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Paper Helicopter
The present paper describes the optimal configuration that is necessary for the helicopter that provides the longest fligh ...
Paper Helicopter
The present paper describes the optimal configuration that is necessary for the helicopter that provides the longest flight time with maximum ...
Statistics Treating Depression Recurrence Relative to The Placebo Lab Part 1 Discussion
Learn by Doing
In this activity, you will investigate the first question related to the study described below.
Some ...
Statistics Treating Depression Recurrence Relative to The Placebo Lab Part 1 Discussion
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.
Rasmussen College Heart Rate Analysis Using Confidence Interval Discussion
nstructionsIn this assignment, you will calculate confidence intervals for the quantitative variables in the Heart Rate Da ...
Rasmussen College Heart Rate Analysis Using Confidence Interval Discussion
nstructionsIn this assignment, you will calculate confidence intervals for the quantitative variables in the Heart Rate Dataset.StepsOpen the Heart Rate Dataset in Excel and identify the quantitative variablesMake sure the data is sorted by category (e.g.male-at-rest, female at-rest, etc.)Use the Data Analysis tools of Excel to construct 95% and 99% confidence intervals for all 8 categories of the sorted quantitative variables. Excel will calculate the margin of error given as the “confidence interval” in the output. Use this margin of error to create your 8 confidence intervals by both adding and subtracting it from the sample mean (calculated in unit 3). This creates a range of values that is the confidence interval.Create a Word document, and use your calculated results to explain what the confidence intervals tell us. What do these confidence intervals tell us about our heart rate data? How would you interpret the 95% and 99% intervals for resting heart rate?Compare the 99% and 95% intervals and explain why one is larger than the other even though we use the same sample mean value.Additional Instructions:Your assignment should be typed into a Word or other word processing document, formatted in APA style. The assignments must includeRunning headA title page withAssignment nameYour nameProfessor’s nameCourse
Find the margin of error if p = 71% and n = 100. Round to four decimal places, homework help
Find the margin of error if p = 71% and n = 100. Round to four decimal places.A. 0.2204B. 0.0041C. 0.0848D. 0.0908
Find the margin of error if p = 71% and n = 100. Round to four decimal places, homework help
Find the margin of error if p = 71% and n = 100. Round to four decimal places.A. 0.2204B. 0.0041C. 0.0848D. 0.0908
Savannah Technical College Accounting Equation Discussion
In this week’s discussion, we will introduce the basic accounting equation. Understanding the relationship between the e ...
Savannah Technical College Accounting Equation Discussion
In this week’s discussion, we will introduce the basic accounting equation. Understanding the relationship between the equation’s key components is essential in learning accounting. Those components are assets, liabilities, and equity. We will also introduce basic transactions within a company that can occur, and how those transactions are recorded. Finally, we look at the 4 basic financial statements and their particular importance.1). Define and discuss the accounting equation and each of its components. 2). Give an example of a typical business transaction and discuss its impact on the accounting equation (Your explanation should describe which account(s) are increasing/decreasing and whether those accounts were "debited or credited").3). Finally, list and discuss the importance of each of the 4 basic financial statements.
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Most Popular Content
10 pages
Paper Helicopter
The present paper describes the optimal configuration that is necessary for the helicopter that provides the longest fligh ...
Paper Helicopter
The present paper describes the optimal configuration that is necessary for the helicopter that provides the longest flight time with maximum ...
Statistics Treating Depression Recurrence Relative to The Placebo Lab Part 1 Discussion
Learn by Doing
In this activity, you will investigate the first question related to the study described below.
Some ...
Statistics Treating Depression Recurrence Relative to The Placebo Lab Part 1 Discussion
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.
Rasmussen College Heart Rate Analysis Using Confidence Interval Discussion
nstructionsIn this assignment, you will calculate confidence intervals for the quantitative variables in the Heart Rate Da ...
Rasmussen College Heart Rate Analysis Using Confidence Interval Discussion
nstructionsIn this assignment, you will calculate confidence intervals for the quantitative variables in the Heart Rate Dataset.StepsOpen the Heart Rate Dataset in Excel and identify the quantitative variablesMake sure the data is sorted by category (e.g.male-at-rest, female at-rest, etc.)Use the Data Analysis tools of Excel to construct 95% and 99% confidence intervals for all 8 categories of the sorted quantitative variables. Excel will calculate the margin of error given as the “confidence interval” in the output. Use this margin of error to create your 8 confidence intervals by both adding and subtracting it from the sample mean (calculated in unit 3). This creates a range of values that is the confidence interval.Create a Word document, and use your calculated results to explain what the confidence intervals tell us. What do these confidence intervals tell us about our heart rate data? How would you interpret the 95% and 99% intervals for resting heart rate?Compare the 99% and 95% intervals and explain why one is larger than the other even though we use the same sample mean value.Additional Instructions:Your assignment should be typed into a Word or other word processing document, formatted in APA style. The assignments must includeRunning headA title page withAssignment nameYour nameProfessor’s nameCourse
Find the margin of error if p = 71% and n = 100. Round to four decimal places, homework help
Find the margin of error if p = 71% and n = 100. Round to four decimal places.A. 0.2204B. 0.0041C. 0.0848D. 0.0908
Find the margin of error if p = 71% and n = 100. Round to four decimal places, homework help
Find the margin of error if p = 71% and n = 100. Round to four decimal places.A. 0.2204B. 0.0041C. 0.0848D. 0.0908
Savannah Technical College Accounting Equation Discussion
In this week’s discussion, we will introduce the basic accounting equation. Understanding the relationship between the e ...
Savannah Technical College Accounting Equation Discussion
In this week’s discussion, we will introduce the basic accounting equation. Understanding the relationship between the equation’s key components is essential in learning accounting. Those components are assets, liabilities, and equity. We will also introduce basic transactions within a company that can occur, and how those transactions are recorded. Finally, we look at the 4 basic financial statements and their particular importance.1). Define and discuss the accounting equation and each of its components. 2). Give an example of a typical business transaction and discuss its impact on the accounting equation (Your explanation should describe which account(s) are increasing/decreasing and whether those accounts were "debited or credited").3). Finally, list and discuss the importance of each of the 4 basic financial statements.
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