Description Locate a case study or cross-sectional study of interest to you. Create an infographic of it making sure to include information on the subjects, methods and results along with any other important background and/or practical implications. Also include the citation of the paper (i.e., reference).https://adamvirgile.com/infographics-all/ https://ylmsportscience.com/
Description Steps to Complete the Week 7 Lab Step 2: Consider the use of confidence intervals in health sciences with these articles as inspiration and insights. Step 3: Using the data you collected for the Week 5 Lab (heights of 10 different people that you work with plus the 10 heights provided by your instructor), discuss your method of collection for the values that you are using in your study (systematic, convenience, cluster, stratified, simple random). What are some faults with this type of data collection? What other types of data collection could you have used, and how might this have affected your study? Step 4: Now use the Week 6 Spreadsheet to help you with calculations for the following questions/statements. a) Give a point estimate (mean) for the average height of all people at the place where you work. Start by putting the 20 heights you are working with into the blue Data column of the spreadsheet. What is your point estimate, and what does this mean? b) Find a 95% confidence interval for the true mean height of all the people at your place of work. What is the interval? [see screenshot below] c) Give a practical interpretation of the interval you found in part b, and explain carefully what the output means. (For example, you might say, "I am 95% confident that the true mean height of all of the people in my company is between 64 inches and 68 inches"). d) Post a screenshot of your work from the t value Confidence Interval for µ from the Confidence Interval tab on the Week 6 Excel spreadsheet Step 5: Now, change your confidence level to 99% for the same data, and post a screenshot of this table, as well. Step 6: Compare the margins of error from the two screenshots. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.
Description MULTIPLE REGRESSION PROJECT - Introduction- identify Dependent and Independent Variables - Null and Alternative Hypothesis - Residual Analysis-Assumptions of Regression - R Square - Coefficient of Multiple Determination - Fstat-Significance of Overall Regression Model - t stat- Contribution of Each Independent Variable - Conclusion-Based on Above - Appendix- Ph Stat Output (One-Sided)
Description Please respond to the discussion posts attached. The first one is replying to my initial post. The second and third posts require responses to them with additional follow on questions to expand the conversation.
Description PSYC 354 SPSS HOMEWORK:ONE-SAMPLE T TEST AND CUMULATIVE QUESTIONS ASSIGNMENT INSTRUCTIONS OVERVIEW 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. Please review the SPSS Homework Tutorial in this module for directions on how to run the statistical test, as well as the Results Sections in APA Style presentation, which includes a
Description PowerPoint Presentation: Submit a PowerPoint Presentation using the Module One PowerPoint Template. If references are included, they should be cited in APA format. Consult the Shapiro Library APA Style Guide for more information on citations.
Description Looking for an expert who can quickly complete an abstract paragraph with a few guided questions. The assignment was completed but the write-up portion is not sufficient to earn full credit. One of the main questions was about: *What are your thoughts on the finding of this analysis, and what are the practical application(s) of this finding? Elaborate on what the study means, why, how you know, and relate the findings to exercise physiology knowledge. Use references if needed. (Hint- does this study “make sense?” What could influence results?)
Description In this exercise, you'll practice what you learned about completing an independent samples t-test. Open the assignment document for details of what's required for your homework. Use the JASP datafile to work through the assignment. A .csv file is also provided if this is easier for you to import into JASP. App Assignment 6 Indep t test.docx Niehuis Statistics Adaptation Study Data.jasp Niehuis Statistics Adaptation Study Data.csv
Description ABOUT In this assignment you will be creating your own variable and also assess whether it is a nominal, ordinal, or interval-ratio variable. To learn more about variables and levels of measurment be sure to read chapter 1 of our textbook and check out: Video Lesson: The What & Why of Statistics After you have created your variable, you'll decide whether your variable is nominal, ordinal, or interval-ratio and reply to other students about their variables! Let's get started! Instructions 1. State your variable, and describe briefly how you would measure it. variables are characteristics that vary from one person to the next variables can be measured in categories, or numerical values 2. State whether you think your variable is nominal, ordinal, or interval-ratio. Provide an explanation for why you think your variable is nominal, ordinal, or interval-ratio. Use a direct quote from chapter 1 and/or our video lessons. Generally, the more course material you apply, the more points you will earn! 3. Reply to at least 2 other students by comparing your variables and/or making connections to their posts.
