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Anglia Ruskin Cambridge & Chelmsford Framing Plans for a Residential Building Project
Refer to Sheets 1, 2, and 3 from the Marseille residential building plans in the Large Prints supplement to answer the
fo ...
Anglia Ruskin Cambridge & Chelmsford Framing Plans for a Residential Building Project
Refer to Sheets 1, 2, and 3 from the Marseille residential building plans in the Large Prints supplement to answer the
following questions. fill in your answers in the 12-2 activity complete the 10 questions and save as a pdf . Attached 12'2' activity, powerpoint, and the Marseille residential building plans
MGH 1106 SPC Important People in Set Theory Augustus De Morgan Essay
1. Identify and research one of the important people in set theory.There are many important findings in the area of set th ...
MGH 1106 SPC Important People in Set Theory Augustus De Morgan Essay
1. Identify and research one of the important people in set theory.There are many important findings in the area of set theory. Set theory is actually classified into several periods of time, including constructivism, emergence, consolidation, etc. Several important people in this field include:Georg Cantor (1845-1918)Bernard Bolzano (1781 - 1848)John Venn (1834-1923)Augustus DeMorgan (1806 - 1871)Leopold Kronecker (1823-1891)Bertrand Russell (1872 - 1970)For this posting you will select one of these people and research their findings. In what country and which university did they work? What was one of their most important contributions to the field of set theory?2. Create a new Microsoft Word (.doc / .docx) or Rich Text Format (.rtf) document on your computer, and write at least one full page of content in your own words. Please cite 2-3 references from websites that are reputable. Note: headings, titles, references, blank lines etc. do not count towards the more than one page requirement.Please follow MLA formatting (Purdue Owl MLA Style Guide):Double spaced12pt font1" marginsIndent paragraphsInclude a Works Cited page (separate page, not included in the 1-2 page requirement)
6 questions Find the y-intercept of the equation of the regression line, statistics homework help
1. Find the y-intercept of the equation of the regression line for the following data: Please round to the nearest thousan ...
6 questions Find the y-intercept of the equation of the regression line, statistics homework help
1. Find the y-intercept of the equation of the regression line for the following data: Please round to the nearest thousandth. Consumer Price Index30.248.3112.3162.2191.9197.8Cost of Pizza0.150.351.001.251.752.002. Find the slope of the equation of the regression line for the following data:Please give your answers rounded to the nearest hundredth..Consumer Price Index30.248.3112.3162.2191.9197.8Cost of Pizza0.150.351.001.251.752.003.For a certain set of data, the Pearson correlation coefficient was 0.87. It was calculated based on 50 data points. Answer the following questions, based off of this information.(a)Let alpha be 0.05. Is the correlation coefficient significant? [ Select ] ["Yes", "No"] (b)Using your answer from (a), is it reasonable to fit the regression line to the data? [ Select ] ["Yes", "No"] (c)If you were to the predict a value of the dependent variable, would you use the regression line or the mean of all the values of the dependent variable? [ Select ] ["Regression line, or "Mean of all the values of the dependent variable"] 4. 4. For a certain set of data, the Pearson correlation coefficient was -0.467. It was calculated based on 8 data points. Answer the following questions, based off of this information.(a) Let alpha be 0.05. Is the correlation coefficient significant? [ Select ] ["Yes", or "No", "", ""] (b) Using your answer from (a), is it reasonable to fit the regression line to the data? [ Select ] ["Yes", or "No"] (a)If you were to the predict a value of the dependent variable, would you use the regression line or the mean of all the values of the dependent variable? [ Select ] ["Regression Line", or "Mean of all of the values of the dependent variable"] 5. In a study conducted by University of Arizona researchers, the total weight (in pounds) of garbage discarded in one week and the household size were recorded for 62 households. The linear correlation coefficient is r = 0.759 and the regression equation is = 0.445 + 0.119x, where x represents the total weight of discarded garbage. The mean of the 62 garbage weights is 27.4 pounds and the 62 households have a mean size of 3.71 people. What is the best predicted number of people in a household that discards 50 pounds of garbage? Round to the nearest hundredth6. A sample of 40 women is obtained, and their heights (in inches) and pulse rates (in beats per minutes) are measured. The linear correlation coefficient is 0.202 and the equation of the regression line is = 18.2 + 0.920x, where x represents height (based on data from the National Health Examination Survey). The mean of the 40 heights is 63.2 in. and the mean of the 40 pulse rates is 76.3 beats per minute. Find the best predicted pulse rate of a woman who is 70 inches tall. Please round to the nearest tenth.
3 pages
Discussion
Find an article about the misuse of statistics and share what you have learned from the article. Then, find an example of ...
Discussion
Find an article about the misuse of statistics and share what you have learned from the article. Then, find an example of when statistics were ...
Confounding and Effect Modification
Directed Acyclic Graphs (DAGs) (10 points) To complete this section, please review the articles on DAGs in the Week 5 Lea ...
Confounding and Effect Modification
Directed Acyclic Graphs (DAGs) (10 points) To complete this section, please review the articles on DAGs in the Week 5 Learning Resources. You may use any drawing tools available to you to create the DAGs requested below, although it does not need to be sophisticated software; for example, Microsoft Word’s Insert Shapes and Text Box features are sufficient tools to create these diagrams. For each of the following epidemiological scenarios, draw a DAG that represents the relationships between the variables: (5 points each) A researcher is studying the association between automobile exhaust (E) and the prevalence of asthma in children (A). Other air pollutants (P) may also affect asthma prevalence. The presence of wind (W) affects the concentrations of both (E) and (P). A researcher is studying the association between experiencing childhood abuse (A) and the occurrence of depression (D) as an adult. She has reason to believe that alcohol consumption (C) may mediate the relationship between (A) and (D).State in words the meaning of the hazard ratios for self-rated health in model 1. Be sure to include information on statistical significance. (5 points)State in words the meaning of the hazard ratios for self-rated health in model 3. Discuss whether or not breast cancer stage and daily task limitations were confounders of the self-rated health/mortality association. Justify your response and state your overall conclusions based on the analyses. (15 points)Fill in the table below for columns A and B. The table shows different associations where Factors X and Z are being measured for their effect on an outcome. For each effect measure there are shown three results: a result with Factor X only (X+Z-), a result with Factor Z only (X-Z+), and the Observed Joint Effect for both factors (X+Z+). In column A, indicate whether the interaction is positive or negative, and in column B, indicate whether the interaction is additive or multiplicative. If no interaction is present, put “None” in columns A and B. (10 points)Imagine that you are conducting a randomized controlled trial comparing two medicines (Medicine 1 and Medicine 2) in the prevention of asthma attacks. The following table shows some of the characteristics of the study population for each group: Assessing Confounding in Multivariate Regression (20 points) A researcher studied women with breast cancer to better understand the association between self-rated health and breast cancer mortality (Prehn, 1996). By using survival analysis, the following results were obtained from three different models: Assessing and Interpreting Effect Modification (15 points) Effect Measure Effect of Factor X (X+ Z-) Effect of Factor Z (X- Z+) Observed Joint Effect (X+Z+) A Positive or negative? B Additive or multiplicative? Attributable Risk 20.0 / 1000 15.0 / 1000 60.0 / 1000 Positive Relative Risk 3.0 2.0 4.0 Relative Risk 2.0 3.0 6.0 Medicine 1 Group (n=100) Medicine 2 Group (n=100) Cigarette smoker Yes 30 10 No 70 90 Physically active Yes 35 35 No 65 65 Discuss how you would determine if there is confounding and/or effect modification by cigarette smoking or physical activity in your study. Include details of any strategies you would use and provide specific examples using these study data. (5 points) Reference: Prehn, A. W. (1996). Self-rated health in middle-aged and elderly women with breast cancer (Doctoral dissertation). Retrieved from Dissertation Abstracts International.
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Most Popular Content
Anglia Ruskin Cambridge & Chelmsford Framing Plans for a Residential Building Project
Refer to Sheets 1, 2, and 3 from the Marseille residential building plans in the Large Prints supplement to answer the
fo ...
Anglia Ruskin Cambridge & Chelmsford Framing Plans for a Residential Building Project
Refer to Sheets 1, 2, and 3 from the Marseille residential building plans in the Large Prints supplement to answer the
following questions. fill in your answers in the 12-2 activity complete the 10 questions and save as a pdf . Attached 12'2' activity, powerpoint, and the Marseille residential building plans
MGH 1106 SPC Important People in Set Theory Augustus De Morgan Essay
1. Identify and research one of the important people in set theory.There are many important findings in the area of set th ...
MGH 1106 SPC Important People in Set Theory Augustus De Morgan Essay
1. Identify and research one of the important people in set theory.There are many important findings in the area of set theory. Set theory is actually classified into several periods of time, including constructivism, emergence, consolidation, etc. Several important people in this field include:Georg Cantor (1845-1918)Bernard Bolzano (1781 - 1848)John Venn (1834-1923)Augustus DeMorgan (1806 - 1871)Leopold Kronecker (1823-1891)Bertrand Russell (1872 - 1970)For this posting you will select one of these people and research their findings. In what country and which university did they work? What was one of their most important contributions to the field of set theory?2. Create a new Microsoft Word (.doc / .docx) or Rich Text Format (.rtf) document on your computer, and write at least one full page of content in your own words. Please cite 2-3 references from websites that are reputable. Note: headings, titles, references, blank lines etc. do not count towards the more than one page requirement.Please follow MLA formatting (Purdue Owl MLA Style Guide):Double spaced12pt font1" marginsIndent paragraphsInclude a Works Cited page (separate page, not included in the 1-2 page requirement)
6 questions Find the y-intercept of the equation of the regression line, statistics homework help
1. Find the y-intercept of the equation of the regression line for the following data: Please round to the nearest thousan ...
6 questions Find the y-intercept of the equation of the regression line, statistics homework help
1. Find the y-intercept of the equation of the regression line for the following data: Please round to the nearest thousandth. Consumer Price Index30.248.3112.3162.2191.9197.8Cost of Pizza0.150.351.001.251.752.002. Find the slope of the equation of the regression line for the following data:Please give your answers rounded to the nearest hundredth..Consumer Price Index30.248.3112.3162.2191.9197.8Cost of Pizza0.150.351.001.251.752.003.For a certain set of data, the Pearson correlation coefficient was 0.87. It was calculated based on 50 data points. Answer the following questions, based off of this information.(a)Let alpha be 0.05. Is the correlation coefficient significant? [ Select ] ["Yes", "No"] (b)Using your answer from (a), is it reasonable to fit the regression line to the data? [ Select ] ["Yes", "No"] (c)If you were to the predict a value of the dependent variable, would you use the regression line or the mean of all the values of the dependent variable? [ Select ] ["Regression line, or "Mean of all the values of the dependent variable"] 4. 4. For a certain set of data, the Pearson correlation coefficient was -0.467. It was calculated based on 8 data points. Answer the following questions, based off of this information.(a) Let alpha be 0.05. Is the correlation coefficient significant? [ Select ] ["Yes", or "No", "", ""] (b) Using your answer from (a), is it reasonable to fit the regression line to the data? [ Select ] ["Yes", or "No"] (a)If you were to the predict a value of the dependent variable, would you use the regression line or the mean of all the values of the dependent variable? [ Select ] ["Regression Line", or "Mean of all of the values of the dependent variable"] 5. In a study conducted by University of Arizona researchers, the total weight (in pounds) of garbage discarded in one week and the household size were recorded for 62 households. The linear correlation coefficient is r = 0.759 and the regression equation is = 0.445 + 0.119x, where x represents the total weight of discarded garbage. The mean of the 62 garbage weights is 27.4 pounds and the 62 households have a mean size of 3.71 people. What is the best predicted number of people in a household that discards 50 pounds of garbage? Round to the nearest hundredth6. A sample of 40 women is obtained, and their heights (in inches) and pulse rates (in beats per minutes) are measured. The linear correlation coefficient is 0.202 and the equation of the regression line is = 18.2 + 0.920x, where x represents height (based on data from the National Health Examination Survey). The mean of the 40 heights is 63.2 in. and the mean of the 40 pulse rates is 76.3 beats per minute. Find the best predicted pulse rate of a woman who is 70 inches tall. Please round to the nearest tenth.
3 pages
Discussion
Find an article about the misuse of statistics and share what you have learned from the article. Then, find an example of ...
Discussion
Find an article about the misuse of statistics and share what you have learned from the article. Then, find an example of when statistics were ...
Confounding and Effect Modification
Directed Acyclic Graphs (DAGs) (10 points) To complete this section, please review the articles on DAGs in the Week 5 Lea ...
Confounding and Effect Modification
Directed Acyclic Graphs (DAGs) (10 points) To complete this section, please review the articles on DAGs in the Week 5 Learning Resources. You may use any drawing tools available to you to create the DAGs requested below, although it does not need to be sophisticated software; for example, Microsoft Word’s Insert Shapes and Text Box features are sufficient tools to create these diagrams. For each of the following epidemiological scenarios, draw a DAG that represents the relationships between the variables: (5 points each) A researcher is studying the association between automobile exhaust (E) and the prevalence of asthma in children (A). Other air pollutants (P) may also affect asthma prevalence. The presence of wind (W) affects the concentrations of both (E) and (P). A researcher is studying the association between experiencing childhood abuse (A) and the occurrence of depression (D) as an adult. She has reason to believe that alcohol consumption (C) may mediate the relationship between (A) and (D).State in words the meaning of the hazard ratios for self-rated health in model 1. Be sure to include information on statistical significance. (5 points)State in words the meaning of the hazard ratios for self-rated health in model 3. Discuss whether or not breast cancer stage and daily task limitations were confounders of the self-rated health/mortality association. Justify your response and state your overall conclusions based on the analyses. (15 points)Fill in the table below for columns A and B. The table shows different associations where Factors X and Z are being measured for their effect on an outcome. For each effect measure there are shown three results: a result with Factor X only (X+Z-), a result with Factor Z only (X-Z+), and the Observed Joint Effect for both factors (X+Z+). In column A, indicate whether the interaction is positive or negative, and in column B, indicate whether the interaction is additive or multiplicative. If no interaction is present, put “None” in columns A and B. (10 points)Imagine that you are conducting a randomized controlled trial comparing two medicines (Medicine 1 and Medicine 2) in the prevention of asthma attacks. The following table shows some of the characteristics of the study population for each group: Assessing Confounding in Multivariate Regression (20 points) A researcher studied women with breast cancer to better understand the association between self-rated health and breast cancer mortality (Prehn, 1996). By using survival analysis, the following results were obtained from three different models: Assessing and Interpreting Effect Modification (15 points) Effect Measure Effect of Factor X (X+ Z-) Effect of Factor Z (X- Z+) Observed Joint Effect (X+Z+) A Positive or negative? B Additive or multiplicative? Attributable Risk 20.0 / 1000 15.0 / 1000 60.0 / 1000 Positive Relative Risk 3.0 2.0 4.0 Relative Risk 2.0 3.0 6.0 Medicine 1 Group (n=100) Medicine 2 Group (n=100) Cigarette smoker Yes 30 10 No 70 90 Physically active Yes 35 35 No 65 65 Discuss how you would determine if there is confounding and/or effect modification by cigarette smoking or physical activity in your study. Include details of any strategies you would use and provide specific examples using these study data. (5 points) Reference: Prehn, A. W. (1996). Self-rated health in middle-aged and elderly women with breast cancer (Doctoral dissertation). Retrieved from Dissertation Abstracts International.
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