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Boston Marathon
1. Make a scatterplot of the Boston marathon data using years vs. time (in minutes)of both the men’s and women’s data ...
Boston Marathon
1. Make a scatterplot of the Boston marathon data using years vs. time (in minutes)of both the men’s and women’s data in the same scatter plot.
Find the product. (2n + 1)(2n - 1)(n + 5)
Find the product.
(2n + 1)(2n - 1)(n + 5)A. 4n3 + 20n2 - n - 5B. 4n3 + 19n - n - 5C. 4n3 + 19n2 - n - 5D. 4n3 + 20n2 - 2n ...
Find the product. (2n + 1)(2n - 1)(n + 5)
Find the product.
(2n + 1)(2n - 1)(n + 5)A. 4n3 + 20n2 - n - 5B. 4n3 + 19n - n - 5C. 4n3 + 19n2 - n - 5D. 4n3 + 20n2 - 2n - 5
3 pages
20210328165513activity 5 A Case Study Of Paying Extra Principal On A Mortgage Student Worksheet 2
A Case Study of Paying Extra Principal on a Mortgage Place your answers from the procedure and analysis here: b. By adding ...
20210328165513activity 5 A Case Study Of Paying Extra Principal On A Mortgage Student Worksheet 2
A Case Study of Paying Extra Principal on a Mortgage Place your answers from the procedure and analysis here: b. By adding this 1/12 to the required ...
How to divide polynomials
Simplify the expression.a. b. c. d. 6ab - 15ab^3Simplify the expression.a. b.  ...
How to divide polynomials
Simplify the expression.a. b. c. d. 6ab - 15ab^3Simplify the expression.a. b. c. d. Simplify the expression. a. b. c. d. Which of the following shows how you would correctly set up the following problem to divide using synthetic division. a. b. c. d. Which of the following shows the solution when the following synthetic division model is set up?a. b. c. d. Simplify the expression a. b. x-3c. d. Simplify the expression a. 3t2 -2t +3b. c. d. Simplify the expression.a. b. c. d. Divde.a. b. c. d. Divde.a. b. c. d.
Grossmont College Module 11 Treating Depression Lab Independent Variable Analysis
Context
https://www.statcrunch.com/app/index.php?dataid=35...
Clinical depression is a recurrent illness requiring t ...
Grossmont College Module 11 Treating Depression Lab Independent Variable Analysis
Context
https://www.statcrunch.com/app/index.php?dataid=35...
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 1980s 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 the 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 already done so, open the depression data set in the Stats at Cuyamaca College group on StatCrunch (directions - opens in a new tab).
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 into the textbox, and be sure to include the Alt Text. To recall how to embed a picture into a textbox, see the StatCrunch directions below.
Use StatCrunch to produce the descriptive statistics (a single table containing the 5-number summaries for each comparison group). (directions)
Copy and paste the StatCrunch output table into the textbox.
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
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Most Popular Content
2 pages
Boston Marathon
1. Make a scatterplot of the Boston marathon data using years vs. time (in minutes)of both the men’s and women’s data ...
Boston Marathon
1. Make a scatterplot of the Boston marathon data using years vs. time (in minutes)of both the men’s and women’s data in the same scatter plot.
Find the product. (2n + 1)(2n - 1)(n + 5)
Find the product.
(2n + 1)(2n - 1)(n + 5)A. 4n3 + 20n2 - n - 5B. 4n3 + 19n - n - 5C. 4n3 + 19n2 - n - 5D. 4n3 + 20n2 - 2n ...
Find the product. (2n + 1)(2n - 1)(n + 5)
Find the product.
(2n + 1)(2n - 1)(n + 5)A. 4n3 + 20n2 - n - 5B. 4n3 + 19n - n - 5C. 4n3 + 19n2 - n - 5D. 4n3 + 20n2 - 2n - 5
3 pages
20210328165513activity 5 A Case Study Of Paying Extra Principal On A Mortgage Student Worksheet 2
A Case Study of Paying Extra Principal on a Mortgage Place your answers from the procedure and analysis here: b. By adding ...
20210328165513activity 5 A Case Study Of Paying Extra Principal On A Mortgage Student Worksheet 2
A Case Study of Paying Extra Principal on a Mortgage Place your answers from the procedure and analysis here: b. By adding this 1/12 to the required ...
How to divide polynomials
Simplify the expression.a. b. c. d. 6ab - 15ab^3Simplify the expression.a. b.  ...
How to divide polynomials
Simplify the expression.a. b. c. d. 6ab - 15ab^3Simplify the expression.a. b. c. d. Simplify the expression. a. b. c. d. Which of the following shows how you would correctly set up the following problem to divide using synthetic division. a. b. c. d. Which of the following shows the solution when the following synthetic division model is set up?a. b. c. d. Simplify the expression a. b. x-3c. d. Simplify the expression a. 3t2 -2t +3b. c. d. Simplify the expression.a. b. c. d. Divde.a. b. c. d. Divde.a. b. c. d.
Grossmont College Module 11 Treating Depression Lab Independent Variable Analysis
Context
https://www.statcrunch.com/app/index.php?dataid=35...
Clinical depression is a recurrent illness requiring t ...
Grossmont College Module 11 Treating Depression Lab Independent Variable Analysis
Context
https://www.statcrunch.com/app/index.php?dataid=35...
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 1980s 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 the 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 already done so, open the depression data set in the Stats at Cuyamaca College group on StatCrunch (directions - opens in a new tab).
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 into the textbox, and be sure to include the Alt Text. To recall how to embed a picture into a textbox, see the StatCrunch directions below.
Use StatCrunch to produce the descriptive statistics (a single table containing the 5-number summaries for each comparison group). (directions)
Copy and paste the StatCrunch output table into the textbox.
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
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