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GC MOD 8 Treating Depression Lithium and The Placebo Group Project
Prompt
We will analyze the data to answer the second research question: Which of the drugs (if either) delayed the recurre ...
GC MOD 8 Treating Depression Lithium and The Placebo Group Project
Prompt
We will analyze the data to answer the second research question: Which of the drugs (if either) delayed the recurrence of depression longer relative to the placebo?
In the previous lab-preparation activity, we identified Treat as the explanatory variable and Time as the response variable. We also determined that we will analyze the data using side-by-side boxplots and descriptive statistics (i.e. 5-number summaries since the graphs are boxplots).
Make graphs and tables.
Use StatCrunch to produce side-by-side boxplots. (directions)
Embed your graphs with your initial post.
Use StatCrunch to produce the descriptive statistics (a table containing the 5-number summaries for each comparison group). (directions)
Copy and paste the StatCrunch output table into your initial post.
Analyze the data: Compare the distributions for the treatment groups as demonstrated in Unit 2. For example, compare medians and intervals of typical values. Describe the shape and any outliers. Be sure to write your comparisons so the reader can understand the context of the numbers. For example, don't just say the median is 30; instead, say something like this: on average patients taking the placebo relapsed in 30 days (Q2=30 days).
Draw a conclusion: What can we conclude from your analysis? Did one drug successfully delay a relapse of depression better than the others? What evidence supports your conclusion?
Summarize your conclusions in response to both research questions: In this lab you compared three treatments (two drugs and the placebo) using two different variables. In Part 1 you compared whether or not a relapse into depression occurred for each of the two drugs and the placebo. In Part 2 you compared the length of time until the next relapse for the two drugs and the placebo. What can you conclude in light of both analyses? Is one treatment better than the other? How does the data support your conclusion?
This is the side by side that I have made in question
Summary statistics for AcuteT:
Group by: Treat
Treat n Mean Variance Std. dev. Std. err. Median Range Min Max Q1 Q3 0 37 172.62162 6446.7973 80.29195 13.199915 173 393 48 441 114 211 1 38 183.65789 6782.1771 82.353974 13.359579 166.5 381 47 428 131 212 2 34 202.11765 10590.168 102.90854 17.648669 163.5 442 70 512 140 246
9 pages
Descriptive Statistics And Data Visualizations Final
The ultimate objective of the administration in a nursing home is higher patient satisfaction, higher utilization, and low ...
Descriptive Statistics And Data Visualizations Final
The ultimate objective of the administration in a nursing home is higher patient satisfaction, higher utilization, and lower readmission. The purpose ...
Introduction to Quantitative Analysis Descriptive Analysis
Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between ...
Introduction to Quantitative Analysis Descriptive Analysis
Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between the proper use of summary statistics for categorical and continuous level data. In this exercise, you will explore what output is provided for each of these variables and provide some meaning from these statistics for your reader. The ability to place the statistics into a context that your reader understands and can make sense of is a highly desirable skill.For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables you used from your Week 2 Assignment and perform the appropriate descriptive analysis of the data given.To prepare for this Assignment:Review this week’s Learning Resources and the Central Tendency and Variability media program.For additional support, review the Skill Builder: Measures of Central Tendency for Continuous Variables, Skill Builder: Standard Deviation as a Measure of Variability for Continuous Variables and the Skill Builder: Measures of Central Tendency and Variability for Categorical Variables, 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 from your Assignment in Week 2.Choose the same two variables you chose from your Week 2 Assignment and perform the appropriate descriptive analysis of the data.Once you perform your descriptive analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.Write a 2- to 3-paragraph analysis of your descriptive analysis results and include a copy and paste your output from your analysis into your final 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, citations and referencing. Refer to the APA manual for appropriate citation.
BUS 308 Ashford University Week 3 Statistical Analysis Discussion
Step 1: Read:Review Case Problem 1: Air Force Training Program downloadfrom Chapter 11 of the ebook.Step 2: Do:Run the F-T ...
BUS 308 Ashford University Week 3 Statistical Analysis Discussion
Step 1: Read:Review Case Problem 1: Air Force Training Program downloadfrom Chapter 11 of the ebook.Step 2: Do:Run the F-Test Two-Sample for Variances for the Data File Training (Chapter 11) using the video How to Add Excel's Data Analysis ToolPak (Links to an external site.) for assistance.In a managerial report,Use appropriate descriptive statistics to summarize the training time data for each method. What similarities or differences do you observe from the sample data?Conduct a hypothesis test on the difference between the population means for the two methods. Discuss your findings.Compute the standard deviation and variance for each training method. Conduct a hypothesis test about the equality of population variances for the two training methods. Discuss your findings.Explain what conclusion you can reach about any differences between the two methods. What is your recommendation? Explain.Suggest other data or testing that might be desirable before making a final decision on the training program to be used in the future.Step 3: Discuss:What did you find in your analysis of the data? Were there any surprising results? What recommendations would you make based on your findings? Include details from your managerial report to support your recommendations.350 words
Data Analysis Help ASAP
Data_AJ_DAVIS.xla Keep in mind that I will need help with the other parts, and will come back to you for assistance s ...
Data Analysis Help ASAP
Data_AJ_DAVIS.xla Keep in mind that I will need help with the other parts, and will come back to you for assistance so be reasonable with your offer price. PART A: Exploratory Data AnalysisFor each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, the measures of dispersion, and the shapes of the distributions (for the quantitative variables) for the above data. Where appropriate, use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use excel as appropriate, and explain what the results mean.Analyze the connections or relationships between the variables. There are ten possible pairings of two variables. Use graphical as well as numerical summary measures. Explain what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.Prepare the report in Microsoft Word, integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report.In particular, what I want you do is to highlight what you see for three individual variables (no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), the shapes of the distributions for quantitative variables, and two or three sentences of interpretation). For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one of your pairings must include the qualitative variable and at least one of your pairings must not include the qualitative variable.Format for report:Brief IntroductionDiscuss your 1st individual variable, using graphical, numerical summary and interpretationDiscuss your 2nd individual variable, using graphical, numerical summary and interpretationDiscuss your 3rd individual variable, using graphical, numerical summary and interpretationDiscuss your 1st pairing of variables, using graphical, numerical summary and interpretationDiscuss your 2nd pairing of variables, using graphical, numerical summary and interpretationDiscuss your 3rd pairing of variables, using graphical, numerical summary and interpretationConclusionPart A Grading RubricCategoryPoints%DescriptionThree Individual Variables - 12pts. each3636graphical analysis, numerical analysis (when appropriate) and interpretationThree Relationships - 15 pts. each4545graphical analysis, numerical analysis (when appropriate) and interpretationCommunication Skills1919writing, grammar, clarity, logic, cohesiveness, adherence to the above formatTotal100100A quality paper will meet or exceed all of the above requirements.
STAT 202 Drexel University Significance of the Intercept Questions
Solve these 3 stats questions and show work. Use of software R is required to complete the last question. All other inform ...
STAT 202 Drexel University Significance of the Intercept Questions
Solve these 3 stats questions and show work. Use of software R is required to complete the last question. All other information is attached with the questions. All answers will need to be in the answer template.
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Most Popular Content
GC MOD 8 Treating Depression Lithium and The Placebo Group Project
Prompt
We will analyze the data to answer the second research question: Which of the drugs (if either) delayed the recurre ...
GC MOD 8 Treating Depression Lithium and The Placebo Group Project
Prompt
We will analyze the data to answer the second research question: Which of the drugs (if either) delayed the recurrence of depression longer relative to the placebo?
In the previous lab-preparation activity, we identified Treat as the explanatory variable and Time as the response variable. We also determined that we will analyze the data using side-by-side boxplots and descriptive statistics (i.e. 5-number summaries since the graphs are boxplots).
Make graphs and tables.
Use StatCrunch to produce side-by-side boxplots. (directions)
Embed your graphs with your initial post.
Use StatCrunch to produce the descriptive statistics (a table containing the 5-number summaries for each comparison group). (directions)
Copy and paste the StatCrunch output table into your initial post.
Analyze the data: Compare the distributions for the treatment groups as demonstrated in Unit 2. For example, compare medians and intervals of typical values. Describe the shape and any outliers. Be sure to write your comparisons so the reader can understand the context of the numbers. For example, don't just say the median is 30; instead, say something like this: on average patients taking the placebo relapsed in 30 days (Q2=30 days).
Draw a conclusion: What can we conclude from your analysis? Did one drug successfully delay a relapse of depression better than the others? What evidence supports your conclusion?
Summarize your conclusions in response to both research questions: In this lab you compared three treatments (two drugs and the placebo) using two different variables. In Part 1 you compared whether or not a relapse into depression occurred for each of the two drugs and the placebo. In Part 2 you compared the length of time until the next relapse for the two drugs and the placebo. What can you conclude in light of both analyses? Is one treatment better than the other? How does the data support your conclusion?
This is the side by side that I have made in question
Summary statistics for AcuteT:
Group by: Treat
Treat n Mean Variance Std. dev. Std. err. Median Range Min Max Q1 Q3 0 37 172.62162 6446.7973 80.29195 13.199915 173 393 48 441 114 211 1 38 183.65789 6782.1771 82.353974 13.359579 166.5 381 47 428 131 212 2 34 202.11765 10590.168 102.90854 17.648669 163.5 442 70 512 140 246
9 pages
Descriptive Statistics And Data Visualizations Final
The ultimate objective of the administration in a nursing home is higher patient satisfaction, higher utilization, and low ...
Descriptive Statistics And Data Visualizations Final
The ultimate objective of the administration in a nursing home is higher patient satisfaction, higher utilization, and lower readmission. The purpose ...
Introduction to Quantitative Analysis Descriptive Analysis
Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between ...
Introduction to Quantitative Analysis Descriptive Analysis
Assignment: Introduction to Quantitative Analysis: Descriptive AnalysisIn this Assignment, you will differentiate between the proper use of summary statistics for categorical and continuous level data. In this exercise, you will explore what output is provided for each of these variables and provide some meaning from these statistics for your reader. The ability to place the statistics into a context that your reader understands and can make sense of is a highly desirable skill.For this Introduction to Quantitative Analysis: Descriptive Analysis Assignment, you will examine the same two variables you used from your Week 2 Assignment and perform the appropriate descriptive analysis of the data given.To prepare for this Assignment:Review this week’s Learning Resources and the Central Tendency and Variability media program.For additional support, review the Skill Builder: Measures of Central Tendency for Continuous Variables, Skill Builder: Standard Deviation as a Measure of Variability for Continuous Variables and the Skill Builder: Measures of Central Tendency and Variability for Categorical Variables, 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 from your Assignment in Week 2.Choose the same two variables you chose from your Week 2 Assignment and perform the appropriate descriptive analysis of the data.Once you perform your descriptive analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.Write a 2- to 3-paragraph analysis of your descriptive analysis results and include a copy and paste your output from your analysis into your final 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, citations and referencing. Refer to the APA manual for appropriate citation.
BUS 308 Ashford University Week 3 Statistical Analysis Discussion
Step 1: Read:Review Case Problem 1: Air Force Training Program downloadfrom Chapter 11 of the ebook.Step 2: Do:Run the F-T ...
BUS 308 Ashford University Week 3 Statistical Analysis Discussion
Step 1: Read:Review Case Problem 1: Air Force Training Program downloadfrom Chapter 11 of the ebook.Step 2: Do:Run the F-Test Two-Sample for Variances for the Data File Training (Chapter 11) using the video How to Add Excel's Data Analysis ToolPak (Links to an external site.) for assistance.In a managerial report,Use appropriate descriptive statistics to summarize the training time data for each method. What similarities or differences do you observe from the sample data?Conduct a hypothesis test on the difference between the population means for the two methods. Discuss your findings.Compute the standard deviation and variance for each training method. Conduct a hypothesis test about the equality of population variances for the two training methods. Discuss your findings.Explain what conclusion you can reach about any differences between the two methods. What is your recommendation? Explain.Suggest other data or testing that might be desirable before making a final decision on the training program to be used in the future.Step 3: Discuss:What did you find in your analysis of the data? Were there any surprising results? What recommendations would you make based on your findings? Include details from your managerial report to support your recommendations.350 words
Data Analysis Help ASAP
Data_AJ_DAVIS.xla Keep in mind that I will need help with the other parts, and will come back to you for assistance s ...
Data Analysis Help ASAP
Data_AJ_DAVIS.xla Keep in mind that I will need help with the other parts, and will come back to you for assistance so be reasonable with your offer price. PART A: Exploratory Data AnalysisFor each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of summarization. Use MINITAB as much as possible, explaining what the printout tells you. You may wish to use some of the following graphs: stem-leaf diagram, frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables, nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, the measures of dispersion, and the shapes of the distributions (for the quantitative variables) for the above data. Where appropriate, use the five number summary (the Min, Q1, Median, Q3, Max). Once again, use excel as appropriate, and explain what the results mean.Analyze the connections or relationships between the variables. There are ten possible pairings of two variables. Use graphical as well as numerical summary measures. Explain what you see. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.Prepare the report in Microsoft Word, integrating your graphs and tables with text explanations and interpretations. Be sure that you have graphical and numerical back up for your explanations and interpretations. Be selective in what you include in the report.In particular, what I want you do is to highlight what you see for three individual variables (no more than 1 graph for each, one or two measures of central tendency and variability (as appropriate), the shapes of the distributions for quantitative variables, and two or three sentences of interpretation). For the 10 pairings, identify and report only on three of the pairings, again using graphical and numerical summary (as appropriate), with interpretations. Please note that at least one of your pairings must include the qualitative variable and at least one of your pairings must not include the qualitative variable.Format for report:Brief IntroductionDiscuss your 1st individual variable, using graphical, numerical summary and interpretationDiscuss your 2nd individual variable, using graphical, numerical summary and interpretationDiscuss your 3rd individual variable, using graphical, numerical summary and interpretationDiscuss your 1st pairing of variables, using graphical, numerical summary and interpretationDiscuss your 2nd pairing of variables, using graphical, numerical summary and interpretationDiscuss your 3rd pairing of variables, using graphical, numerical summary and interpretationConclusionPart A Grading RubricCategoryPoints%DescriptionThree Individual Variables - 12pts. each3636graphical analysis, numerical analysis (when appropriate) and interpretationThree Relationships - 15 pts. each4545graphical analysis, numerical analysis (when appropriate) and interpretationCommunication Skills1919writing, grammar, clarity, logic, cohesiveness, adherence to the above formatTotal100100A quality paper will meet or exceed all of the above requirements.
STAT 202 Drexel University Significance of the Intercept Questions
Solve these 3 stats questions and show work. Use of software R is required to complete the last question. All other inform ...
STAT 202 Drexel University Significance of the Intercept Questions
Solve these 3 stats questions and show work. Use of software R is required to complete the last question. All other information is attached with the questions. All answers will need to be in the answer template.
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