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13. m< ABF = m <CBH
14. AD. Top arrow both ways
15. HI. Top arrow both ways
16. GE. Top arrow both ways
Please note that inverted u is AND whereas u is OR is the logic sign.
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Stat.edited
Agency leadership is interested in analyzing the engine sizes of this sample of 750 vehicles. (Use the mean and standard d ...
Stat.edited
Agency leadership is interested in analyzing the engine sizes of this sample of 750 vehicles. (Use the mean and standard deviation of the Engine Size ...
Introduction to Quantitative Analysis: Visually Displaying Data Results
For this Introduction to Quantitative Analysis Assignment, you will explore how to visually display data for optimal use.T ...
Introduction to Quantitative Analysis: Visually Displaying Data Results
For this Introduction to Quantitative Analysis Assignment, you will explore how to visually display data for optimal use.To prepare for this Assignment:Review this week’s Learning Resources and consider visual displays of data.For additional support, review the Skill Builder: Unit of Analysis and the Skill Builder: Levels of Measurement, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources.From the dataset you chose, choose one categorical and one continuous variable and perform the appropriate visual display for each variable.Once you visually display each variable, 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 results and include a copy and paste of the appropriate visual display of the data into your document.Based on the results of your data, provide a brief explanation of what the implications for social change might be.Use appropriate APA format. Refer to the APA manual for appropriate citation.link to the dataset; High School Longitudinal Study dataset https://www.dropbox.com/s/0dkbu4gn28g186p/hs-long-...
University of California Los Angeles Research Design and T Tests Discussion
Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. ...
University of California Los Angeles Research Design and T Tests Discussion
Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will perform an article critique on t tests. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.To prepare for this Discussion:Review the Learning Resources and the media programs related to t tests.Search for and select a quantitative article specific to your discipline and related to t tests. Help with this task may be found in the Course guide and assignment help linked in this week’s Learning Resources. Also, you can use as a guide the Research Design Alignment Table located in this week’s Learning ResourcesWrite a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:Which is the research design used by the authors?Why did the authors use this t test?Do you think it’s the most appropriate choice? Why or why not?Did the authors display the data?Do the results stand alone? Why or why not?Did the authors report effect size? If yes, is this meaningful?
Probabilities of Graduation and Publication, statistics homework help
Instructions In the following study, three different universities have been tracking a select group of professors over the ...
Probabilities of Graduation and Publication, statistics homework help
Instructions In the following study, three different universities have been tracking a select group of professors over the course of their employment at that university to determine the number of students who are in a particular professor’s classes, how many of those students have graduated, and if any of them have had their work published. In the attached Excel file, Probabilities (attached below), are the totals for each of the professors at the three different universities that participated in the study.The purpose of this study is to find the probabilities of graduation and publication for the students in the different professors’ courses. While a causal relationship may not be found between a professor and student graduation or publication, we need to rank the professors based on the different probabilities found with the data sets as described below.Prepare a report (see below) with your ranking of the professors based on the probabilities and conditional probabilities as well as the analysis of each university. Include the following seven (7) items in table format which is provided in the Probabilities file to support your ranking.Note: Be sure to use five (5) decimal places for your probabilities in the table, as some of them will be quite small. Do not convert to percentages as we are interested in probabilities only here.The overall probability of students graduating at each of the three universities.The overall probability of students having a publication at each of the three universities.The overall probability of students having a publication, given that they graduated at each of the three universities.The probability of a student graduating for each professor.The probability of a student having a publication for each professor.The probability of a student having a publication given that they graduated for each professor.Rank the professors within each university for each of the probabilities in 4–6. Then find the sum of the ranks and determine an overall ranking for each professor.Be sure to critically analyze the above calculations in your body paragraphs, explaining how you found each type of probability and then the results you obtained. Be sure to also explain your criteria for ranking in steps 4–7, and defend why you chose that ranking method—as your way might not be the typical method.Paper Requirements Write a report that uses the Written Assignment Requirements under the heading Expectations for CSU-Global Written Assignments found in the CSU-Global Guide to Writing and APA. Items that should be included, but are not limited Items that should be included, at a minimum, are a title page, an introduction, a body which answers the questions posed in the problem, and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. As with all written assignments, you should have in-text citations and a reference page. Please include any tables of calculations, calculated values, and graphs associated with this problem in the body of your assignment response.Note: You must submit your Excel file with your report. This will aid in grading with partial credit if errors are found in the report.
STA 3215 RU Correlation and Regression Scenario and Dataset Presentation
ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Gr ...
STA 3215 RU Correlation and Regression Scenario and Dataset Presentation
ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.
Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis T for Correlation using r as the t statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmDeliverable 6 - Analysis with Correlation and Regression.xlsxUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.
What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slide
Slide 2: Introduce your scenario and data set including the variables provided.
Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.
Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.
Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.
Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.
Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.
Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
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Most Popular Content
10 pages
Stat.edited
Agency leadership is interested in analyzing the engine sizes of this sample of 750 vehicles. (Use the mean and standard d ...
Stat.edited
Agency leadership is interested in analyzing the engine sizes of this sample of 750 vehicles. (Use the mean and standard deviation of the Engine Size ...
Introduction to Quantitative Analysis: Visually Displaying Data Results
For this Introduction to Quantitative Analysis Assignment, you will explore how to visually display data for optimal use.T ...
Introduction to Quantitative Analysis: Visually Displaying Data Results
For this Introduction to Quantitative Analysis Assignment, you will explore how to visually display data for optimal use.To prepare for this Assignment:Review this week’s Learning Resources and consider visual displays of data.For additional support, review the Skill Builder: Unit of Analysis and the Skill Builder: Levels of Measurement, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this week’s Learning Resources.From the dataset you chose, choose one categorical and one continuous variable and perform the appropriate visual display for each variable.Once you visually display each variable, 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 results and include a copy and paste of the appropriate visual display of the data into your document.Based on the results of your data, provide a brief explanation of what the implications for social change might be.Use appropriate APA format. Refer to the APA manual for appropriate citation.link to the dataset; High School Longitudinal Study dataset https://www.dropbox.com/s/0dkbu4gn28g186p/hs-long-...
University of California Los Angeles Research Design and T Tests Discussion
Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. ...
University of California Los Angeles Research Design and T Tests Discussion
Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will perform an article critique on t tests. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.To prepare for this Discussion:Review the Learning Resources and the media programs related to t tests.Search for and select a quantitative article specific to your discipline and related to t tests. Help with this task may be found in the Course guide and assignment help linked in this week’s Learning Resources. Also, you can use as a guide the Research Design Alignment Table located in this week’s Learning ResourcesWrite a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:Which is the research design used by the authors?Why did the authors use this t test?Do you think it’s the most appropriate choice? Why or why not?Did the authors display the data?Do the results stand alone? Why or why not?Did the authors report effect size? If yes, is this meaningful?
Probabilities of Graduation and Publication, statistics homework help
Instructions In the following study, three different universities have been tracking a select group of professors over the ...
Probabilities of Graduation and Publication, statistics homework help
Instructions In the following study, three different universities have been tracking a select group of professors over the course of their employment at that university to determine the number of students who are in a particular professor’s classes, how many of those students have graduated, and if any of them have had their work published. In the attached Excel file, Probabilities (attached below), are the totals for each of the professors at the three different universities that participated in the study.The purpose of this study is to find the probabilities of graduation and publication for the students in the different professors’ courses. While a causal relationship may not be found between a professor and student graduation or publication, we need to rank the professors based on the different probabilities found with the data sets as described below.Prepare a report (see below) with your ranking of the professors based on the probabilities and conditional probabilities as well as the analysis of each university. Include the following seven (7) items in table format which is provided in the Probabilities file to support your ranking.Note: Be sure to use five (5) decimal places for your probabilities in the table, as some of them will be quite small. Do not convert to percentages as we are interested in probabilities only here.The overall probability of students graduating at each of the three universities.The overall probability of students having a publication at each of the three universities.The overall probability of students having a publication, given that they graduated at each of the three universities.The probability of a student graduating for each professor.The probability of a student having a publication for each professor.The probability of a student having a publication given that they graduated for each professor.Rank the professors within each university for each of the probabilities in 4–6. Then find the sum of the ranks and determine an overall ranking for each professor.Be sure to critically analyze the above calculations in your body paragraphs, explaining how you found each type of probability and then the results you obtained. Be sure to also explain your criteria for ranking in steps 4–7, and defend why you chose that ranking method—as your way might not be the typical method.Paper Requirements Write a report that uses the Written Assignment Requirements under the heading Expectations for CSU-Global Written Assignments found in the CSU-Global Guide to Writing and APA. Items that should be included, but are not limited Items that should be included, at a minimum, are a title page, an introduction, a body which answers the questions posed in the problem, and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. As with all written assignments, you should have in-text citations and a reference page. Please include any tables of calculations, calculated values, and graphs associated with this problem in the body of your assignment response.Note: You must submit your Excel file with your report. This will aid in grading with partial credit if errors are found in the report.
STA 3215 RU Correlation and Regression Scenario and Dataset Presentation
ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Gr ...
STA 3215 RU Correlation and Regression Scenario and Dataset Presentation
ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.
Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis T for Correlation using r as the t statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmDeliverable 6 - Analysis with Correlation and Regression.xlsxUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.
What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slide
Slide 2: Introduce your scenario and data set including the variables provided.
Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.
Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.
Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.
Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.
Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.
Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
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