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Graph the following pair of lines on the same
graph:
2x + 3y = 12 and
4x – y = 8
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Plz take a look at this assignment and do it only if u are 100 percent sureu can answer all of them.....there are several files u need to complete the actual graded assingment....i am providing u with all of them.....THE FIRST THREE FILE THAT ARE UPLOADED ARE THE FILES YOU NEED TO FINISH THE ASSINGMENT IT SELF........ THE LAST FILE IS THE FILE WITH THE GRADED ASSINGMENT IN IT......IN THE GRADED ASSIGNMENT FILE...THERE ARE 3 PARTS... IN ORDERFOR THE ASSIGNMENT TO BE COMPLETE ALL THREE PARTS MUST BE COMPLETE SO BE SURE U FINSIH THAT... plz get the correct answers as this is very important.-The first file that is uploaded are the table of random digits that need to be used to answer part one of the graded assignment.-the second file is the flight data that is needed to besically compelte the entire assignment- the third file is the flight delays worksheet which im pretty sure is explained how to finish in part 1 of the graded assingment.- the fourth file is the actual file with the graded assignemnt listed....once u open the file u will need to scrool down to the "graded assignemnt" section. That is where you will find the part 1,2 and 3 that need to be completed.
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Grossmont College Module 11 Treating Depression Lab Independent Variable Analysis
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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).
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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
PUB 550 GCU Calculating Confidence Intervals Excel & SPSS Statistics Report
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Probability and statistics-regular highchool level, homework help
Plz take a look at this assignment and do it only if u are 100 percent sureu can answer all of them.....there are several ...
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Plz take a look at this assignment and do it only if u are 100 percent sureu can answer all of them.....there are several files u need to complete the actual graded assingment....i am providing u with all of them.....THE FIRST THREE FILE THAT ARE UPLOADED ARE THE FILES YOU NEED TO FINISH THE ASSINGMENT IT SELF........ THE LAST FILE IS THE FILE WITH THE GRADED ASSINGMENT IN IT......IN THE GRADED ASSIGNMENT FILE...THERE ARE 3 PARTS... IN ORDERFOR THE ASSIGNMENT TO BE COMPLETE ALL THREE PARTS MUST BE COMPLETE SO BE SURE U FINSIH THAT... plz get the correct answers as this is very important.-The first file that is uploaded are the table of random digits that need to be used to answer part one of the graded assignment.-the second file is the flight data that is needed to besically compelte the entire assignment- the third file is the flight delays worksheet which im pretty sure is explained how to finish in part 1 of the graded assingment.- the fourth file is the actual file with the graded assignemnt listed....once u open the file u will need to scrool down to the "graded assignemnt" section. That is where you will find the part 1,2 and 3 that need to be completed.
9 pages
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Use the same scenario you submitted for the first assignment with modifications using your instructor’s feedback if need ...
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Use the same scenario you submitted for the first assignment with modifications using your instructor’s feedback if needed. Include Table 1: ...
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
Population Parameters Confidence Intervals Statistics Question
Thinking of the many variables tracked by hospitals and doctors' offices, confidence intervals could be created for popula ...
Population Parameters Confidence Intervals Statistics Question
Thinking of the many variables tracked by hospitals and doctors' offices, confidence intervals could be created for population parameters calculated from many of them. What variable and parameter might be most helpful in your work to be able to create an interval that captures the true value of the parameter of patients with 95% confidence?300 wors. 2 references.
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