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sin(-x0 = -sinx, cos(-x) = cosx
sin(-x) cos(-x) = -sinx cosx = -1/2 sin2x.
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Most Popular Content
13 pages
Criminal Justice Policy Making
Ethics is one of the essential factors to be Focusing on the criminal gangs during the process of This is caused by the co ...
Criminal Justice Policy Making
Ethics is one of the essential factors to be Focusing on the criminal gangs during the process of This is caused by the complex nature of correctional
MATH 160 Cuyamaca College Module 8 Treating Depression with Drugs Lab Report
Progress CheckUse this activity to assess whether you and your peers can: Create a contingency table in StatCrunch.Use con ...
MATH 160 Cuyamaca College Module 8 Treating Depression with Drugs Lab Report
Progress CheckUse this activity to assess whether you and your peers can: Create a contingency table in StatCrunch.Use conditional percentages to analyze the data in a contingency table.Draw conclusions based on the analysis of the data in a contingency table.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.Use the rubric at the bottom of this page as a guide for completing this assignment.A list of StatCrunch directions is provided after the Prompt section below.DirectionsSubmit your work:Carefully read all sections below (beginning with the Context section and ending with the Prompt section).Commit a good-faith effort to address all items in the Prompt section below. Please be sure to number your responses.If directed to do so, embed all required StatCrunch output in your initial submission. Please do not submit StatCrunch output as an attachment.Complete your assigned peer reviews:After you submit your initial good-faith attempt, continue to the ANSWER(S) page and review your instructor's response. But please do not submit your corrected work yet.Within three days after the due date, return to this assignment and complete your assigned peer reviews (directions (Links to an external site.)).Submit your corrected work:We all learn from mistakes (our own and our classmates' mistakes). So please do not immediately correct your own mistakes. If possible, wait until you receive feedback from at least one of your peers. If necessary, correct your work and resubmit the entire assignment - including any required StatCrunch output. Your instructor will only review and grade your most recent submission, so please do not refer to a previous submission.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. Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (no screenshots; please use these directions)Upload Files to Your Stats-Class Folder in CanvasEmbed Pictures in a Textbox (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.).RubricPeer Reviewed Assignment w/ StatCrunchPeer Reviewed Assignment w/ StatCrunchCriteriaRatingsPtsThis criterion is linked to a Learning OutcomeAddressing the Prompt6 ptsFull MarksAll parts of the Prompt are addressed. Answers are correct. Statistical vocabulary is used appropriately. Writing is clear and thought process is easy to follow.4 ptsPartial CreditSome parts of the prompt are not addressed, are incorrect, or are unclear.0 ptsNo MarksThe prompt is not addressed.6 ptsThis criterion is linked to a Learning OutcomeStatCrunch Data2 ptsFull MarksAppropriate StatCrunch graphs and/or tables are provided as directed.1 ptsPartial CreditStatCrunch graphs and tables are inappropriate or missing important information.0 ptsNo MarksNo StatCrunch information is provided.2 ptsThis criterion is linked to a Learning OutcomeIndividual Penalty0 ptsNo individual penalty-1 ptsIndividual penalty.Please see the instructor comments for more information.0 ptsThis criterion is linked to a Learning OutcomePeer Reviews2 ptsFull MarksYou completed all assigned peer reviews (maximum of 2). For each peer review, the points you assigned in the rubric are appropriate. You included comments explaining the score you posted in the rubric. If you deducted points in the rubric, your comments explain what the author needs to do to earn a higher grade when the teacher grades the assignment.1 ptsPartial CreditCommitted a good-faith effort to provide a high-quality peer review, but many necessary instructive comments are missing.0 ptsNo MarksNo peer review provided or the comments are not instructive.2 ptsTotal Points: 10
Scatter Plot, Linear Regression and R Value
Topic 1: Scatter Plot, Linear Regression and R ValueView Full Description Hi Everyone,Open excelIn one column enter 8 heig ...
Scatter Plot, Linear Regression and R Value
Topic 1: Scatter Plot, Linear Regression and R ValueView Full Description Hi Everyone,Open excelIn one column enter 8 heights for 10 year old boys (inches) and in the second column enter 8 weights for 10 year old boys (pounds). Ten year old boys height ranges from 42 inches to 62 inches while the weight ranges from 60 to 90 pounds. You can make these up as long as they are reasonable if you do not have access to any data. We want to see if there is a correlation.Move your mouse to put a box around the numbers.From the insert menu select scatter or the chart that says scatter and then select the chart at the top left on the dropdownClick on one of the pointsSelect Add TrendlineThe default radio button is linear, keep it checkedCheck display equation on chart and click on the display r-squared valueThe equation is your least squares lineOn the least squares line the slope is in front of the x value. Also, you can look at the slope of the scatter plot to see if the slope is positive. This will let you know whether to make the r value positive or negative when you take the square root of r^2.If the r^2 value is say .0382 then you will click on an excel cell and type=.0382^.5Note the ^ key is above the 6 keyThis will be your r value and you will make it negative if your slope is negative otherwise leave it positive.If you have a different version of excel then you may want to search to see how to form a trendline. These instructions work with Office 365 and Office 2010.Then follow these instructions:Attach your scatter plot if possible. What did you get for your regression line? What was your r value? What did this tell you?What would be a scenario where you might need to use this application?Be sure to comment on at least 2 classmates.Instructions: Your initial post should be at least 250 words. Please respond to at least 2 other students. Responses should be a minimum of 100 words and include direct questions.
University of California San Diego Quantitative Methods in Business Problems
please use the following resources and follow the requirments to solve the questions, need to use R studio to complete. pl ...
University of California San Diego Quantitative Methods in Business Problems
please use the following resources and follow the requirments to solve the questions, need to use R studio to complete. please solve the questions for hw10 and ec2. rest of them might help you to solve the questions
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Most Popular Content
13 pages
Criminal Justice Policy Making
Ethics is one of the essential factors to be Focusing on the criminal gangs during the process of This is caused by the co ...
Criminal Justice Policy Making
Ethics is one of the essential factors to be Focusing on the criminal gangs during the process of This is caused by the complex nature of correctional
MATH 160 Cuyamaca College Module 8 Treating Depression with Drugs Lab Report
Progress CheckUse this activity to assess whether you and your peers can: Create a contingency table in StatCrunch.Use con ...
MATH 160 Cuyamaca College Module 8 Treating Depression with Drugs Lab Report
Progress CheckUse this activity to assess whether you and your peers can: Create a contingency table in StatCrunch.Use conditional percentages to analyze the data in a contingency table.Draw conclusions based on the analysis of the data in a contingency table.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.Use the rubric at the bottom of this page as a guide for completing this assignment.A list of StatCrunch directions is provided after the Prompt section below.DirectionsSubmit your work:Carefully read all sections below (beginning with the Context section and ending with the Prompt section).Commit a good-faith effort to address all items in the Prompt section below. Please be sure to number your responses.If directed to do so, embed all required StatCrunch output in your initial submission. Please do not submit StatCrunch output as an attachment.Complete your assigned peer reviews:After you submit your initial good-faith attempt, continue to the ANSWER(S) page and review your instructor's response. But please do not submit your corrected work yet.Within three days after the due date, return to this assignment and complete your assigned peer reviews (directions (Links to an external site.)).Submit your corrected work:We all learn from mistakes (our own and our classmates' mistakes). So please do not immediately correct your own mistakes. If possible, wait until you receive feedback from at least one of your peers. If necessary, correct your work and resubmit the entire assignment - including any required StatCrunch output. Your instructor will only review and grade your most recent submission, so please do not refer to a previous submission.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. Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (no screenshots; please use these directions)Upload Files to Your Stats-Class Folder in CanvasEmbed Pictures in a Textbox (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.).RubricPeer Reviewed Assignment w/ StatCrunchPeer Reviewed Assignment w/ StatCrunchCriteriaRatingsPtsThis criterion is linked to a Learning OutcomeAddressing the Prompt6 ptsFull MarksAll parts of the Prompt are addressed. Answers are correct. Statistical vocabulary is used appropriately. Writing is clear and thought process is easy to follow.4 ptsPartial CreditSome parts of the prompt are not addressed, are incorrect, or are unclear.0 ptsNo MarksThe prompt is not addressed.6 ptsThis criterion is linked to a Learning OutcomeStatCrunch Data2 ptsFull MarksAppropriate StatCrunch graphs and/or tables are provided as directed.1 ptsPartial CreditStatCrunch graphs and tables are inappropriate or missing important information.0 ptsNo MarksNo StatCrunch information is provided.2 ptsThis criterion is linked to a Learning OutcomeIndividual Penalty0 ptsNo individual penalty-1 ptsIndividual penalty.Please see the instructor comments for more information.0 ptsThis criterion is linked to a Learning OutcomePeer Reviews2 ptsFull MarksYou completed all assigned peer reviews (maximum of 2). For each peer review, the points you assigned in the rubric are appropriate. You included comments explaining the score you posted in the rubric. If you deducted points in the rubric, your comments explain what the author needs to do to earn a higher grade when the teacher grades the assignment.1 ptsPartial CreditCommitted a good-faith effort to provide a high-quality peer review, but many necessary instructive comments are missing.0 ptsNo MarksNo peer review provided or the comments are not instructive.2 ptsTotal Points: 10
Scatter Plot, Linear Regression and R Value
Topic 1: Scatter Plot, Linear Regression and R ValueView Full Description Hi Everyone,Open excelIn one column enter 8 heig ...
Scatter Plot, Linear Regression and R Value
Topic 1: Scatter Plot, Linear Regression and R ValueView Full Description Hi Everyone,Open excelIn one column enter 8 heights for 10 year old boys (inches) and in the second column enter 8 weights for 10 year old boys (pounds). Ten year old boys height ranges from 42 inches to 62 inches while the weight ranges from 60 to 90 pounds. You can make these up as long as they are reasonable if you do not have access to any data. We want to see if there is a correlation.Move your mouse to put a box around the numbers.From the insert menu select scatter or the chart that says scatter and then select the chart at the top left on the dropdownClick on one of the pointsSelect Add TrendlineThe default radio button is linear, keep it checkedCheck display equation on chart and click on the display r-squared valueThe equation is your least squares lineOn the least squares line the slope is in front of the x value. Also, you can look at the slope of the scatter plot to see if the slope is positive. This will let you know whether to make the r value positive or negative when you take the square root of r^2.If the r^2 value is say .0382 then you will click on an excel cell and type=.0382^.5Note the ^ key is above the 6 keyThis will be your r value and you will make it negative if your slope is negative otherwise leave it positive.If you have a different version of excel then you may want to search to see how to form a trendline. These instructions work with Office 365 and Office 2010.Then follow these instructions:Attach your scatter plot if possible. What did you get for your regression line? What was your r value? What did this tell you?What would be a scenario where you might need to use this application?Be sure to comment on at least 2 classmates.Instructions: Your initial post should be at least 250 words. Please respond to at least 2 other students. Responses should be a minimum of 100 words and include direct questions.
University of California San Diego Quantitative Methods in Business Problems
please use the following resources and follow the requirments to solve the questions, need to use R studio to complete. pl ...
University of California San Diego Quantitative Methods in Business Problems
please use the following resources and follow the requirments to solve the questions, need to use R studio to complete. please solve the questions for hw10 and ec2. rest of them might help you to solve the questions
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