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GCCCD Drugs Successful in Preventing Depression Recurrence Relative to Placebo Lab Report
Learn by DoingIn this activity, you will investigate the first question related to the study described below.Some features ...
GCCCD Drugs Successful in Preventing Depression Recurrence Relative to Placebo Lab Report
Learn by DoingIn 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.CONTEXTClinical 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).VARIABLESHospt: Which hospital the patient was from: Labeled 1, 2, 3, 5 or 6Treat: 0=Lithium; 1=Imipramine; 2=PlaceboOutcome: 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 daysAge: Age in yearsGender: 1=Female 2=MaleDATAIf 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.PROMPTWe 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.LIST OF STATCRUNCH DIRECTIONSEach link will open in a new window. To return to this discussion, either close the new tab or select the tab for this discussion.Create Your Stats-Class Folder in Canvas (You only need to do this once.)Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (no screenshots; please use these directions)Upload Files into Your Stat-Class Folder in CanvasEmbed Pictures in a Discussion Post (no attachments; please use these directions)Create a Two-way Contingency Table with DataCopy & Paste a StatCrunch TableHere is a PDF document with all StatCrunch directions (Links to an external site.).
Precalculus: Analytic Geometry and Algebra - Project 4
If you could assist with the Precalculus: Analytic Geometry and Algebra - Project 4. Needing it for Monday, June 25th. M ...
Precalculus: Analytic Geometry and Algebra - Project 4
If you could assist with the Precalculus: Analytic Geometry and Algebra - Project 4. Needing it for Monday, June 25th. Much appreciated.
10 pages
Regional Vs. National Housing Price Comparison
Purpose: The goal of this analysis is to assess whether attributes of the houses listed in the Pacific region differ signi ...
Regional Vs. National Housing Price Comparison
Purpose: The goal of this analysis is to assess whether attributes of the houses listed in the Pacific region differ significantly from the national ...
Southern New Hampshire Direct Proofs in Natural Deduction Project
Choose two of the arguments below and write a direct proof using the eight rules of inference introduced in section 8.1 of ...
Southern New Hampshire Direct Proofs in Natural Deduction Project
Choose two of the arguments below and write a direct proof using the eight rules of inference introduced in section 8.1 of the textbook. You can do argument 1 or argument 2, but not both, then any of arguments 3–6. Note that commas are used to separate the premises from each other.1. ~M, (~M • ~N) → (Q → P), P → R, ~N, therefore, Q → R2. ~F → ~G, P → ~Q, ~F v P, (~G v ~Q) → (L • M), therefore, L3. ~(Z v Y) → ~W, ~U → ~(Z v Y), (~U → ~W) → (T → S), S → (R v P), [T → (RvP)] → [(~R v K) • ~K], therefore, ~K4. (S v U) • ~U, S → [T • (F v G)], [T v (J • P)] → (~B • E), therefore, S • ~B5. ~X → (~Y → ~Z), X v (W → U), ~Y v W, ~X • T, (~Z v U) → ~S, therefore, (R v ~S) • T6. (C → Q) • (~L → ~R), (S → C) • (~N → ~L), ~Q • J, ~Q → (S v ~N), therefore, ~RNatural deduction is so called because it is a model for how we naturally reason. This often comes as a surprise to students because all of the symbols seem anything but natural. The symbols, however, allow us to focus on the form of the argument without getting bogged down by content. Recall that each sentence letter represents a simple sentence in English.After writing your direct proofs, construct a translation key for your argument by assigning each letter a simple sentence, and use that key to fill in the content of the argument.
I need help with this math assignment
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line fo ...
I need help with this math assignment
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slideSlide 2: Introduce your scenario and data set including the variables provided.Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
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Most Popular Content
GCCCD Drugs Successful in Preventing Depression Recurrence Relative to Placebo Lab Report
Learn by DoingIn this activity, you will investigate the first question related to the study described below.Some features ...
GCCCD Drugs Successful in Preventing Depression Recurrence Relative to Placebo Lab Report
Learn by DoingIn 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.CONTEXTClinical 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).VARIABLESHospt: Which hospital the patient was from: Labeled 1, 2, 3, 5 or 6Treat: 0=Lithium; 1=Imipramine; 2=PlaceboOutcome: 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 daysAge: Age in yearsGender: 1=Female 2=MaleDATAIf 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.PROMPTWe 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.LIST OF STATCRUNCH DIRECTIONSEach link will open in a new window. To return to this discussion, either close the new tab or select the tab for this discussion.Create Your Stats-Class Folder in Canvas (You only need to do this once.)Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (no screenshots; please use these directions)Upload Files into Your Stat-Class Folder in CanvasEmbed Pictures in a Discussion Post (no attachments; please use these directions)Create a Two-way Contingency Table with DataCopy & Paste a StatCrunch TableHere is a PDF document with all StatCrunch directions (Links to an external site.).
Precalculus: Analytic Geometry and Algebra - Project 4
If you could assist with the Precalculus: Analytic Geometry and Algebra - Project 4. Needing it for Monday, June 25th. M ...
Precalculus: Analytic Geometry and Algebra - Project 4
If you could assist with the Precalculus: Analytic Geometry and Algebra - Project 4. Needing it for Monday, June 25th. Much appreciated.
10 pages
Regional Vs. National Housing Price Comparison
Purpose: The goal of this analysis is to assess whether attributes of the houses listed in the Pacific region differ signi ...
Regional Vs. National Housing Price Comparison
Purpose: The goal of this analysis is to assess whether attributes of the houses listed in the Pacific region differ significantly from the national ...
Southern New Hampshire Direct Proofs in Natural Deduction Project
Choose two of the arguments below and write a direct proof using the eight rules of inference introduced in section 8.1 of ...
Southern New Hampshire Direct Proofs in Natural Deduction Project
Choose two of the arguments below and write a direct proof using the eight rules of inference introduced in section 8.1 of the textbook. You can do argument 1 or argument 2, but not both, then any of arguments 3–6. Note that commas are used to separate the premises from each other.1. ~M, (~M • ~N) → (Q → P), P → R, ~N, therefore, Q → R2. ~F → ~G, P → ~Q, ~F v P, (~G v ~Q) → (L • M), therefore, L3. ~(Z v Y) → ~W, ~U → ~(Z v Y), (~U → ~W) → (T → S), S → (R v P), [T → (RvP)] → [(~R v K) • ~K], therefore, ~K4. (S v U) • ~U, S → [T • (F v G)], [T v (J • P)] → (~B • E), therefore, S • ~B5. ~X → (~Y → ~Z), X v (W → U), ~Y v W, ~X • T, (~Z v U) → ~S, therefore, (R v ~S) • T6. (C → Q) • (~L → ~R), (S → C) • (~N → ~L), ~Q • J, ~Q → (S v ~N), therefore, ~RNatural deduction is so called because it is a model for how we naturally reason. This often comes as a surprise to students because all of the symbols seem anything but natural. The symbols, however, allow us to focus on the form of the argument without getting bogged down by content. Recall that each sentence letter represents a simple sentence in English.After writing your direct proofs, construct a translation key for your argument by assigning each letter a simple sentence, and use that key to fill in the content of the argument.
I need help with this math assignment
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line fo ...
I need help with this math assignment
CompetencyDetermine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slideSlide 2: Introduce your scenario and data set including the variables provided.Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
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