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i will provide the log on information to you and there are 3 quizzes under 20 questions and one test about 2 tests about 30 questions. remember there is only 1 shot to do these they can not be taken twice so i need to make sure you will finish when you log in. its first week statistics must know statistics please only top rated people i already had a bad experiance not looking for another one
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Case Problem 1 :Quality Associates, Inc.
Case Problem 1Quality Associates, Inc.Quality Associates, Inc., a consulting firm, advises its clients about sampling and statistical procedures that can be used to control their manufacturing processes. In one particular application, a client gave Quality Associates a sample of 800 observations taken during a time in which that client’s process was operating satisfactorily. The sample standard deviation for these data was .21; hence, with so much data, the population standard deviation was assumed to be .21. Quality Associates then suggested that random samples of size 30 be taken periodically to monitor the process on an ongoing basis. By analyzing the new samples, the client could quickly learn whether the process was operating satisfactorily. When the process was not operating satisfactorily, corrective action could be taken to eliminate the problem. The design specification indicated the mean for the process should be 12. The hypothesis test suggested by Quality Associates follows.H0:μ=12Ha:μ≠12Corrective action will be taken any time H0 is rejected.The following samples were collected at hourly intervals during the first day of operation of the new statistical process control procedure. These data are available in the data set Quality.Managerial Report1. Conduct a hypothesis test for each sample at the .01 level of significance and determine what action, if any, should be taken. Provide the test statistic and p-value for each test.2. Compute the standard deviation for each of the four samples. Does the assumption of .21 for the population standard deviation appear reasonable?3. Compute limits for the sample mean x̄ around μ=12 such that, as long as a new sample mean is within those limits, the process will be considered to be operating satisfactorily. If x̄ exceeds the upper limit or if x̄ is below the lower limit, corrective action will be taken. These limits are referred to as upper and lower control limits for quality control purposes.4. Discuss the implications of changing the level of significance to a larger value. What mistake or error could increase if the level of significance is increased?
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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).
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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University of Washington Seattle Chapter 6 Nonlinear Population Models Questions
Could you help me to finish question 10 in the first picture and question 4 and 5 in the following pictures.three question ...
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Could you help me to finish question 10 in the first picture and question 4 and 5 in the following pictures.three questions in total.And for question 4 there is an extracredit (c)part:try to envision what kind of equilibrium point will represent a “stale-mate” but not perish together?please do the extracredit as well.
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In the file there will be directions on the mean vs median worksheet. Calculate mean, median, and mode of various data. 2. ...
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In the file there will be directions on the mean vs median worksheet. Calculate mean, median, and mode of various data. 2.Explore the measures of center (mean, median, and mode) and determine which “average” (mean or median) would be a better representation of data given. 3.Understand that data can be skewed. 4.Apply your knowledge to real-life problems and explain how a single number can represent the nature of data.
Case Problem 1 :Quality Associates, Inc.
Case Problem 1Quality Associates, Inc.Quality Associates, Inc., a consulting firm, advises its clients about sampling and ...
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Case Problem 1Quality Associates, Inc.Quality Associates, Inc., a consulting firm, advises its clients about sampling and statistical procedures that can be used to control their manufacturing processes. In one particular application, a client gave Quality Associates a sample of 800 observations taken during a time in which that client’s process was operating satisfactorily. The sample standard deviation for these data was .21; hence, with so much data, the population standard deviation was assumed to be .21. Quality Associates then suggested that random samples of size 30 be taken periodically to monitor the process on an ongoing basis. By analyzing the new samples, the client could quickly learn whether the process was operating satisfactorily. When the process was not operating satisfactorily, corrective action could be taken to eliminate the problem. The design specification indicated the mean for the process should be 12. The hypothesis test suggested by Quality Associates follows.H0:μ=12Ha:μ≠12Corrective action will be taken any time H0 is rejected.The following samples were collected at hourly intervals during the first day of operation of the new statistical process control procedure. These data are available in the data set Quality.Managerial Report1. Conduct a hypothesis test for each sample at the .01 level of significance and determine what action, if any, should be taken. Provide the test statistic and p-value for each test.2. Compute the standard deviation for each of the four samples. Does the assumption of .21 for the population standard deviation appear reasonable?3. Compute limits for the sample mean x̄ around μ=12 such that, as long as a new sample mean is within those limits, the process will be considered to be operating satisfactorily. If x̄ exceeds the upper limit or if x̄ is below the lower limit, corrective action will be taken. These limits are referred to as upper and lower control limits for quality control purposes.4. Discuss the implications of changing the level of significance to a larger value. What mistake or error could increase if the level of significance is increased?
3 pages
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Many algebra proofs are done using proof by mathematical induction. To demonstrate the power of mathematical induction, we ...
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please show all your work. Thank you so much. I will attach the questions below.
Lincoln University Equations with a Positive Integers Numbers Questions
please show all your work. Thank you so much. I will attach the questions below.
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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