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A flagpole casts a shadow of 14ft when the sun is at an angle of elevation of 2(pie) / 5. How tall is the flagpole? Round to the nearest tenth
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Kine 4310 Project
I. Standard scores & Correlation (all the data tables: 15 students only & using avg as X) Please calculate the standard de ...
Kine 4310 Project
I. Standard scores & Correlation (all the data tables: 15 students only & using avg as X) Please calculate the standard deviation, mean, the ...
K-Means Clustering and Logistic Regression Paper
What is "k-means clustering," and how might it help healthcare administration leaders in their health services organizatio ...
K-Means Clustering and Logistic Regression Paper
What is "k-means clustering," and how might it help healthcare administration leaders in their health services organization? One of the more common methods of clustering is the use of k-means, where "k" is the number of clusters that are meant to describe the population of interest. For example, what if you were interested in segmenting patients based on satisfaction levels? K-means clustering could be used in the same way to help describe this given population. This technique might assist leaders in determining what characteristics need to be considered in order to study crime and unemployment. In striving to address the problem, k-means clustering is an effective tool for leadership to consider. For this Assignment, review the resources for this week, and examine the k-means clustering approach. Reflect on how you might apply this approach to an issue or challenge in a health services organization. Then, complete the problems for the Assignment. The Assignment: (3–5 pages) Complete Problem 21 on page 938 of your course text. Note: You will need to complete a logistic regression, as well as a k-means cluster analysis, using SPSS. By Day 7 Submit your answers and embedded analysis as a Microsoft Word management report.
UCLA Socio Economic Factors and High Poverty in An Africa Discussion Questions
To prepare for this Discussion: Review this week’s Learning Resources and media program related to multiple regression. ...
UCLA Socio Economic Factors and High Poverty in An Africa Discussion Questions
To prepare for this Discussion: Review this week’s Learning Resources and media program related to multiple regression.Create a research question using the General Social Survey that can be answered by multiple regression. Use SPSS to answer the research question. Post your response to the following: If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1Par1Edu.What is your research question?What is the null hypothesis for your question?What research design would align with this question?What dependent variable was used and how is it measured?What independent variable is used and how is it measured?What other variables were added to the multiple regression models as controls?What is the justification for adding the variables?If you found significance, what is the strength of the effect?Explain your results for a lay audience, explain what the answer to your research question.
3 Statistics problems case studies, statistics homework help
PLEASE READ THE QUESTIONS/PROBLEMS CAREFULLY; SHOW ALL YOUR WORK AND REASONING, Just the answer, without supporting work, ...
3 Statistics problems case studies, statistics homework help
PLEASE READ THE QUESTIONS/PROBLEMS CAREFULLY; SHOW ALL YOUR WORK AND REASONING, Just the answer, without supporting work, will receive no credit.1.(Show your work.) A Nissan Motor Corporation advertisement read:“The average man’s I.Q. is 107. The average brown trout’s I.Q. is 4. So why can’t man catch brown trout?” Suppose you believe that the brown trout’s mean I.Q. is greater than four. You catch 12 brown trout. A fish psychologist determines the I.Q.s as follows: 5; 4; 7; 3; 6; 4; 5; 3; 6; 3; 8; 5. Conduct a hypothesis test of your belief. Use a significant level of 5%. The standard deviation of the I.Q.s listed is approximately 1.62.2.(Show your work.) According to the Center for Disease Control website, in 2011 at least 18% of high school students have smoked a cigarette. An Introduction to Statistics class in Davies County, KY conducted a hypothesis test at the local high school (a medium sized–approximately 1,200 students–small city demographic) to determine if the local high school’s percentage was lower. One hundred fifty students were chosen at random and surveyed. Of the 150 students surveyed, 82 have smoked. Use a significance level of 0.05 and using appropriate statistical evidence, conduct a hypothesis test and state the conclusions. 3.(Show your work.) A study is done to determine if students in the California state university system take longer to graduate, on average, than students enrolled in private universities. One hundred students from both the California state university system and private universities are surveyed; suppose that from years of research, it is known that the population standard deviations are 1.5811 years and 1 year, respectively. The following data are collected. The California state university system students took on average 4.5 years with a standard deviation of 0.8. The private university students took on average 4.1 years with a standard deviation of 0.3. What would be your conclusions based on significance levels of 5% and 1%?
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Most Popular Content
4 pages
Kine 4310 Project
I. Standard scores & Correlation (all the data tables: 15 students only & using avg as X) Please calculate the standard de ...
Kine 4310 Project
I. Standard scores & Correlation (all the data tables: 15 students only & using avg as X) Please calculate the standard deviation, mean, the ...
K-Means Clustering and Logistic Regression Paper
What is "k-means clustering," and how might it help healthcare administration leaders in their health services organizatio ...
K-Means Clustering and Logistic Regression Paper
What is "k-means clustering," and how might it help healthcare administration leaders in their health services organization? One of the more common methods of clustering is the use of k-means, where "k" is the number of clusters that are meant to describe the population of interest. For example, what if you were interested in segmenting patients based on satisfaction levels? K-means clustering could be used in the same way to help describe this given population. This technique might assist leaders in determining what characteristics need to be considered in order to study crime and unemployment. In striving to address the problem, k-means clustering is an effective tool for leadership to consider. For this Assignment, review the resources for this week, and examine the k-means clustering approach. Reflect on how you might apply this approach to an issue or challenge in a health services organization. Then, complete the problems for the Assignment. The Assignment: (3–5 pages) Complete Problem 21 on page 938 of your course text. Note: You will need to complete a logistic regression, as well as a k-means cluster analysis, using SPSS. By Day 7 Submit your answers and embedded analysis as a Microsoft Word management report.
UCLA Socio Economic Factors and High Poverty in An Africa Discussion Questions
To prepare for this Discussion: Review this week’s Learning Resources and media program related to multiple regression. ...
UCLA Socio Economic Factors and High Poverty in An Africa Discussion Questions
To prepare for this Discussion: Review this week’s Learning Resources and media program related to multiple regression.Create a research question using the General Social Survey that can be answered by multiple regression. Use SPSS to answer the research question. Post your response to the following: If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1Par1Edu.What is your research question?What is the null hypothesis for your question?What research design would align with this question?What dependent variable was used and how is it measured?What independent variable is used and how is it measured?What other variables were added to the multiple regression models as controls?What is the justification for adding the variables?If you found significance, what is the strength of the effect?Explain your results for a lay audience, explain what the answer to your research question.
3 Statistics problems case studies, statistics homework help
PLEASE READ THE QUESTIONS/PROBLEMS CAREFULLY; SHOW ALL YOUR WORK AND REASONING, Just the answer, without supporting work, ...
3 Statistics problems case studies, statistics homework help
PLEASE READ THE QUESTIONS/PROBLEMS CAREFULLY; SHOW ALL YOUR WORK AND REASONING, Just the answer, without supporting work, will receive no credit.1.(Show your work.) A Nissan Motor Corporation advertisement read:“The average man’s I.Q. is 107. The average brown trout’s I.Q. is 4. So why can’t man catch brown trout?” Suppose you believe that the brown trout’s mean I.Q. is greater than four. You catch 12 brown trout. A fish psychologist determines the I.Q.s as follows: 5; 4; 7; 3; 6; 4; 5; 3; 6; 3; 8; 5. Conduct a hypothesis test of your belief. Use a significant level of 5%. The standard deviation of the I.Q.s listed is approximately 1.62.2.(Show your work.) According to the Center for Disease Control website, in 2011 at least 18% of high school students have smoked a cigarette. An Introduction to Statistics class in Davies County, KY conducted a hypothesis test at the local high school (a medium sized–approximately 1,200 students–small city demographic) to determine if the local high school’s percentage was lower. One hundred fifty students were chosen at random and surveyed. Of the 150 students surveyed, 82 have smoked. Use a significance level of 0.05 and using appropriate statistical evidence, conduct a hypothesis test and state the conclusions. 3.(Show your work.) A study is done to determine if students in the California state university system take longer to graduate, on average, than students enrolled in private universities. One hundred students from both the California state university system and private universities are surveyed; suppose that from years of research, it is known that the population standard deviations are 1.5811 years and 1 year, respectively. The following data are collected. The California state university system students took on average 4.5 years with a standard deviation of 0.8. The private university students took on average 4.1 years with a standard deviation of 0.3. What would be your conclusions based on significance levels of 5% and 1%?
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