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What is the probability of a four on both throws.(Actual 4 not the sum)
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statistical analysis report using excel data set, grade of C or low B
This is an entry level stats course an I am not doing well so it does not have to be in depth and am only expecting a low ...
statistical analysis report using excel data set, grade of C or low B
This is an entry level stats course an I am not doing well so it does not have to be in depth and am only expecting a low b or c no a. Using scenario 6 Applied psych) scented and unscented trails in the excel files provided create a statistical analysis report using excel data set given. Using a two sample t test, must include null and alternative null written out, must include the following Data Analysis: Chance Factors Data Analysis: Mean and Standard Deviation Data Analysis: Histogram(may need to attach separate excel file with histograms and other graphs). Data Analysis: Shape Hypothesis: Whether One Mean is Higher Hypothesis: Null Hypothesis and Alternative Hypothesis Results: Valid Results: Statistically Significant Results: Graphs(may need to attach separate excel file with histograms and other graphs). Conclusion: Interpretation Data Analysis A. Identify the sample size and explain how it will inform your analysis. In other words, what is the sample size? How will the size of the sample inform your analysis? B. Select what statistical procedures should be implemented in your analysis, and justify why you feel these are appropriate. C. Explain how statistical procedures can help you determine whether the data is attributable to chance factors. D. Compute the mean and the standard deviation for each set of data using appropriate abbreviations and terminology. E. Prepare an appropriately labeled histogram for each set of data. F. Evaluate the shape of each distribution using your created histograms. In other words, what does the shape of each distribution tell us about the data? III. Hypothesis A. Determine whether one mean is higher, showing how you made the determination. B. Identify the null hypothesis and alternative hypothesis using appropriate statistical symbols and language based on what you are comparing. IV. Results A. Based on your results, determine whether the data provide evidence for a valid effect. B. Explain whether or not the results are statistically significant. Support your response with results from the data analysis. C. Present properly labeled graphs representing the data analysis results detailed clearly for ease of stakeholder interpretation
Research Question and Secondary Data Discussion
During this course, you may have read about several different challenges and opportunities of using secondary data. There ...
Research Question and Secondary Data Discussion
During this course, you may have read about several different challenges and opportunities of using secondary data. There is an old, but current dilemma related with the use of secondary data, where researchers are divided on when the research questions should take form, before or after the review of the dataset. As in any other analytical process, you should approach this issue in a logical way; consider all the characteristics of the secondary data and your needs.For this Discussion, you will consider whether the research question should come before or after a review of the secondary data.Critically analyze this week’s Learning Resources.Post a 2- to 3-paragraph evaluation of the relationship between the research question and secondary data. Include the following:Your position on whether it is more important to devise your research question first and then match it with the appropriate secondary data, or to develop your research question after reviewing secondary dataA description of one strength and one limitation to each approach (justify your responses)Support your post with the Learning Resources and current literature. Use APA formatting for your Discussion and to cite your resources.References Kelder, J.-A. (2005). Using someone else’s data: Problems, pragmatics and provisions. Forum: Qualitative Social Research, 6(1), 1–13.Fullerton, S. M., & Lee, S. S. (2011). Secondary uses and the governance of de-identified data: Lessons from the human genome diversity panel. BMC Medical Ethics, 12(1), 16.https://cyfar.org/sites/default/files/McCaston,%202005.pdf
6 pages
Algebra Final Answers
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Algebra Final Answers
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Statistics Chapter 5 Handout
1. Determine which of the following tables of frequencies of colors of M&Ms in a bag is a probability model. For tables th ...
Statistics Chapter 5 Handout
1. Determine which of the following tables of frequencies of colors of M&Ms in a bag is a probability model. For tables that are not probability ...
Walden University Testing for Correlation and Bivariate Regression Paper
Assignment: Testing for Correlation and Bivariate Regression You had the chance earlier in the week to perform an article ...
Walden University Testing for Correlation and Bivariate Regression Paper
Assignment: Testing for Correlation and Bivariate Regression You had the chance earlier in the week to perform an article critique on correlation and simple linear regression and obtain peer feedback. Hopefully you are excited about the potential these tests hold; equally important is that you recognize some of their weaknesses. Now, it is once again time to put all of that good brainstorming to use and answer a social research question with the correlation and simple linear regression. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure that your variables are metric level variables that can easily be interpreted in these tests. For this Assignment, you will examine correlation and bivariate regression testing. To prepare for this Assignment: Review this week’s Learning Resources and media program related to regression and correlation.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.Based on the dataset you chose, construct a research question that can be answered with a Pearson correlation and bivariate regression.Once you perform your correlation and bivariate regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Assignment: Write a 2- to 3-paragraph analysis of your correlation and bivariate regression results for each research question. Do not forget to evaluate if the correlation and bivariate regression assumptions are met and report the effect size. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Refernces Laureate Education (Producer). (2016b). Correlation and bivariate regression [Video file]. Baltimore, MD: Author. Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications. Chapter 12, “Regression and Correlation” (pp. 325-371) Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications. Chapter 8, “Correlation and Regression Analysis” https://academicguides.waldenu.edu/rsch8210 https://rpsychologist.com/index.html
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statistical analysis report using excel data set, grade of C or low B
This is an entry level stats course an I am not doing well so it does not have to be in depth and am only expecting a low ...
statistical analysis report using excel data set, grade of C or low B
This is an entry level stats course an I am not doing well so it does not have to be in depth and am only expecting a low b or c no a. Using scenario 6 Applied psych) scented and unscented trails in the excel files provided create a statistical analysis report using excel data set given. Using a two sample t test, must include null and alternative null written out, must include the following Data Analysis: Chance Factors Data Analysis: Mean and Standard Deviation Data Analysis: Histogram(may need to attach separate excel file with histograms and other graphs). Data Analysis: Shape Hypothesis: Whether One Mean is Higher Hypothesis: Null Hypothesis and Alternative Hypothesis Results: Valid Results: Statistically Significant Results: Graphs(may need to attach separate excel file with histograms and other graphs). Conclusion: Interpretation Data Analysis A. Identify the sample size and explain how it will inform your analysis. In other words, what is the sample size? How will the size of the sample inform your analysis? B. Select what statistical procedures should be implemented in your analysis, and justify why you feel these are appropriate. C. Explain how statistical procedures can help you determine whether the data is attributable to chance factors. D. Compute the mean and the standard deviation for each set of data using appropriate abbreviations and terminology. E. Prepare an appropriately labeled histogram for each set of data. F. Evaluate the shape of each distribution using your created histograms. In other words, what does the shape of each distribution tell us about the data? III. Hypothesis A. Determine whether one mean is higher, showing how you made the determination. B. Identify the null hypothesis and alternative hypothesis using appropriate statistical symbols and language based on what you are comparing. IV. Results A. Based on your results, determine whether the data provide evidence for a valid effect. B. Explain whether or not the results are statistically significant. Support your response with results from the data analysis. C. Present properly labeled graphs representing the data analysis results detailed clearly for ease of stakeholder interpretation
Research Question and Secondary Data Discussion
During this course, you may have read about several different challenges and opportunities of using secondary data. There ...
Research Question and Secondary Data Discussion
During this course, you may have read about several different challenges and opportunities of using secondary data. There is an old, but current dilemma related with the use of secondary data, where researchers are divided on when the research questions should take form, before or after the review of the dataset. As in any other analytical process, you should approach this issue in a logical way; consider all the characteristics of the secondary data and your needs.For this Discussion, you will consider whether the research question should come before or after a review of the secondary data.Critically analyze this week’s Learning Resources.Post a 2- to 3-paragraph evaluation of the relationship between the research question and secondary data. Include the following:Your position on whether it is more important to devise your research question first and then match it with the appropriate secondary data, or to develop your research question after reviewing secondary dataA description of one strength and one limitation to each approach (justify your responses)Support your post with the Learning Resources and current literature. Use APA formatting for your Discussion and to cite your resources.References Kelder, J.-A. (2005). Using someone else’s data: Problems, pragmatics and provisions. Forum: Qualitative Social Research, 6(1), 1–13.Fullerton, S. M., & Lee, S. S. (2011). Secondary uses and the governance of de-identified data: Lessons from the human genome diversity panel. BMC Medical Ethics, 12(1), 16.https://cyfar.org/sites/default/files/McCaston,%202005.pdf
6 pages
Algebra Final Answers
You are on a team of architects. You are charged with building a scale-model replica of one section of a new roller coaste ...
Algebra Final Answers
You are on a team of architects. You are charged with building a scale-model replica of one section of a new roller coaster before construction gets ...
9 pages
Statistics Chapter 5 Handout
1. Determine which of the following tables of frequencies of colors of M&Ms in a bag is a probability model. For tables th ...
Statistics Chapter 5 Handout
1. Determine which of the following tables of frequencies of colors of M&Ms in a bag is a probability model. For tables that are not probability ...
Walden University Testing for Correlation and Bivariate Regression Paper
Assignment: Testing for Correlation and Bivariate Regression You had the chance earlier in the week to perform an article ...
Walden University Testing for Correlation and Bivariate Regression Paper
Assignment: Testing for Correlation and Bivariate Regression You had the chance earlier in the week to perform an article critique on correlation and simple linear regression and obtain peer feedback. Hopefully you are excited about the potential these tests hold; equally important is that you recognize some of their weaknesses. Now, it is once again time to put all of that good brainstorming to use and answer a social research question with the correlation and simple linear regression. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure that your variables are metric level variables that can easily be interpreted in these tests. For this Assignment, you will examine correlation and bivariate regression testing. To prepare for this Assignment: Review this week’s Learning Resources and media program related to regression and correlation.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.Based on the dataset you chose, construct a research question that can be answered with a Pearson correlation and bivariate regression.Once you perform your correlation and bivariate regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Assignment: Write a 2- to 3-paragraph analysis of your correlation and bivariate regression results for each research question. Do not forget to evaluate if the correlation and bivariate regression assumptions are met and report the effect size. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Refernces Laureate Education (Producer). (2016b). Correlation and bivariate regression [Video file]. Baltimore, MD: Author. Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications. Chapter 12, “Regression and Correlation” (pp. 325-371) Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications. Chapter 8, “Correlation and Regression Analysis” https://academicguides.waldenu.edu/rsch8210 https://rpsychologist.com/index.html
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