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6 pages
Assignment7
6.1.1 Will the sample mean always correspond to one of the observations in the sample? 6.1.2 Will exactly half of the obse ...
Assignment7
6.1.1 Will the sample mean always correspond to one of the observations in the sample? 6.1.2 Will exactly half of the observations in a sample hill ...
20 pages
Stat
Week 2 some exercises have answers I need to show work, calculations for the results Show all relevant work; use the equat ...
Stat
Week 2 some exercises have answers I need to show work, calculations for the results Show all relevant work; use the equation editor in Microsoft Word ...
MATH 160 Grossmont College Treating Depression Discussion
Module 8 - Treating Depression Lab Part 1 (discussion 1) - Mod 8 Group 2
Learn by Doing
In this activity, you will invest ...
MATH 160 Grossmont College Treating Depression Discussion
Module 8 - Treating Depression Lab Part 1 (discussion 1) - Mod 8 Group 2
Learn by Doing
In this activity, you will investigate the first question related to the study described below.
Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.
Here are the directions and grading rubric for the Learn by Doing discussion board exercises.
A list of StatCrunch directions is provided at the bottom of this page.
CONTEXT
Clinical depression is a recurrent illness requiring treatment and often hospitalization. Nearly 50% of people who have an episode of major depression will have a recurrence within 2-3 years. Being able to prevent the recurrence of depression in people who are at risk for the disease would go a long way to alleviate the pain and suffering of patients.
During the 1980's the federal government, through the National Institutes of Health (NIH), sponsored a large clinical trial to evaluate two drugs for depression. There were 3 treatment groups. Patients received either Imipramine (Imip), Lithium (Li), or a Placebo (Pl). Researchers randomly assigned patients to one of the 3 treatment groups and followed them for 2-4 years to track any recurrences of depression.
(Prien et al., Archives of General Psychiatry, 1984).
VARIABLES
Hospt: Which hospital the patient was from: Labeled 1, 2, 3, 5 or 6
Treat: 0=Lithium; 1=Imipramine; 2=Placebo
Outcome: 0=Success 1=Failure (recurrence of depression)
Time: Number of weeks until a recurrence (if outcome=1) or until study ended (if outcome=0)
AcuteT: How long the patient was depressed before the start of the current study, measured in days
Age: Age in years
Gender: 1=Female 2=Male
DATA
If you have not done so already, download the depression datafile (as always, if a login box opens, just close it and then download the file). Then upload the file in StatCrunch.
PROMPT
We will analyze the data to answer the 1st research question: Which of the drugs (if either) was more successful in preventing the recurrence of depression relative to the placebo?
In the previous lab-preparation activity, we determined that we will analyze the data using a two-way table and conditional percentages.
Use StatCrunch to produce a two-way contingency table. (directions)
Copy the table in your StatCrunch output window and paste it in your initial discussion post. (directions)
After you paste the content of the your StatCrunch output window into your discussion post, keep the table titled Contingency table results: and delete the Chi-Square results: table.
Analyze the data in your two-way table by finding appropriate conditional percentages. Write each conditional percentage as a ratio (e.g. 25 out of 40) and as a percentage (e.g. 25/40 = 62.5%). Then write a sentence that explains the meaning of the percentage in the context of the research question.
Draw a conclusion. Based on this study, which drug was the most effective in preventing the recurrence of depression? Support your conclusion using conditional percentages.
Benchmark Assignment. Excel and Word.
Review "Benchmark Assignment - Data Analysis Case Study" and "Benchmark Assignment - Data Analysis Case Study Data" for th ...
Benchmark Assignment. Excel and Word.
Review "Benchmark Assignment - Data Analysis Case Study" and "Benchmark Assignment - Data Analysis Case Study Data" for this topic's case study, evaluating operations for a local restaurant.Although your friend and restauranteur Michael Tanaglia offered to go over your findings in person, you believe it would be appropriate to also prepare a report and document your findings in writing. In a 1,000-1,250-word report, explain your approach for each evaluation and the rationale for the methods you used. Include any recommendations based on customer satisfaction, forecasting, and staff scheduling data.Use an Excel spreadsheet file for the calculations and explanations. Cells should contain the formulas (i.e., if a formula was used to calculate the entry in that cell). Students are highly encouraged to use the "Benchmark Assignment - Data Analysis Case Study Template" and "Benchmark Assignment - Data Analysis Case Study Linear Programming Template" to complete this assignment.Mac users can use StatPlus:mac LE, free of charge, from AnalystSoft.Prepare the assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.You are required to submit this assignment to Turnitin. Please refer to the directions in the Student Success Center
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Most Popular Content
6 pages
Assignment7
6.1.1 Will the sample mean always correspond to one of the observations in the sample? 6.1.2 Will exactly half of the obse ...
Assignment7
6.1.1 Will the sample mean always correspond to one of the observations in the sample? 6.1.2 Will exactly half of the observations in a sample hill ...
20 pages
Stat
Week 2 some exercises have answers I need to show work, calculations for the results Show all relevant work; use the equat ...
Stat
Week 2 some exercises have answers I need to show work, calculations for the results Show all relevant work; use the equation editor in Microsoft Word ...
MATH 160 Grossmont College Treating Depression Discussion
Module 8 - Treating Depression Lab Part 1 (discussion 1) - Mod 8 Group 2
Learn by Doing
In this activity, you will invest ...
MATH 160 Grossmont College Treating Depression Discussion
Module 8 - Treating Depression Lab Part 1 (discussion 1) - Mod 8 Group 2
Learn by Doing
In this activity, you will investigate the first question related to the study described below.
Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.
Here are the directions and grading rubric for the Learn by Doing discussion board exercises.
A list of StatCrunch directions is provided at the bottom of this page.
CONTEXT
Clinical depression is a recurrent illness requiring treatment and often hospitalization. Nearly 50% of people who have an episode of major depression will have a recurrence within 2-3 years. Being able to prevent the recurrence of depression in people who are at risk for the disease would go a long way to alleviate the pain and suffering of patients.
During the 1980's the federal government, through the National Institutes of Health (NIH), sponsored a large clinical trial to evaluate two drugs for depression. There were 3 treatment groups. Patients received either Imipramine (Imip), Lithium (Li), or a Placebo (Pl). Researchers randomly assigned patients to one of the 3 treatment groups and followed them for 2-4 years to track any recurrences of depression.
(Prien et al., Archives of General Psychiatry, 1984).
VARIABLES
Hospt: Which hospital the patient was from: Labeled 1, 2, 3, 5 or 6
Treat: 0=Lithium; 1=Imipramine; 2=Placebo
Outcome: 0=Success 1=Failure (recurrence of depression)
Time: Number of weeks until a recurrence (if outcome=1) or until study ended (if outcome=0)
AcuteT: How long the patient was depressed before the start of the current study, measured in days
Age: Age in years
Gender: 1=Female 2=Male
DATA
If you have not done so already, download the depression datafile (as always, if a login box opens, just close it and then download the file). Then upload the file in StatCrunch.
PROMPT
We will analyze the data to answer the 1st research question: Which of the drugs (if either) was more successful in preventing the recurrence of depression relative to the placebo?
In the previous lab-preparation activity, we determined that we will analyze the data using a two-way table and conditional percentages.
Use StatCrunch to produce a two-way contingency table. (directions)
Copy the table in your StatCrunch output window and paste it in your initial discussion post. (directions)
After you paste the content of the your StatCrunch output window into your discussion post, keep the table titled Contingency table results: and delete the Chi-Square results: table.
Analyze the data in your two-way table by finding appropriate conditional percentages. Write each conditional percentage as a ratio (e.g. 25 out of 40) and as a percentage (e.g. 25/40 = 62.5%). Then write a sentence that explains the meaning of the percentage in the context of the research question.
Draw a conclusion. Based on this study, which drug was the most effective in preventing the recurrence of depression? Support your conclusion using conditional percentages.
Benchmark Assignment. Excel and Word.
Review "Benchmark Assignment - Data Analysis Case Study" and "Benchmark Assignment - Data Analysis Case Study Data" for th ...
Benchmark Assignment. Excel and Word.
Review "Benchmark Assignment - Data Analysis Case Study" and "Benchmark Assignment - Data Analysis Case Study Data" for this topic's case study, evaluating operations for a local restaurant.Although your friend and restauranteur Michael Tanaglia offered to go over your findings in person, you believe it would be appropriate to also prepare a report and document your findings in writing. In a 1,000-1,250-word report, explain your approach for each evaluation and the rationale for the methods you used. Include any recommendations based on customer satisfaction, forecasting, and staff scheduling data.Use an Excel spreadsheet file for the calculations and explanations. Cells should contain the formulas (i.e., if a formula was used to calculate the entry in that cell). Students are highly encouraged to use the "Benchmark Assignment - Data Analysis Case Study Template" and "Benchmark Assignment - Data Analysis Case Study Linear Programming Template" to complete this assignment.Mac users can use StatPlus:mac LE, free of charge, from AnalystSoft.Prepare the assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.You are required to submit this assignment to Turnitin. Please refer to the directions in the Student Success Center
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