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Quantitative Math for Health Services Homework – Wk 6
Quantitative Math for Health Services Homework – Wk 6 Homework Chapter 8: Exercises 8-1 through 8-5 (page 155 of th ...
Quantitative Math for Health Services Homework – Wk 6
Quantitative Math for Health Services Homework – Wk 6 Homework Chapter 8: Exercises 8-1 through 8-5 (page 155 of the text)Chapter 9: Exercises 9-1 and 9-2 (page 174 of the text) ---Pages Attached----
Something in My Personal Life that I Measure Regularly Discussion
By now you are adept at calculating averages and intuitively can estimate whether something is “normal” (a measurement ...
Something in My Personal Life that I Measure Regularly Discussion
By now you are adept at calculating averages and intuitively can estimate whether something is “normal” (a measurement not too far from average) or unusual (pretty far from the average you might expect). This class helps to quantify exactly how far something you measure is from average using the normal distribution. Basically, you mark the mean down the middle of the bell curve, calculate the standard deviation of your sample and then add (or subtract) that value to come up with the mile markers (z scores) that measure the distance from the mean.
For example, if the average height of adult males in the United States is 69 inches with a standard deviation of 3 inches, we could create the graph below.
Men who are somewhere between 63 and 75 inches tall would be considered of a fairly normal height. Men shorter than 63” or taller than 75” would be considered unusual (assuming our sample data represents the actual population). You could use a z score to look up exactly what percentage of men are shorter than (or taller than) a particular height.
Think of something in your work or personal life that you measure regularly (No actual calculation of the mean, standard deviation or z scores is necessary). What value is “average”? What values would you consider to be unusually high or unusually low? If a value were unusually high or low—how would it change your response to the measurement?
Walden University Police and Presence of Democracy Statistics Question
Assignment: Testing for Bivariate Categorical AnalysisYou have had plenty of practice with data analysis in the Discussion ...
Walden University Police and Presence of Democracy Statistics Question
Assignment: Testing for Bivariate Categorical AnalysisYou have had plenty of practice with data analysis in the Discussions and hopefully, you have received helpful and encouraging feedback from your colleagues. Now, for the last time in the course, it is time once again to put all of that good practice to use and answer a social research question using categorical statistical tools. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are categorical level variables.For this Assignment, you will consider three different scenarios. Each of these scenarios include a research question. You will examine each scenario, choose a categorical data analysis and run a sample test.To prepare for this Assignment: Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text and the media program found in this week’s Learning Resources related to bivariate categorical tests. Using the SPSS software, open the Afrobarometer dataset found in this week’s Learning Resources. Next, review the Chi-Square Scenarios found in this week’s Learning Resources and consider each research scenario for this Assignment. Based on the dataset you chose and for each research scenario provided, using the SPSS software, choose a categorical data analysis and run a sample test. Once you perform your categorical data analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Assignment:Write a 1- to 2-paragraph analysis of your categorical data results for each research scenario. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output. Assignment: Testing for Bivariate Categorical Analysis ResourcesFrankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.Chapter 9, “Bivariate Tables” (pp. 281-325)Chapter 10, “The Chi-Square Test and Measures of Association” (pp. 327-373)
HLTH501 Liberty Medical Advertising, Reseach Ethics And Terminal Scenario
Discussion Board Question Number 2A fundamental ethical problem in statistics arises in experimentation (i.e., in the cont ...
HLTH501 Liberty Medical Advertising, Reseach Ethics And Terminal Scenario
Discussion Board Question Number 2A fundamental ethical problem in statistics arises in experimentation (i.e., in the context of studies of experimental drugs for treating AIDS). On one side, organizations such as the National Institute of Health insist on randomly assigning treatments such as flipping a coin for each patient to decide which treatment to assign. The advantage of randomized experiments is that they allow reliable conclusions without the need to worry about lurking variables. However, some groups of AIDS patients have opposed randomization, instead making the argument that each patient should be assigned the best available treatment (or to be more precise, whatever treatment is currently believed to be the best). The ethical dilemma is to balance the benefits to the patients in the study (who would like the opportunity to choose among available treatments) with future patients (who would be served by learning as soon as possible about the effectiveness of the competing treatments). The issue is complicated. On one hand, the randomized study is most trustworthy if all the patients in the study participate. If they are not treated respectfully, the patients might go outside the study and try other drugs, which could bias the estimates of treatment effects. On the other hand, the patients might benefit from being in an experimental study. Even if the treatment is randomized, the patients are getting close medical attention from the researchers. Current best practice is to design studies so that all subjects will be expected to benefit in some way, but still keeping the randomized element. For example, a study can compare two potentially beneficial experimental treatments, rather than comparing a treatment to an inert “control.” However, there will always be conflicts of interest between the patients in the study, the scientists conducting it, and the public at large.In your original post, compare and contrast at least two research designs that might be used to research life threatening diseases/disorders. At least one design should present ethical issues and at least one design should minimize potential ethical issues. Provide at least one Scripture passage that supports your ethical perspectives on medical/public health research. Your thread is due by 11:59 p.m. (ET) on Thursday and your two replies are due by 11:59 p.m. (ET) on Sunday.Discussion Question Number 3Consider the following three scenarios:1.
Suppose you work for an organization that runs tests for
life-threatening diseases and then discusses the results with their
patients. You have just tested a 45 year old male patient, father of
six, and according to the test he is terminally ill. Statistics shows
that the man has seven months to live. 2.
Your 31 year old daughter, who for five years has been underemployed
and unemployed, announces she has secured a stable and high paying job
as Director of Operations for a Colorado Marijuana facility. 3.
You are working for a foreign government that has had a disease
epidemic in a certain region of their country which has led to the
deaths of three million children. The disease is spread by mosquitos,
and the only quick and sure way to stop the epidemic is to spray
Chemical H on the jungle environments where the mosquitos live. Spraying
the chemical will lead to environmental issues for 20 years. Pick
one of the above scenarios and in that context, explain how your
knowledge of biostatistics might inform how you address the situation
and how you might advance a Biblical worldview. Fell free to add details
or assumptions left ambiguous in the prompt. Your thread is due by 11:59 p.m. (ET) on Thursday and your two replies are due by 11:59 p.m. (ET) on Sunday.
statistics
7.1.4Stephen Stigler determined in 1977 that the speed of light is 299,710.5 km/sec. In 1882, Albert Michelson had collec ...
statistics
7.1.4Stephen Stigler determined in 1977 that the speed of light is 299,710.5 km/sec. In 1882, Albert Michelson had collected measurements on the speed of light ("Student t-distribution," 2013). Is there evidence to show that Michelson’s data is different from Stigler’s value of the speed of light? State the random variable, population parameter, and hypotheses.7.1.6According to the February 2008 Federal Trade Commission report on consumer fraud and identity theft, 23% of all complaints in 2007 were for identity theft. In that year, Alaska had 321 complaints of identity theft out of 1,432 consumer complaints ("Consumer fraud and," 2008). Does this data provide enough evidence to show that Alaska had a lower proportion of identity theft than 23%? State the type I and type II errors in this case, consequences of each error type for this situation, and the appropriate alpha level to use.7.2.4According to the February 2008 Federal Trade Commission report on consumer fraud and identity theft, 23% of all complaints in 2007 were for identity theft. In that year, Alaska had 321 complaints of identity theft out of 1,432 consumer complaints ("Consumer fraud and," 2008). Does this data provide enough evidence to show that Alaska had a lower proportion of identity theft than 23%? Test at the 5% level.7.2.6In 2008, there were 507 children in Arizona out of 32,601 who were diagnosed with Autism Spectrum Disorder (ASD) ("Autism and developmental," 2008). Nationally 1 in 88 children are diagnosed with ASD ("CDC features -," 2013). Is there sufficient data to show that the incident of ASD is more in Arizona than nationally? Test at the 1% level.7.3.6The economic dynamism, which is the index of productive growth in dollars for countries that are designated by the World Bank as middle-income are in table #7.3.8 ("SOCR data 2008," 2013). Countries that are considered high-income have a mean economic dynamism of 60.29. Do the data show that the mean economic dynamism of middle-income countries is less than the mean for high-income countries? Test at the 5% level.Table #7.3.8: Economic Dynamism of Middle Income Countries25.8057 37.4511 51.915 43.6952 47.8506 43.7178 58.076741.1648 38.0793 37.7251 39.6553 42.0265 48.6159 43.855549.1361 61.9281 41.9543 44.9346 46.0521 48.3652 43.625250.9866 59.1724 39.6282 33.6074 21.6643 7.3.8Maintaining your balance may get harder as you grow older. A study was conducted to see how steady the elderly is on their feet. They had the subjects stand on a force platform and have them react to a noise. The force platform then measured how much they swayed forward and backward, and the data is in table #7.3.10 ("Maintaining balance while," 2013). Do the data show that the elderly sway more than the mean forward sway of younger people, which is 18.125 mm? Test at the 5% level.Table #7.3.10: Forward/backward Sway (in mm) of Elderly Subjects19 30 20 19 29 25 21 24 508.1.4Suppose you compute a confidence interval with a sample size of 100. What will happen to the confidence interval if the sample size decreases to 80?8.1.8In 2013, Gallup conducted a poll and found a 95% confidence interval of the proportion of Americans who believe it is the government’s responsibility for health care. Give the statistical interpretation.8.2.6In 2008, there were 507 children in Arizona out of 32,601 who were diagnosed with Autism Spectrum Disorder (ASD) ("Autism and developmental," 2008). Find the proportion of ASD in Arizona with a confidence level of 99%.8.3.6The economic dynamism, which is the index of productive growth in dollars for countries that are designated by the World Bank as middle-income are in table #8.3.9 ("SOCR data 2008," 2013). Compute a 95% confidence interval for the mean economic dynamism of middle-income countries.Table #8.3.9: Economic Dynamism ($) of Middle Income Countries25.8057 37.4511 51.915 43.6952 47.8506 43.7178 58.076741.1648 38.0793 37.7251 39.6553 42.0265 48.6159 43.855549.1361 61.9281 41.9543 44.9346 46.0521 48.3652 43.625250.9866 59.1724 39.6282 33.6074 21.6643
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Quantitative Math for Health Services Homework – Wk 6
Quantitative Math for Health Services Homework – Wk 6 Homework Chapter 8: Exercises 8-1 through 8-5 (page 155 of th ...
Quantitative Math for Health Services Homework – Wk 6
Quantitative Math for Health Services Homework – Wk 6 Homework Chapter 8: Exercises 8-1 through 8-5 (page 155 of the text)Chapter 9: Exercises 9-1 and 9-2 (page 174 of the text) ---Pages Attached----
Something in My Personal Life that I Measure Regularly Discussion
By now you are adept at calculating averages and intuitively can estimate whether something is “normal” (a measurement ...
Something in My Personal Life that I Measure Regularly Discussion
By now you are adept at calculating averages and intuitively can estimate whether something is “normal” (a measurement not too far from average) or unusual (pretty far from the average you might expect). This class helps to quantify exactly how far something you measure is from average using the normal distribution. Basically, you mark the mean down the middle of the bell curve, calculate the standard deviation of your sample and then add (or subtract) that value to come up with the mile markers (z scores) that measure the distance from the mean.
For example, if the average height of adult males in the United States is 69 inches with a standard deviation of 3 inches, we could create the graph below.
Men who are somewhere between 63 and 75 inches tall would be considered of a fairly normal height. Men shorter than 63” or taller than 75” would be considered unusual (assuming our sample data represents the actual population). You could use a z score to look up exactly what percentage of men are shorter than (or taller than) a particular height.
Think of something in your work or personal life that you measure regularly (No actual calculation of the mean, standard deviation or z scores is necessary). What value is “average”? What values would you consider to be unusually high or unusually low? If a value were unusually high or low—how would it change your response to the measurement?
Walden University Police and Presence of Democracy Statistics Question
Assignment: Testing for Bivariate Categorical AnalysisYou have had plenty of practice with data analysis in the Discussion ...
Walden University Police and Presence of Democracy Statistics Question
Assignment: Testing for Bivariate Categorical AnalysisYou have had plenty of practice with data analysis in the Discussions and hopefully, you have received helpful and encouraging feedback from your colleagues. Now, for the last time in the course, it is time once again to put all of that good practice to use and answer a social research question using categorical statistical tools. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are categorical level variables.For this Assignment, you will consider three different scenarios. Each of these scenarios include a research question. You will examine each scenario, choose a categorical data analysis and run a sample test.To prepare for this Assignment: Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text and the media program found in this week’s Learning Resources related to bivariate categorical tests. Using the SPSS software, open the Afrobarometer dataset found in this week’s Learning Resources. Next, review the Chi-Square Scenarios found in this week’s Learning Resources and consider each research scenario for this Assignment. Based on the dataset you chose and for each research scenario provided, using the SPSS software, choose a categorical data analysis and run a sample test. Once you perform your categorical data analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Assignment:Write a 1- to 2-paragraph analysis of your categorical data results for each research scenario. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output. Assignment: Testing for Bivariate Categorical Analysis ResourcesFrankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.Chapter 9, “Bivariate Tables” (pp. 281-325)Chapter 10, “The Chi-Square Test and Measures of Association” (pp. 327-373)
HLTH501 Liberty Medical Advertising, Reseach Ethics And Terminal Scenario
Discussion Board Question Number 2A fundamental ethical problem in statistics arises in experimentation (i.e., in the cont ...
HLTH501 Liberty Medical Advertising, Reseach Ethics And Terminal Scenario
Discussion Board Question Number 2A fundamental ethical problem in statistics arises in experimentation (i.e., in the context of studies of experimental drugs for treating AIDS). On one side, organizations such as the National Institute of Health insist on randomly assigning treatments such as flipping a coin for each patient to decide which treatment to assign. The advantage of randomized experiments is that they allow reliable conclusions without the need to worry about lurking variables. However, some groups of AIDS patients have opposed randomization, instead making the argument that each patient should be assigned the best available treatment (or to be more precise, whatever treatment is currently believed to be the best). The ethical dilemma is to balance the benefits to the patients in the study (who would like the opportunity to choose among available treatments) with future patients (who would be served by learning as soon as possible about the effectiveness of the competing treatments). The issue is complicated. On one hand, the randomized study is most trustworthy if all the patients in the study participate. If they are not treated respectfully, the patients might go outside the study and try other drugs, which could bias the estimates of treatment effects. On the other hand, the patients might benefit from being in an experimental study. Even if the treatment is randomized, the patients are getting close medical attention from the researchers. Current best practice is to design studies so that all subjects will be expected to benefit in some way, but still keeping the randomized element. For example, a study can compare two potentially beneficial experimental treatments, rather than comparing a treatment to an inert “control.” However, there will always be conflicts of interest between the patients in the study, the scientists conducting it, and the public at large.In your original post, compare and contrast at least two research designs that might be used to research life threatening diseases/disorders. At least one design should present ethical issues and at least one design should minimize potential ethical issues. Provide at least one Scripture passage that supports your ethical perspectives on medical/public health research. Your thread is due by 11:59 p.m. (ET) on Thursday and your two replies are due by 11:59 p.m. (ET) on Sunday.Discussion Question Number 3Consider the following three scenarios:1.
Suppose you work for an organization that runs tests for
life-threatening diseases and then discusses the results with their
patients. You have just tested a 45 year old male patient, father of
six, and according to the test he is terminally ill. Statistics shows
that the man has seven months to live. 2.
Your 31 year old daughter, who for five years has been underemployed
and unemployed, announces she has secured a stable and high paying job
as Director of Operations for a Colorado Marijuana facility. 3.
You are working for a foreign government that has had a disease
epidemic in a certain region of their country which has led to the
deaths of three million children. The disease is spread by mosquitos,
and the only quick and sure way to stop the epidemic is to spray
Chemical H on the jungle environments where the mosquitos live. Spraying
the chemical will lead to environmental issues for 20 years. Pick
one of the above scenarios and in that context, explain how your
knowledge of biostatistics might inform how you address the situation
and how you might advance a Biblical worldview. Fell free to add details
or assumptions left ambiguous in the prompt. Your thread is due by 11:59 p.m. (ET) on Thursday and your two replies are due by 11:59 p.m. (ET) on Sunday.
statistics
7.1.4Stephen Stigler determined in 1977 that the speed of light is 299,710.5 km/sec. In 1882, Albert Michelson had collec ...
statistics
7.1.4Stephen Stigler determined in 1977 that the speed of light is 299,710.5 km/sec. In 1882, Albert Michelson had collected measurements on the speed of light ("Student t-distribution," 2013). Is there evidence to show that Michelson’s data is different from Stigler’s value of the speed of light? State the random variable, population parameter, and hypotheses.7.1.6According to the February 2008 Federal Trade Commission report on consumer fraud and identity theft, 23% of all complaints in 2007 were for identity theft. In that year, Alaska had 321 complaints of identity theft out of 1,432 consumer complaints ("Consumer fraud and," 2008). Does this data provide enough evidence to show that Alaska had a lower proportion of identity theft than 23%? State the type I and type II errors in this case, consequences of each error type for this situation, and the appropriate alpha level to use.7.2.4According to the February 2008 Federal Trade Commission report on consumer fraud and identity theft, 23% of all complaints in 2007 were for identity theft. In that year, Alaska had 321 complaints of identity theft out of 1,432 consumer complaints ("Consumer fraud and," 2008). Does this data provide enough evidence to show that Alaska had a lower proportion of identity theft than 23%? Test at the 5% level.7.2.6In 2008, there were 507 children in Arizona out of 32,601 who were diagnosed with Autism Spectrum Disorder (ASD) ("Autism and developmental," 2008). Nationally 1 in 88 children are diagnosed with ASD ("CDC features -," 2013). Is there sufficient data to show that the incident of ASD is more in Arizona than nationally? Test at the 1% level.7.3.6The economic dynamism, which is the index of productive growth in dollars for countries that are designated by the World Bank as middle-income are in table #7.3.8 ("SOCR data 2008," 2013). Countries that are considered high-income have a mean economic dynamism of 60.29. Do the data show that the mean economic dynamism of middle-income countries is less than the mean for high-income countries? Test at the 5% level.Table #7.3.8: Economic Dynamism of Middle Income Countries25.8057 37.4511 51.915 43.6952 47.8506 43.7178 58.076741.1648 38.0793 37.7251 39.6553 42.0265 48.6159 43.855549.1361 61.9281 41.9543 44.9346 46.0521 48.3652 43.625250.9866 59.1724 39.6282 33.6074 21.6643 7.3.8Maintaining your balance may get harder as you grow older. A study was conducted to see how steady the elderly is on their feet. They had the subjects stand on a force platform and have them react to a noise. The force platform then measured how much they swayed forward and backward, and the data is in table #7.3.10 ("Maintaining balance while," 2013). Do the data show that the elderly sway more than the mean forward sway of younger people, which is 18.125 mm? Test at the 5% level.Table #7.3.10: Forward/backward Sway (in mm) of Elderly Subjects19 30 20 19 29 25 21 24 508.1.4Suppose you compute a confidence interval with a sample size of 100. What will happen to the confidence interval if the sample size decreases to 80?8.1.8In 2013, Gallup conducted a poll and found a 95% confidence interval of the proportion of Americans who believe it is the government’s responsibility for health care. Give the statistical interpretation.8.2.6In 2008, there were 507 children in Arizona out of 32,601 who were diagnosed with Autism Spectrum Disorder (ASD) ("Autism and developmental," 2008). Find the proportion of ASD in Arizona with a confidence level of 99%.8.3.6The economic dynamism, which is the index of productive growth in dollars for countries that are designated by the World Bank as middle-income are in table #8.3.9 ("SOCR data 2008," 2013). Compute a 95% confidence interval for the mean economic dynamism of middle-income countries.Table #8.3.9: Economic Dynamism ($) of Middle Income Countries25.8057 37.4511 51.915 43.6952 47.8506 43.7178 58.076741.1648 38.0793 37.7251 39.6553 42.0265 48.6159 43.855549.1361 61.9281 41.9543 44.9346 46.0521 48.3652 43.625250.9866 59.1724 39.6282 33.6074 21.6643
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