiency in conducting and interpreting the one-sample t test, as well as to assess your cumulative knowledge of SPSS work in the course. You will be completing two one-sample t tests in SPSS, using data that are
related to specific research scenarios in the behavioral sciences, such as psychology, social work, and counseling. You will also be completing three more problem sets that assess SPSS procedures learned in previous modules. Behind-the-scenes knowledge of how the one-sample t test is conducted is fundamental to being able to understand and apply research in your related field to your practice. Additionally, SPSS skills are professionally valuable, as it is one of the most commonly used statistical software packages in behavioral science settings, both academic and professional.
INSTRUCTIONS
 To access the homework problems for this assignment, please download the SPSS Homework: One-Sample t-Test and Cumulative Questions Template document linked on the SPSS Homework: One-Sample t-Test and Cumulative Questions
Assignment page.
 This assignment includes five problem sets that contain research scenarios and related questions: two for the one-sample t test, and three cumulative problem sets.
 ALL variable names in your SPSS data files must include your initials, so that they show up in your SPSS output and graph. For example, for someone with the initials ABC creating a variable of memory scores, the variable could be named “ABC_mem_scores” or “Mem_Scores_ABC”, etc.
 For each scenario, you will run an analysis in SPSS. The required product for the one- sample t test will include the SPSS output, an APA-style Results section describing the results, and the appropriate graph inserted as a Figure in current APA style.
 For the cumulative problem sets, paste your SPSS output directly into the homework underneath each relevant question. Typewritten answers into the document underneath the question to which they relate.
 For all t test problems, interpret results based on an alpha level of  = .05.