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MATH 102 National Louis University Statistical Research in Healthcare Essay
Last week you formulated a research question and procedures for studying this question. You also reviewed two articles wit ...
MATH 102 National Louis University Statistical Research in Healthcare Essay
Last week you formulated a research question and procedures for studying this question. You also reviewed two articles with main ideas similar to your own research. You were then able to see what kind of data is used to answer similar research questions. This week you will synthesize your findings into a 4-5 page analytical essay that further elaborates on and explores your research methodology. Modern statistical research relies on many of the concepts we studied in this course. Of course, the statistics used are often at a much higher level than what we have studied this term. In this course we studied statistics that only involved a few variables; however, in real research, statistics involves many more variables. Imagine that you have become a high-ranking executive with your prospective employer. You have vast resources to expand, including a team of statisticians and “number-crunchers”. In this case, you would most likely be the last person conducting research. However, you do need to understand the results of your research and explore various methods for conducting research. Your essay should have three parts, described below: Part I: Discuss how your team would collect your data? Would you review the entire population or would you select a sample? If you choose to select a sample, what sampling technique would you use to form a representative sample? Would you divide the members of your sample into additional groups, such as a randomized control group? Part II: Describe the methodology your team would use to analyze your data. What kinds of statistical techniques would you use that you have learned in this course? How would you present your statistics—in a table or with a graph? How would the statistical techniques you choose help you answer your research question? Part III: Identify how your team would interpret the results of this study? What kinds of values would you be analyzing from your study in part 2? If you are using hypothesis testing, what confidence level would you like to use? If you’re using regression analysis, what value would be favorable? How will your team report on these results? Last week you formulated a research question and procedures for studying this question. You also reviewed two articles with main ideas similar to your own research. You were then able to see what kind of data is used to answer similar research questions. This week you will synthesize your findings into a 3-4 page analytical essay that further elaborates on and explores your research methodology. Modern statistical research relies on many of the concepts we studied in this course. Of course, the statistics used is often at a much higher level than what we have studied this term. In this course we studied statistics that only involved a few variables; however, in real research, statistics involves many more variables. Imagine that you have become a high-ranking executive with your prospective employer. You have vast resources to expand, including a team of statisticians and “number-crunchers”. In this case, you would most likely be the last person conducting research. However, you do need to understand the results of your research and explore various methods for conducting research. Your essay should have three parts, described below: Part I: Discuss how your team would collect your data? Would you review the entire population or would you select a sample? If you choose to select a sample, what sampling technique would you use to form a representative sample? Would you divide the members of your sample into additional groups, such as a randomized control group? Part II: Describe the methodology your team would use to analyze your data. What kinds of statistical techniques would you use that you have learned in this course? How would you present your statistics—in a table or with a graph? How would the statistical techniques you choose help you answer your research question? Part III: Identify how your team would interpret the results of this study? What kinds of values would you be analyzing from your study in part 2? If you are using hypothesis testing, what confidence level would you like to use? If you’re using regression analysis, what value would be favorable? How will your team report on these results? Please see the example paper for an idea of the layout and what to include. The question for the Research in Healthcare is: "What is the rate of the insured population in the United States?" You will find all of the information for the research paper in the uploaded doc, "What's Your Statistical Research Strategy WorkSheet". This will provide you with the 2 scholarly articles that will be used and the type of statistical techniques that can be used to analyze the data.
3 pages
Plurality Voting System
The plurality voting system is an electoral system whereby the voters are allowed to vote for just one candidate, and the ...
Plurality Voting System
The plurality voting system is an electoral system whereby the voters are allowed to vote for just one candidate, and the candidate who garners the ...
SNHU Module 3 Discussion Model of Transistors Calculations Exercise
Solve the problem below. Copy the description of your forecast in the box below and include that as part of your initial D ...
SNHU Module 3 Discussion Model of Transistors Calculations Exercise
Solve the problem below. Copy the description of your forecast in the box below and include that as part of your initial Discussion post in Brightspace. Using "copy" from here in Mobius and "paste" into Brightspace should work.Hint: The chart is taken from https://ourworldindata.org/technological-progress.From the chart, estimate (roughly) the number of transistors per IC in 2018. Using your estimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040?In some applications, the variable being studied increases so quickly ("exponentially") that a regular graph isn't informative. There, a regular graph would show data close to 0 and then a sudden spike at the very end. Instead, for these applications, we often use logarithmic scales. We replace the y-axis tick marks of 1, 2, 3, 4, etc. with y-axis tick marks of 101 = 10, 102 = 100, 103 = 1000, 104 = 10000, etc. In other words, the logarithms of the new tick marks are equally spaced.Technology is one area where progress is extraordinarily rapid. Moore's Law states that the progress of technology (measured in different ways) doubles every 2 years. A common example counts the number of transitors per integrated circuit. A regular y-axis scale is appropriate when a trend is linear, i.e. 100 transistors, 200 transistors, 300 transistors, 400 transistors, etc. However, technology actually increased at a much quicker pace such as 100 transistors,.1,000 transistors, 10,000 transistors, 100,000 transistors, etc.The following is a plot of the number of transistors per integrated circuit over the period 1971 - 2008 taken from https://ourworldindata.org/technological-progress (that site contains a lot of data, not just for technology). At first, this graph seems to show a steady progression until you look carefully at the y-axis ... it's not linear. From the graph, it seems that from 1971 to 1981 the number of transistors went from about 1,000 to 40,000. Moore's Law predicts that in 10 years, it would double 5 times, i.e. go from 1,000 to 32,000, and the actual values (using very rough estimates) seem to support this.The following is the same plot but with the common logarithm of the y-axis shown. You can see that log(y) goes up uniformly.(the map is attach)Questions to be answered in your Brightspace Discussion:Part a: The number of transistors per IC in 1972 seems to be about 4,000 (a rough estimate by eye). Using this estimate and Moore's Law, what would you predict the number of transistors per IC to be 20 years later, in 1992?Prediction = Part b: From the chart, estimate (roughly) the number of transistors per IC in 2018. Using your estimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040?Part c: Do you think that your prediction in Part b is believable? Why or why not?
Unit 8: Inferences and Conclusions from Data Project
Unit 8 Project
Find the next five terms of the arithmetic sequence 42, 37, 32, ... .
...
Unit 8: Inferences and Conclusions from Data Project
Unit 8 Project
Find the next five terms of the arithmetic sequence 42, 37, 32, ... .
Find the 24th term of an arithmetic sequence for which a1 = 2 and d
= 6.
Find the three arithmetic means between 4 and 16.
Find the sum of the arithmetic series for which a1 = 7, n = 31, and an
= 127.
Find the next three terms of the geometric sequence 81, 27, 9, ... .
Find the eight term of the geometric sequence for which a1 = 5 and r
= 2.
Find two geometric means between 7 and 189
Find the sum of the geometric series for which a1 = 125, r = 2⁄5, and n
= 4.
Find the sum of each series, if it exists.
15
9. ∑ (14 − 2k)
k=3
10. 91 + 85 + 79 + ... + (29)
Find the first five terms of each sequence.
a1 =2,an+1 =an +3
a1 =4,an+1 =an +n2
Find the variance, mean, median, mode, and standard deviation for
the given values.
13. 13, 15, 12, 10, 4, 16, 17, 22, 9
Use the data that shows the ages of the U.S. population to create a
histogram. Tell whether the data is positively skewed, negatively
skewed, or if it has a normal distribution.
The number of home runs scored by teams in the Brooksfield baseball league are
normally distributed and have a mean of 94 and a standard deviation of 8. What
percentage of the teams have scored more than 102 home runs?
Find the margin of error with the given conditions. Round to four
decimal places.
16. p=33%andn=600.
17. 200 high school students were surveyed about whether they driving
or taking the bus to school. 145 preferred driving.
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MATH 102 National Louis University Statistical Research in Healthcare Essay
Last week you formulated a research question and procedures for studying this question. You also reviewed two articles wit ...
MATH 102 National Louis University Statistical Research in Healthcare Essay
Last week you formulated a research question and procedures for studying this question. You also reviewed two articles with main ideas similar to your own research. You were then able to see what kind of data is used to answer similar research questions. This week you will synthesize your findings into a 4-5 page analytical essay that further elaborates on and explores your research methodology. Modern statistical research relies on many of the concepts we studied in this course. Of course, the statistics used are often at a much higher level than what we have studied this term. In this course we studied statistics that only involved a few variables; however, in real research, statistics involves many more variables. Imagine that you have become a high-ranking executive with your prospective employer. You have vast resources to expand, including a team of statisticians and “number-crunchers”. In this case, you would most likely be the last person conducting research. However, you do need to understand the results of your research and explore various methods for conducting research. Your essay should have three parts, described below: Part I: Discuss how your team would collect your data? Would you review the entire population or would you select a sample? If you choose to select a sample, what sampling technique would you use to form a representative sample? Would you divide the members of your sample into additional groups, such as a randomized control group? Part II: Describe the methodology your team would use to analyze your data. What kinds of statistical techniques would you use that you have learned in this course? How would you present your statistics—in a table or with a graph? How would the statistical techniques you choose help you answer your research question? Part III: Identify how your team would interpret the results of this study? What kinds of values would you be analyzing from your study in part 2? If you are using hypothesis testing, what confidence level would you like to use? If you’re using regression analysis, what value would be favorable? How will your team report on these results? Last week you formulated a research question and procedures for studying this question. You also reviewed two articles with main ideas similar to your own research. You were then able to see what kind of data is used to answer similar research questions. This week you will synthesize your findings into a 3-4 page analytical essay that further elaborates on and explores your research methodology. Modern statistical research relies on many of the concepts we studied in this course. Of course, the statistics used is often at a much higher level than what we have studied this term. In this course we studied statistics that only involved a few variables; however, in real research, statistics involves many more variables. Imagine that you have become a high-ranking executive with your prospective employer. You have vast resources to expand, including a team of statisticians and “number-crunchers”. In this case, you would most likely be the last person conducting research. However, you do need to understand the results of your research and explore various methods for conducting research. Your essay should have three parts, described below: Part I: Discuss how your team would collect your data? Would you review the entire population or would you select a sample? If you choose to select a sample, what sampling technique would you use to form a representative sample? Would you divide the members of your sample into additional groups, such as a randomized control group? Part II: Describe the methodology your team would use to analyze your data. What kinds of statistical techniques would you use that you have learned in this course? How would you present your statistics—in a table or with a graph? How would the statistical techniques you choose help you answer your research question? Part III: Identify how your team would interpret the results of this study? What kinds of values would you be analyzing from your study in part 2? If you are using hypothesis testing, what confidence level would you like to use? If you’re using regression analysis, what value would be favorable? How will your team report on these results? Please see the example paper for an idea of the layout and what to include. The question for the Research in Healthcare is: "What is the rate of the insured population in the United States?" You will find all of the information for the research paper in the uploaded doc, "What's Your Statistical Research Strategy WorkSheet". This will provide you with the 2 scholarly articles that will be used and the type of statistical techniques that can be used to analyze the data.
3 pages
Plurality Voting System
The plurality voting system is an electoral system whereby the voters are allowed to vote for just one candidate, and the ...
Plurality Voting System
The plurality voting system is an electoral system whereby the voters are allowed to vote for just one candidate, and the candidate who garners the ...
SNHU Module 3 Discussion Model of Transistors Calculations Exercise
Solve the problem below. Copy the description of your forecast in the box below and include that as part of your initial D ...
SNHU Module 3 Discussion Model of Transistors Calculations Exercise
Solve the problem below. Copy the description of your forecast in the box below and include that as part of your initial Discussion post in Brightspace. Using "copy" from here in Mobius and "paste" into Brightspace should work.Hint: The chart is taken from https://ourworldindata.org/technological-progress.From the chart, estimate (roughly) the number of transistors per IC in 2018. Using your estimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040?In some applications, the variable being studied increases so quickly ("exponentially") that a regular graph isn't informative. There, a regular graph would show data close to 0 and then a sudden spike at the very end. Instead, for these applications, we often use logarithmic scales. We replace the y-axis tick marks of 1, 2, 3, 4, etc. with y-axis tick marks of 101 = 10, 102 = 100, 103 = 1000, 104 = 10000, etc. In other words, the logarithms of the new tick marks are equally spaced.Technology is one area where progress is extraordinarily rapid. Moore's Law states that the progress of technology (measured in different ways) doubles every 2 years. A common example counts the number of transitors per integrated circuit. A regular y-axis scale is appropriate when a trend is linear, i.e. 100 transistors, 200 transistors, 300 transistors, 400 transistors, etc. However, technology actually increased at a much quicker pace such as 100 transistors,.1,000 transistors, 10,000 transistors, 100,000 transistors, etc.The following is a plot of the number of transistors per integrated circuit over the period 1971 - 2008 taken from https://ourworldindata.org/technological-progress (that site contains a lot of data, not just for technology). At first, this graph seems to show a steady progression until you look carefully at the y-axis ... it's not linear. From the graph, it seems that from 1971 to 1981 the number of transistors went from about 1,000 to 40,000. Moore's Law predicts that in 10 years, it would double 5 times, i.e. go from 1,000 to 32,000, and the actual values (using very rough estimates) seem to support this.The following is the same plot but with the common logarithm of the y-axis shown. You can see that log(y) goes up uniformly.(the map is attach)Questions to be answered in your Brightspace Discussion:Part a: The number of transistors per IC in 1972 seems to be about 4,000 (a rough estimate by eye). Using this estimate and Moore's Law, what would you predict the number of transistors per IC to be 20 years later, in 1992?Prediction = Part b: From the chart, estimate (roughly) the number of transistors per IC in 2018. Using your estimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040?Part c: Do you think that your prediction in Part b is believable? Why or why not?
Unit 8: Inferences and Conclusions from Data Project
Unit 8 Project
Find the next five terms of the arithmetic sequence 42, 37, 32, ... .
...
Unit 8: Inferences and Conclusions from Data Project
Unit 8 Project
Find the next five terms of the arithmetic sequence 42, 37, 32, ... .
Find the 24th term of an arithmetic sequence for which a1 = 2 and d
= 6.
Find the three arithmetic means between 4 and 16.
Find the sum of the arithmetic series for which a1 = 7, n = 31, and an
= 127.
Find the next three terms of the geometric sequence 81, 27, 9, ... .
Find the eight term of the geometric sequence for which a1 = 5 and r
= 2.
Find two geometric means between 7 and 189
Find the sum of the geometric series for which a1 = 125, r = 2⁄5, and n
= 4.
Find the sum of each series, if it exists.
15
9. ∑ (14 − 2k)
k=3
10. 91 + 85 + 79 + ... + (29)
Find the first five terms of each sequence.
a1 =2,an+1 =an +3
a1 =4,an+1 =an +n2
Find the variance, mean, median, mode, and standard deviation for
the given values.
13. 13, 15, 12, 10, 4, 16, 17, 22, 9
Use the data that shows the ages of the U.S. population to create a
histogram. Tell whether the data is positively skewed, negatively
skewed, or if it has a normal distribution.
The number of home runs scored by teams in the Brooksfield baseball league are
normally distributed and have a mean of 94 and a standard deviation of 8. What
percentage of the teams have scored more than 102 home runs?
Find the margin of error with the given conditions. Round to four
decimal places.
16. p=33%andn=600.
17. 200 high school students were surveyed about whether they driving
or taking the bus to school. 145 preferred driving.
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