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Explanation & Answer
Pythagoras Theorem:
Hypotenuse^2= sum of the squares of the other two sides
In this question we know the other two sides and would be finding the hypotenuse
Therefore
H^2=18^2+24^2
H^2=900
H= square root of 900
Hypotenuse = 30 cm
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Find the P-value;
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Albany State University Wk 5 Statistical Forecasting Data Analysis
Week 5 Assignment - Case Study: Statistical Forecasting
Dr. Megan Zobb, a key researcher within the North Luna Universi ...
Albany State University Wk 5 Statistical Forecasting Data Analysis
Week 5 Assignment - Case Study: Statistical Forecasting
Dr. Megan Zobb, a key researcher within the North Luna University Medical Center, has been studying a new variant of a skin disease virus that seems to be surfacing among the North Luna University population. This variant (which has been tentatively named Painful Rash or PR), leads to the formation of surface lesions on an individual's body. These lesions are very similar to small boils or isolated shingles sores. These PR lesions are not necessarily clustered as shingles lesions are, but are isolated across the body.Insights From Initial Interviews
Megan is initiating some efforts at a preliminary analysis. She has seen 20 initial patients and made several observations about the skin disease. She wants to analyze this initial data before structuring and recommending a more encompassing study.The signs and symptoms of this disorder usually affect multiple sections of the patient's body. These signs and symptoms may include:
Pain, burning, numbness or tingling, but pain is always present.
Sensitivity to touch.
A red rash that begins a few days after the pain.
Fluid-filled blisters that break open and crust over.
Itching.
Some people also experience:
Fever.
Headache.
Sensitivity to light.
Fatigue.
Pain is always the first symptom of PR. For some, it can be intense. Depending on the location of the pain, it can sometimes be mistaken for a symptom of problems affecting the heart, lungs, or kidneys. Some people experience PR pain without ever developing the rash. The degree of pain that the individual experiences is seemingly proportional to the number of lesions.Dr. Zobb is extremely concerned that this new variant is especially challenging to the younger population, who are active and like to be outdoors. She has asked you as an analyst and statistician for some assistance in analyzing her initial data. She is not a biostatistician, so she requests that you explain the process you use and your interpretation of the results for each task.Initial Data Analysis
Dr. Zobb has accumulated some data on an initial set of 20 patients across multiple age groups. She believes that the data suggests younger individuals are affected more than others. She wants you to complete the tasks shown here based on the data below.For each of the following, provide a detailed explanation of the process you used along with your interpretation of the results. Submit the response in a Word document and attach your Excel spreadsheet to show your calculations (where applicable). Be sure to number each response (e.g., 1.a, 1.b,…).
Develop an equation to model the data using a regression analysis approach and explain your calculation process in Excel.
Calculate the r-square statistic using Excel. Interpret the meaning of the r-square statistic in this case.
Determine three conclusions that address the initial observations and are supported by the regression analysis.
Regression Analysis Initial DataPatient NumberAge of PatientNumber of Lesions124162637345124172452120672473213836169262110471011311512231813518142422152618162519173112181929191825202117 Effects of Sunlight Analysis
In her initial observations, Dr. Zobb notices that the number of lesions that appear on a patient seems to be dependent on the amount of direct sunlight exposure that the patient receives. She is uncertain at this point why this would be the case, but she is a good experimentalist and is trying to establish some observations that have statistical validity. She has taken a limited amount of data on 8 patients and wants you to complete the appropriate analysis based on the data below (be sure to show your work):
Develop an equation to model the data using a regression analysis approach and explain your calculation process, using Excel.
Megan has a small group of three additional patients that are the same age that she wants to examine for lesions. She knows the number of hours of continuous exposure to direct sunlight that each has experienced. Predict the number of lesions that each of these patients will have based on the regression analysis that you completed in your initial data analysis:
Patient 9 – 193 hours.
Patient 10 – 219 hours.
Patient 11 – 84 hours.
Determine three conclusions based on the correlation of the number of lesions to hours of sunlight exposure, using regression analysis.
Sunlight Exposure Regression DataPatient NumberTime of Continuous Exposure to Direct Sunlight
(Minutes)Number of Lesions122524218416322020424026518014618416718620821522Over the Counter Medication Effectiveness Analysis
Dr. Zobb wants to test several over the counter lotions—that is, lotions available without a prescription—that can be applied directly to the lesions. She wants to determine whether there is a difference in the mean length of time it takes these three types of pain lotions to provide relief from the pain caused by these lesions. Megan is hoping that one of these lotions might be more promising than the others. Several sufferers (with roughly the same number of lesions) are randomly selected and given one of the three medications. Each sufferer records the time (in minutes) it takes the medication to begin working. The results are shown in the table below. She asks you to answer these questions (be sure to show your work).
State the null hypothesis and the alternative hypothesis for this situation.
At ? = 0.01, can you conclude that the mean times are different? Assume that each population of relief times is normally distributed and that the population variances are equal. Hint: Use a one-way ANOVA to solve this problem. Be certain to show your calculations and describe the process you used to solve this problem.
Determine three conclusions on the effectiveness of the medication by addressing observations or hypotheses regarding these initial tests.
Effectiveness of Over the Counter MedicationsMedication 1 (Minutes)Medication 2 (Minutes)Medication 3 (Minutes)121614151417172120121515 19 Summary of Data Analysis
Now that you have all of your data analysis:
Provide a three-paragraph summary of the findings you learned through the analysis.
Provide three data-driven suggestions for further exploration.
This course requires the use of Strayer Writing Standards. For assistance and information, please refer to the Strayer Writing Standards link in the left-hand menu of your course. Check with your professor for any additional instructions. The specific course learning outcome associated with this assignment is:
Recommend a course of action utilizing quantitative methods for health services including biostatistics, forecasting, and the modeling of predictive functions.
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A quantitative research study requires a numerical measure on the dependent variable. A quantitative measure is based on a scale. For example, say you are interested in measuring creativity of students. Search the internet, Google Scholar, journal articles, and/or the library to find an instrument that best matches your topic. For example, if your topic was “creativity,” you may want to try key terms such as; creativity measure, creativity scale, creativity instrument, etc. Read about the instrument and make sure it is a good fit.Then using the what you learned in the course, write a research question and testable null hypothesis that may be considered for your study. Include the following information in your post: (Research Question, Null hypothesis, Independent variable, Dependent variable, Quantitative Instrument, Participants, Statistical test, the reason for conducting the study and how it would glorify our Lord Jesus Christ).For example:Research Question: Do high school students who participate in a First Robotic Lego League club tend to be better at creative problem solving than students who do not participate in a Robotic Lego League club?Null Hypothesis: There is no difference in creative problem-solving scores of high school students who participate in a First Robotic Lego League club and those who do not participate in a First Robotic Lego League club.Independent variable: First Robotic Lego League club participationDependent variable: Creative problem solving scoresInstrument (Scale): Creativity and Problem-Solving Aptitude TestParticipants: Middle school students in the Fairfax Country School SystemStatistical Test: Independent Samples t-testWhy would you like to conduct this study? I am a science teacher in Fairfax County. Over the last few years I have sponsored the First Robotic Lego League club at my school. When interacting with my club students, I have observed that they are willing to spend hours to solve a problems related to their robotics challenge. This hands-on science experience appears to build confidence, grow their knowledge about science, and appears to develop creative problem solving. Some of my students’ solutions have amazed me. For example, one of the robotic competitions challenges required that the robot etc…How would your study glorify our Lord Jesus Christ (include scripture)? In the beginning God created, thus God is creative. The bible states in Genesis 1:27 (NIV), “So God created mankind in his own image, in the image of God he created them; male and female he created them.” I believe that God made us after His own image and place in us all the attribute of creativity. Creativity is etc…
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After considering Mary's study into whether the learning of 6th graders on a math lesson is affected by background noise levels. Mary option of utilizing a repeated measures design for this study, as a repeated-measures study allows for the management of the sample size of the overall study which is one of the major benefits of the repeated-measures study, issues arise in the repeated-measures study due to the use of identical participants found in the group instead of conducting the study with differing samples to increase the variety of the sampling of students participating in the study (Gravetter & Wallnau, 2013). For the study the use of SPSS will allow Mary to select an ANOVA as a form of analysis for the effect of background noise levels on the 6th grade students when given a math lesson. Additionally, ANOVA does not require tabulated data sets as an input or for the data to be sorted for the completion of the analysis, particularly with the ONEWAY ANOVA analysis providing for seven different test statistics for posteriori analysis and the ability to run priori as a subprogram of the ONEWAY ANOVA analysis, and ANOVA permits Mary to acquire analyses of variance for factorial designs, tolerating up to five factors in each design. (Kim & Kohout, 1975).Response to the above question using 150-250 words and please use at least 1 reference. Please ensure there is also a reference page at the end and that the reference page is formatted in APA 6th edition format. Please also ensure that reference is listed in response properly.
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Find the P-value;
you test H0: u=8 against H1: u (more signal) 8, based on a random sample of 15 observations from a normal population. The ...
Find the P-value;
you test H0: u=8 against H1: u (more signal) 8, based on a random sample of 15 observations from a normal population. The T test statistic is t=6.34.
Albany State University Wk 5 Statistical Forecasting Data Analysis
Week 5 Assignment - Case Study: Statistical Forecasting
Dr. Megan Zobb, a key researcher within the North Luna Universi ...
Albany State University Wk 5 Statistical Forecasting Data Analysis
Week 5 Assignment - Case Study: Statistical Forecasting
Dr. Megan Zobb, a key researcher within the North Luna University Medical Center, has been studying a new variant of a skin disease virus that seems to be surfacing among the North Luna University population. This variant (which has been tentatively named Painful Rash or PR), leads to the formation of surface lesions on an individual's body. These lesions are very similar to small boils or isolated shingles sores. These PR lesions are not necessarily clustered as shingles lesions are, but are isolated across the body.Insights From Initial Interviews
Megan is initiating some efforts at a preliminary analysis. She has seen 20 initial patients and made several observations about the skin disease. She wants to analyze this initial data before structuring and recommending a more encompassing study.The signs and symptoms of this disorder usually affect multiple sections of the patient's body. These signs and symptoms may include:
Pain, burning, numbness or tingling, but pain is always present.
Sensitivity to touch.
A red rash that begins a few days after the pain.
Fluid-filled blisters that break open and crust over.
Itching.
Some people also experience:
Fever.
Headache.
Sensitivity to light.
Fatigue.
Pain is always the first symptom of PR. For some, it can be intense. Depending on the location of the pain, it can sometimes be mistaken for a symptom of problems affecting the heart, lungs, or kidneys. Some people experience PR pain without ever developing the rash. The degree of pain that the individual experiences is seemingly proportional to the number of lesions.Dr. Zobb is extremely concerned that this new variant is especially challenging to the younger population, who are active and like to be outdoors. She has asked you as an analyst and statistician for some assistance in analyzing her initial data. She is not a biostatistician, so she requests that you explain the process you use and your interpretation of the results for each task.Initial Data Analysis
Dr. Zobb has accumulated some data on an initial set of 20 patients across multiple age groups. She believes that the data suggests younger individuals are affected more than others. She wants you to complete the tasks shown here based on the data below.For each of the following, provide a detailed explanation of the process you used along with your interpretation of the results. Submit the response in a Word document and attach your Excel spreadsheet to show your calculations (where applicable). Be sure to number each response (e.g., 1.a, 1.b,…).
Develop an equation to model the data using a regression analysis approach and explain your calculation process in Excel.
Calculate the r-square statistic using Excel. Interpret the meaning of the r-square statistic in this case.
Determine three conclusions that address the initial observations and are supported by the regression analysis.
Regression Analysis Initial DataPatient NumberAge of PatientNumber of Lesions124162637345124172452120672473213836169262110471011311512231813518142422152618162519173112181929191825202117 Effects of Sunlight Analysis
In her initial observations, Dr. Zobb notices that the number of lesions that appear on a patient seems to be dependent on the amount of direct sunlight exposure that the patient receives. She is uncertain at this point why this would be the case, but she is a good experimentalist and is trying to establish some observations that have statistical validity. She has taken a limited amount of data on 8 patients and wants you to complete the appropriate analysis based on the data below (be sure to show your work):
Develop an equation to model the data using a regression analysis approach and explain your calculation process, using Excel.
Megan has a small group of three additional patients that are the same age that she wants to examine for lesions. She knows the number of hours of continuous exposure to direct sunlight that each has experienced. Predict the number of lesions that each of these patients will have based on the regression analysis that you completed in your initial data analysis:
Patient 9 – 193 hours.
Patient 10 – 219 hours.
Patient 11 – 84 hours.
Determine three conclusions based on the correlation of the number of lesions to hours of sunlight exposure, using regression analysis.
Sunlight Exposure Regression DataPatient NumberTime of Continuous Exposure to Direct Sunlight
(Minutes)Number of Lesions122524218416322020424026518014618416718620821522Over the Counter Medication Effectiveness Analysis
Dr. Zobb wants to test several over the counter lotions—that is, lotions available without a prescription—that can be applied directly to the lesions. She wants to determine whether there is a difference in the mean length of time it takes these three types of pain lotions to provide relief from the pain caused by these lesions. Megan is hoping that one of these lotions might be more promising than the others. Several sufferers (with roughly the same number of lesions) are randomly selected and given one of the three medications. Each sufferer records the time (in minutes) it takes the medication to begin working. The results are shown in the table below. She asks you to answer these questions (be sure to show your work).
State the null hypothesis and the alternative hypothesis for this situation.
At ? = 0.01, can you conclude that the mean times are different? Assume that each population of relief times is normally distributed and that the population variances are equal. Hint: Use a one-way ANOVA to solve this problem. Be certain to show your calculations and describe the process you used to solve this problem.
Determine three conclusions on the effectiveness of the medication by addressing observations or hypotheses regarding these initial tests.
Effectiveness of Over the Counter MedicationsMedication 1 (Minutes)Medication 2 (Minutes)Medication 3 (Minutes)121614151417172120121515 19 Summary of Data Analysis
Now that you have all of your data analysis:
Provide a three-paragraph summary of the findings you learned through the analysis.
Provide three data-driven suggestions for further exploration.
This course requires the use of Strayer Writing Standards. For assistance and information, please refer to the Strayer Writing Standards link in the left-hand menu of your course. Check with your professor for any additional instructions. The specific course learning outcome associated with this assignment is:
Recommend a course of action utilizing quantitative methods for health services including biostatistics, forecasting, and the modeling of predictive functions.
4 pages
Depreciation
Depreciation
A variety of depreciation methods are used to allocate the cost of an asset to all of the accounting periods ...
Depreciation
Depreciation
A variety of depreciation methods are used to allocate the cost of an asset to all of the accounting periods benefited by the use of the asset. Your client has just purchased a piece of equipment for $100,000. Explain the concept of depreciation. Which of the following depreciation methods would you recommend: straight-line depreciation, double declining balance method, or an alternative method?
Discussion Board
A quantitative research study requires a numerical measure on the dependent variable. A quantitative measure is based on a ...
Discussion Board
A quantitative research study requires a numerical measure on the dependent variable. A quantitative measure is based on a scale. For example, say you are interested in measuring creativity of students. Search the internet, Google Scholar, journal articles, and/or the library to find an instrument that best matches your topic. For example, if your topic was “creativity,” you may want to try key terms such as; creativity measure, creativity scale, creativity instrument, etc. Read about the instrument and make sure it is a good fit.Then using the what you learned in the course, write a research question and testable null hypothesis that may be considered for your study. Include the following information in your post: (Research Question, Null hypothesis, Independent variable, Dependent variable, Quantitative Instrument, Participants, Statistical test, the reason for conducting the study and how it would glorify our Lord Jesus Christ).For example:Research Question: Do high school students who participate in a First Robotic Lego League club tend to be better at creative problem solving than students who do not participate in a Robotic Lego League club?Null Hypothesis: There is no difference in creative problem-solving scores of high school students who participate in a First Robotic Lego League club and those who do not participate in a First Robotic Lego League club.Independent variable: First Robotic Lego League club participationDependent variable: Creative problem solving scoresInstrument (Scale): Creativity and Problem-Solving Aptitude TestParticipants: Middle school students in the Fairfax Country School SystemStatistical Test: Independent Samples t-testWhy would you like to conduct this study? I am a science teacher in Fairfax County. Over the last few years I have sponsored the First Robotic Lego League club at my school. When interacting with my club students, I have observed that they are willing to spend hours to solve a problems related to their robotics challenge. This hands-on science experience appears to build confidence, grow their knowledge about science, and appears to develop creative problem solving. Some of my students’ solutions have amazed me. For example, one of the robotic competitions challenges required that the robot etc…How would your study glorify our Lord Jesus Christ (include scripture)? In the beginning God created, thus God is creative. The bible states in Genesis 1:27 (NIV), “So God created mankind in his own image, in the image of God he created them; male and female he created them.” I believe that God made us after His own image and place in us all the attribute of creativity. Creativity is etc…
ITEC 8437 Walden University Male versus Female CEO Independent Samples T Test Paper
✌ Last week, you ran a one-sample t test and a paired-samples t test. This week, you will run descriptive statistics and ...
ITEC 8437 Walden University Male versus Female CEO Independent Samples T Test Paper
✌ Last week, you ran a one-sample t test and a paired-samples t test. This week, you will run descriptive statistics and an independent-samples t test using the IT Security dataset. The independent-samples t test procedure compares means for two groups of cases; for example, when testing a new drug, a researcher may compare results from a treatment group with the results of a placebo (control) group.
Week 5 DQ 2 - response to classmate Frank Avita, statistics homework help
After considering Mary's study into whether the learning of 6th graders on a math lesson is affected by background noise l ...
Week 5 DQ 2 - response to classmate Frank Avita, statistics homework help
After considering Mary's study into whether the learning of 6th graders on a math lesson is affected by background noise levels. Mary option of utilizing a repeated measures design for this study, as a repeated-measures study allows for the management of the sample size of the overall study which is one of the major benefits of the repeated-measures study, issues arise in the repeated-measures study due to the use of identical participants found in the group instead of conducting the study with differing samples to increase the variety of the sampling of students participating in the study (Gravetter & Wallnau, 2013). For the study the use of SPSS will allow Mary to select an ANOVA as a form of analysis for the effect of background noise levels on the 6th grade students when given a math lesson. Additionally, ANOVA does not require tabulated data sets as an input or for the data to be sorted for the completion of the analysis, particularly with the ONEWAY ANOVA analysis providing for seven different test statistics for posteriori analysis and the ability to run priori as a subprogram of the ONEWAY ANOVA analysis, and ANOVA permits Mary to acquire analyses of variance for factorial designs, tolerating up to five factors in each design. (Kim & Kohout, 1975).Response to the above question using 150-250 words and please use at least 1 reference. Please ensure there is also a reference page at the end and that the reference page is formatted in APA 6th edition format. Please also ensure that reference is listed in response properly.
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