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What are the statements? It is not given , what are the choices, it is not clear, but from my own knowledge, I am writing...
For parallelogram,
BC=AD also BC and AD are parallel
AlsoAB=DC ,also AB and DC are parallel
So angleCAD=angle angle ACB as they are alternate angles
AlsoangleBDA=angleDBC again alternate angles
AC and BD are diagonal, crosses at E, E is the mid point of AC and BD
Hence AE=EC
And BE=ED
Please let me know if you need any clarification. I'm always happy to answer your questions.Completion Status:
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MA302 Grantham Week 8 Calculus I Test Help
Multiple Attempts Not allowed. This test can only be taken once. Force Completion This test can be saved and resumed later ...
MA302 Grantham Week 8 Calculus I Test Help
Multiple Attempts Not allowed. This test can only be taken once. Force Completion This test can be saved and resumed later.
Miami University Simple and Multiple Logistic Regression Models Discussion
Directions: Complete the following questions. The
questions have been separated into 4 parts of similar material. Part ...
Miami University Simple and Multiple Logistic Regression Models Discussion
Directions: Complete the following questions. The
questions have been separated into 4 parts of similar material. Parts
1, 2, and 3 will only use the corona_train data while Part 4 will use the corona_test data. Use the Markdown starter file here hw7_starter.Rmd.Part 1 - Odds1. Using the training dataset, compute the odds that a county has reported a Coronavirus-related death. (2pts)2. Does the odds of a Coronavirus-related death vary by Census
region? Compute the odds that a county has reported a
Coronavirus-related death for each Census region within the United
States. Compare these values to address the question. (3pts)Part 2 - Simple Logistic Regression3. Build a plot (or plots) to explore how the logarithm of the
population density predicts whether a county has recorded a
coronavirus-related death. Briefly discuss the results of your plot. (2pts)4. Build a simple logistic model to statistically determine if the
logarithm of the population density predicts the probability a county
has reported a Coronavirus-related death. Support your findings with an
appropriate hypothesis test. (3pts)Part 3 - Multiple Logistic Regression Models5. Fit a multiple logistic regression model with the census region,
the logarithm of population density, the cumulative coronavirus rate,
the median county age, the median income, the percent of the county that
are U.S. citizens, the percent with a college degree, the percent of
the population that are veterans of the U.S. armed services, the percent
with healthcare and the percent that voted for President Trump in the
2016 general election to predict the probability a county has reported a
Coronavirus-related death. Conduct an appropriate test to determine
whether this model significantly predicts the probability a county has
reported a Coronavirus-related death. (3pts)6. Perform a backward selection procedure on the model from question 5. Which variable(s) has/have been removed from the model. (2pts)7. We will now continue a backward selection procedure, but this time
using Likelihood Ratio test. Using the drop1() function to determine
which predictors are significant, iteratively remove all insignificant
predictors from the model in question 6. That is, look at the drop1()
output from the model in question 6, refit the model after removing all
insignificant terms, look at the drop1() output, refit the model after
removing all insignificant terms... Continue this process until all
predictors are significant. What predictor variables remain in the
model? (4pts)8. The starter file contains some code to help you along on this
problem. Build a table to compare the AIC, BIC and a Pseudo-R-squared
for the models fit in questions 5, 6 and 7. Which model is best with
respect to each metric? (3pts)9. Code was supplied for a Pseudo-R-squared calculation in question
8. Explain how this value mimics that of the traditional R-squared value
used in multiple linear regression. (2pts)10. For the model with the best BIC, of those fit in questions 5, 6,
or 7, interpret the coefficient regionWest. Be sure to explain this
coefficient in terms of odds (not log-odds, which do not provide a nice
interpretation). How does this compare to the results in question 2?
Why might they be similar/different? (3pts)Part 4 - Prediction11. We will use three fitted models built above to predict whether a
county in the testing dataset will have a Coronavirus-related death.
Some code is supplied in the starter file, edit and replicate so it will
make predictions using all three models. Briefly describe what this
code is doing. (2pts)12. Calculate and discuss the accuracy, sensitivity and specificity
for all three models to predict if a county has reported a
Coronavirus-related death. Which model appears to be the best model at
predicting if a county has a Coronavirus-related death? Code is provided
for the confusion matrix of the first model. Replicate this code to
generate the confusion matrices for the other two models. (6pts)13. Using the best model from the
previous question, compute the sensitivity and specificity if the
probability threshold (the 0.5 provided in the code for question 11)
were 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, and 0.9. Use these values
to complete the table in the starter file. Which threshold appears to be
the best choice? (5pts)NOTE: the ideas of sensitivity and specificity are
VERY relevant in today's society as scientist develop tests for the
COVID-19 Coronavirus; for both antibody and detection of the disease. We
felt it prudent to introduce these topics under the current
circumstances. Some Coding hintsWe have covered a lot this semester... In an effort to help you with
some of the necessary coding, we provide the following hints but note
additional code is needed for all to workxtabs() can be used in questions 1, 2, and 12ggplot() is needed in question 3glm(), drop1() and/or anova() are needed in questions 4, 5, 7 and 8stats::step() is needed in question 6summary() will provide output with model coefficients, you can also use coef()I need rmd and html file in the end.
De La Salle College The Relationship Between Nutrition and Weight Report
In public health, data are often gathered from separate groups in order to describe health-related behavior for a topic of ...
De La Salle College The Relationship Between Nutrition and Weight Report
In public health, data are often gathered from separate groups in order to describe health-related behavior for a topic of interest. In practice, a larger sample is often surveyed, and then focus groups or interviews can be conducted with a smaller subset of the sample. The quantitative survey data from a larger group helps to identify health-related trends and patterns within the sample group. The qualitative data collected with the smaller group complements the quantitative survey data and helps to determine why and how a phenomenon exists. The cumulative findings can then help public health professionals form a conclusion about the health issue and inform future public health research, policy, and practice.The purpose of this assignment is to analyze qualitative and quantitative data from two separate groups, propose a research question, and then disseminate your findings in a mixed-methods manuscript. The survey and focus group are both on the topic of nutrition. The quantitative data is adapted from the Youth Risk Behavior Surveillance System (YRBSS), and the qualitative data is from a focus group transcript in which 9th grade girls discussed healthy eating.For this assignment, you will use:IBM SPSS Statistics and the "Youth Risk Behavior Surveillance System Dataset" to conduct a basic quantitative statistical analysis.The "9th Grade Girls Healthy Food Focus Group Transcription" to conduct a qualitative analysis and identify key themes.Part 1: Analyzing DataUsing the resources indicated above, conduct the following analyses and record the results on the "Results and Outputs" template. Attach this document as an Appendix in your paper.Qualitative Analysis: Read the "9th Grade Girls Healthy Food Focus Group Transcription." This transcript is from a focus group of 9th grade girls discussing healthy eating with the moderator. Generate codes and summarize the qualitative data.Quantitative Analysis:Review the "Youth Risk Behavior Surveillance System Dataset." Identify two or three variables of interest and identify a study topic for your paper. Conduct a literature search for three to five peer-reviewed articles from the last 5 years that have studies supporting your topic. Develop a research question for your study based on the selected variables. The research question should demonstrate support for the focus group results and should be supported by existing literature.Prepare the data to complete the analysis based on your research question.Using SPSS, conduct descriptive statistics to summarize the sample.Using SPSS, select an appropriate quantitative inferential statistical test to analyze the data.Part 2: Reporting DataPrepare a 1,250-1,500 word manuscript to disseminate the findings of your proposed study. The study should be based on your proposed research question and supported by the findings from the qualitative and quantitative analyses above, as well as by current literature. Include the following:AbstractA 150-250 word summary of the manuscript.IntroductionSummarize the purpose of the research, the problem being addressed, and your proposed research question.Support your summary using three to five peer-reviewed articles from the last 5 years that are relevant to your topic and that support why the study is being conducted.MethodsQualitative Methods (Focus Group)Describe the focus group sample and data collection process.Describe the process used to analyze the qualitative data.Quantitative Methods (YRBSS Survey)Discuss how the data were collected.Identify and describe the variables used in the analysis.Describe the descriptive and inferential statistical tests that were conducted.Identify the software that was used to conduct the analysis.ResultsQualitative Results (Focus Group)Summarize the results of the qualitative analysis from the "9th Grade Girls Healthy Food Focus Group Transcription."Quantitative Results (YRBSS Survey)Summarize the sample using the results of the descriptive statistics.Describe the main outcomes of the inferential statistical analysis.Include at least one table or figure to support the results.DiscussionInterpret the study results in relation to the related literature and study purpose.Discuss the study limitations.Based on the interpreted results of the study, provide recommendations for future public health research, policy, or practice.Appendix"Results and Outputs" analysis document.General RequirementsYou are required to cite to a minimum of three sources to complete this assignment. Sources must be published within the last 5 years and appropriate for the assignment criteria and public health content.Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.Benchmark InformationThis benchmark assignment assesses the following programmatic competencies:Master Public Health2.2: Select quantitative and qualitative data collection methods appropriate for a given public health context.2.3: Analyze quantitative and qualitative data using biostatistics, informatics, computer-based programming, and software, as appropriate.2.4: Interpret results of data analysis for public health research, policy, or practice.MSN Public Health Nursing6.3: Interpret results of data analysis for public health research, policy, or practice.
University of California Los Angeles Design for One Way ANOVA Testing Discussion
To prepare for this Discussion: Review the Learning Resources and the media programs related to ANOVA testing.Search for ...
University of California Los Angeles Design for One Way ANOVA Testing Discussion
To prepare for this Discussion: Review the Learning Resources and the media programs related to ANOVA testing.Search for and select a quantitative article specific to your discipline and related to ANOVA testing. Help with this task may be found in the Course guide and assignment help linked in this week’s Learning Resources. Also, you can use as guide the Research Design Alignment Table located in this week’s Learning Resources. Write a 3- to 5-paragraphs critique of the article. In your critique, include responses to the following: Which is the research design used by the authors?Why did the authors use ANOVA test?Do you think it’s the most appropriate choice? Why or why not?Did the authors display the data?Do the results stand alone? Why or why not?Did the authors report effect size? If yes, is this meaningful? Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
Linear Regression Project
In this project you will chose a data set that interests you and investigate a possible association between two variables ...
Linear Regression Project
In this project you will chose a data set that interests you and investigate a possible association between two variables within that data set. This project will give you an opportunity to use StatCrunch to apply the skills and techniques you have learned in this class and to produce a professional report. To produce a successful project you must:Read and follow the instructions carefully.Give yourself sufficient time to work on the project.Write clearly, using appropriate statistical terminology and correct mathematical notation. College-level writing is expected, as is the use of proper grammar.Use StatCrunch to complete all calculations and graphs.Create original work. The following link describes, in detail, plagiarism, fair use and HCC’s academic policy: Fair Use and Academic Honesty (Links to an external site.) Furthermore, this means that students who are repeating the course are expected to create an entirely new project using two new variables of interest.Submit a professional report that is typed and formatted and organized wellSubmit your project via Canvas as a PDF or Word file.PROJECT INSTRUCTIONSFor this project you are going to choose one data set from the list below that you find interesting and investigate an association between two variables within that data set. You will then examine the data and write a two page report. In your report you should:Introduce the data set and explain why you chose it.Describe the variables you chose and thoroughly explain what you are investigating. Be sure to define which variable is the explanatory variable and which is the response variable.Using StatCrunch, create an appropriate graph for the association you are investigating and calculate the correlation coefficient and the linear model. Be sure your graph is appropriately labeled and that it includes a title and then copy it into your paper.Report the correlation coefficient.Describe the association you are investigating using correct statistical terminology. Reference your graph and the correlation coefficient, and be sure to note any possible outliers.Report the linear model using correct notation.Interpret the slope and vertical intercept of your model, and discuss the appropriateness of your model.Summarize your findings and draw a conclusion.DATA SETSBelow is a list of data sets - choose one for your project. The links will not work directly, so please follow these directions: In Canvas, click on MyLab and Mastering --> Open My Lab and Mastering --> StatCrunch (on the left) --> Visit the StatCrunch Website --> Open StatCrunch (yellow button at top of page, it will auto login)Then copy/paste a URL below into either the current tab or a new tabTo save your data and work, go to the Data tab and choose SaveTo Re-open your saved file, click on MyLab and Mastering --> Open My Lab and Mastering --> StatCrunch (on the left) --> Visit the StatCrunch Website -->MyStatCrunch (on the right side)-->My DataMarriage vs. the Economy: https://www.statcrunch.com/app/index.php?dataid=28... This data set compares the number of marriages in the last 30 years to several factors of the economy. COMPLETION CHECKLISTUse the following checklist when proofreading your project.For each aspect below, an excellent report will: IntroductionGive the name of the data set chosen as well as some details describing the data set. (This may require following links or referencing the text)Include a clear justification for why the data set was chosen.Involve two quantitative variables.Clearly and thoroughly describe the variables chosen. (This may require following links or referencing the text)Clearly and correctly assign explanatory and response variables.Thoroughly explain the association being investigated and give a logical justification for why the author believes the association exists.GraphInclude an appropriate scatterplot generated using StatCrunch.Accurately assign and clearly label the axes for the scatterplot.Include an appropriate title for the scatterplot. Include the appropriate correlation coefficient for the association generated using StatCrunch.Include an accurate and thorough description of the association with reference to the graph, correlation coefficient and any outliers. Linear Association ModelInclude an appropriate linear regression model generated using StatCrunch and written using correct notation and typesetting.Give an accurate and detailed interpretation of the slope of the linear regression model.Give an accurate and detailed interpretation of the y-intercept of the linear regression model.Thoroughly discuss the appropriateness of the linear regression model with reference to other aspects of the report.ConclusionIncludes a summary of the findings and a clear conclusion regarding the association.Appear highly professional, be easy to read and comprehend, and use correct statistical vocabulary.
Help with points and segments
Find the length of if A = (-3, 5) and B = (2 ...
Help with points and segments
Find the length of if A = (-3, 5) and B = (2, 1). Round to the nearest tenth, if necessary.a. 6.4b. 4.1c. 8.1d. 5Find the length of if P = (8, -4) and Q = (-3, -4). Round to the nearest tenth, if necessary.a. 13.6b. 11c. 5d. 9.4On the number line below, find the coordinates of point U such that the length of is the length of from R to T.a. 8b. -2c. 2d. 0On the number line below, find the coordinates of P such that the length of is the length of from L to N.a. -2b. 1c. 8d. 4Points X(6, 4) and Y(-4, -16) are the endpoints of . What are the coordinates of point Z on such that XZ is the length of ?a. (-2, -12)b. (14, 20)c. (4, 0)d. (-12, -32)Find the coordinates of O on the number line below such that O partitions such that MO:MN is in a 3:4 ratio.a. 3b. 2c. 8d. 5.25On the coordinate plane below, find the coordinates of S such that is the length of .a. (3,2)b. (-3, 4)c. (0,3)d. (9,0)Find the coordinates of P along the directed line segment of AB so that the ratio of AP:PB is 3:2. a. (1.4, 1.2)b. c. (0.6, -0.2)d. On the coordinate plane below, find the coordinates of R such that is the length of from Q to T.a. (-1, -1)b. (3.2, 1.8)c. (-2.2, -1.8)d. (-5.8, -4.2)
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MA302 Grantham Week 8 Calculus I Test Help
Multiple Attempts Not allowed. This test can only be taken once. Force Completion This test can be saved and resumed later ...
MA302 Grantham Week 8 Calculus I Test Help
Multiple Attempts Not allowed. This test can only be taken once. Force Completion This test can be saved and resumed later.
Miami University Simple and Multiple Logistic Regression Models Discussion
Directions: Complete the following questions. The
questions have been separated into 4 parts of similar material. Part ...
Miami University Simple and Multiple Logistic Regression Models Discussion
Directions: Complete the following questions. The
questions have been separated into 4 parts of similar material. Parts
1, 2, and 3 will only use the corona_train data while Part 4 will use the corona_test data. Use the Markdown starter file here hw7_starter.Rmd.Part 1 - Odds1. Using the training dataset, compute the odds that a county has reported a Coronavirus-related death. (2pts)2. Does the odds of a Coronavirus-related death vary by Census
region? Compute the odds that a county has reported a
Coronavirus-related death for each Census region within the United
States. Compare these values to address the question. (3pts)Part 2 - Simple Logistic Regression3. Build a plot (or plots) to explore how the logarithm of the
population density predicts whether a county has recorded a
coronavirus-related death. Briefly discuss the results of your plot. (2pts)4. Build a simple logistic model to statistically determine if the
logarithm of the population density predicts the probability a county
has reported a Coronavirus-related death. Support your findings with an
appropriate hypothesis test. (3pts)Part 3 - Multiple Logistic Regression Models5. Fit a multiple logistic regression model with the census region,
the logarithm of population density, the cumulative coronavirus rate,
the median county age, the median income, the percent of the county that
are U.S. citizens, the percent with a college degree, the percent of
the population that are veterans of the U.S. armed services, the percent
with healthcare and the percent that voted for President Trump in the
2016 general election to predict the probability a county has reported a
Coronavirus-related death. Conduct an appropriate test to determine
whether this model significantly predicts the probability a county has
reported a Coronavirus-related death. (3pts)6. Perform a backward selection procedure on the model from question 5. Which variable(s) has/have been removed from the model. (2pts)7. We will now continue a backward selection procedure, but this time
using Likelihood Ratio test. Using the drop1() function to determine
which predictors are significant, iteratively remove all insignificant
predictors from the model in question 6. That is, look at the drop1()
output from the model in question 6, refit the model after removing all
insignificant terms, look at the drop1() output, refit the model after
removing all insignificant terms... Continue this process until all
predictors are significant. What predictor variables remain in the
model? (4pts)8. The starter file contains some code to help you along on this
problem. Build a table to compare the AIC, BIC and a Pseudo-R-squared
for the models fit in questions 5, 6 and 7. Which model is best with
respect to each metric? (3pts)9. Code was supplied for a Pseudo-R-squared calculation in question
8. Explain how this value mimics that of the traditional R-squared value
used in multiple linear regression. (2pts)10. For the model with the best BIC, of those fit in questions 5, 6,
or 7, interpret the coefficient regionWest. Be sure to explain this
coefficient in terms of odds (not log-odds, which do not provide a nice
interpretation). How does this compare to the results in question 2?
Why might they be similar/different? (3pts)Part 4 - Prediction11. We will use three fitted models built above to predict whether a
county in the testing dataset will have a Coronavirus-related death.
Some code is supplied in the starter file, edit and replicate so it will
make predictions using all three models. Briefly describe what this
code is doing. (2pts)12. Calculate and discuss the accuracy, sensitivity and specificity
for all three models to predict if a county has reported a
Coronavirus-related death. Which model appears to be the best model at
predicting if a county has a Coronavirus-related death? Code is provided
for the confusion matrix of the first model. Replicate this code to
generate the confusion matrices for the other two models. (6pts)13. Using the best model from the
previous question, compute the sensitivity and specificity if the
probability threshold (the 0.5 provided in the code for question 11)
were 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, and 0.9. Use these values
to complete the table in the starter file. Which threshold appears to be
the best choice? (5pts)NOTE: the ideas of sensitivity and specificity are
VERY relevant in today's society as scientist develop tests for the
COVID-19 Coronavirus; for both antibody and detection of the disease. We
felt it prudent to introduce these topics under the current
circumstances. Some Coding hintsWe have covered a lot this semester... In an effort to help you with
some of the necessary coding, we provide the following hints but note
additional code is needed for all to workxtabs() can be used in questions 1, 2, and 12ggplot() is needed in question 3glm(), drop1() and/or anova() are needed in questions 4, 5, 7 and 8stats::step() is needed in question 6summary() will provide output with model coefficients, you can also use coef()I need rmd and html file in the end.
De La Salle College The Relationship Between Nutrition and Weight Report
In public health, data are often gathered from separate groups in order to describe health-related behavior for a topic of ...
De La Salle College The Relationship Between Nutrition and Weight Report
In public health, data are often gathered from separate groups in order to describe health-related behavior for a topic of interest. In practice, a larger sample is often surveyed, and then focus groups or interviews can be conducted with a smaller subset of the sample. The quantitative survey data from a larger group helps to identify health-related trends and patterns within the sample group. The qualitative data collected with the smaller group complements the quantitative survey data and helps to determine why and how a phenomenon exists. The cumulative findings can then help public health professionals form a conclusion about the health issue and inform future public health research, policy, and practice.The purpose of this assignment is to analyze qualitative and quantitative data from two separate groups, propose a research question, and then disseminate your findings in a mixed-methods manuscript. The survey and focus group are both on the topic of nutrition. The quantitative data is adapted from the Youth Risk Behavior Surveillance System (YRBSS), and the qualitative data is from a focus group transcript in which 9th grade girls discussed healthy eating.For this assignment, you will use:IBM SPSS Statistics and the "Youth Risk Behavior Surveillance System Dataset" to conduct a basic quantitative statistical analysis.The "9th Grade Girls Healthy Food Focus Group Transcription" to conduct a qualitative analysis and identify key themes.Part 1: Analyzing DataUsing the resources indicated above, conduct the following analyses and record the results on the "Results and Outputs" template. Attach this document as an Appendix in your paper.Qualitative Analysis: Read the "9th Grade Girls Healthy Food Focus Group Transcription." This transcript is from a focus group of 9th grade girls discussing healthy eating with the moderator. Generate codes and summarize the qualitative data.Quantitative Analysis:Review the "Youth Risk Behavior Surveillance System Dataset." Identify two or three variables of interest and identify a study topic for your paper. Conduct a literature search for three to five peer-reviewed articles from the last 5 years that have studies supporting your topic. Develop a research question for your study based on the selected variables. The research question should demonstrate support for the focus group results and should be supported by existing literature.Prepare the data to complete the analysis based on your research question.Using SPSS, conduct descriptive statistics to summarize the sample.Using SPSS, select an appropriate quantitative inferential statistical test to analyze the data.Part 2: Reporting DataPrepare a 1,250-1,500 word manuscript to disseminate the findings of your proposed study. The study should be based on your proposed research question and supported by the findings from the qualitative and quantitative analyses above, as well as by current literature. Include the following:AbstractA 150-250 word summary of the manuscript.IntroductionSummarize the purpose of the research, the problem being addressed, and your proposed research question.Support your summary using three to five peer-reviewed articles from the last 5 years that are relevant to your topic and that support why the study is being conducted.MethodsQualitative Methods (Focus Group)Describe the focus group sample and data collection process.Describe the process used to analyze the qualitative data.Quantitative Methods (YRBSS Survey)Discuss how the data were collected.Identify and describe the variables used in the analysis.Describe the descriptive and inferential statistical tests that were conducted.Identify the software that was used to conduct the analysis.ResultsQualitative Results (Focus Group)Summarize the results of the qualitative analysis from the "9th Grade Girls Healthy Food Focus Group Transcription."Quantitative Results (YRBSS Survey)Summarize the sample using the results of the descriptive statistics.Describe the main outcomes of the inferential statistical analysis.Include at least one table or figure to support the results.DiscussionInterpret the study results in relation to the related literature and study purpose.Discuss the study limitations.Based on the interpreted results of the study, provide recommendations for future public health research, policy, or practice.Appendix"Results and Outputs" analysis document.General RequirementsYou are required to cite to a minimum of three sources to complete this assignment. Sources must be published within the last 5 years and appropriate for the assignment criteria and public health content.Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.Benchmark InformationThis benchmark assignment assesses the following programmatic competencies:Master Public Health2.2: Select quantitative and qualitative data collection methods appropriate for a given public health context.2.3: Analyze quantitative and qualitative data using biostatistics, informatics, computer-based programming, and software, as appropriate.2.4: Interpret results of data analysis for public health research, policy, or practice.MSN Public Health Nursing6.3: Interpret results of data analysis for public health research, policy, or practice.
University of California Los Angeles Design for One Way ANOVA Testing Discussion
To prepare for this Discussion: Review the Learning Resources and the media programs related to ANOVA testing.Search for ...
University of California Los Angeles Design for One Way ANOVA Testing Discussion
To prepare for this Discussion: Review the Learning Resources and the media programs related to ANOVA testing.Search for and select a quantitative article specific to your discipline and related to ANOVA testing. Help with this task may be found in the Course guide and assignment help linked in this week’s Learning Resources. Also, you can use as guide the Research Design Alignment Table located in this week’s Learning Resources. Write a 3- to 5-paragraphs critique of the article. In your critique, include responses to the following: Which is the research design used by the authors?Why did the authors use ANOVA test?Do you think it’s the most appropriate choice? Why or why not?Did the authors display the data?Do the results stand alone? Why or why not?Did the authors report effect size? If yes, is this meaningful? Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
Linear Regression Project
In this project you will chose a data set that interests you and investigate a possible association between two variables ...
Linear Regression Project
In this project you will chose a data set that interests you and investigate a possible association between two variables within that data set. This project will give you an opportunity to use StatCrunch to apply the skills and techniques you have learned in this class and to produce a professional report. To produce a successful project you must:Read and follow the instructions carefully.Give yourself sufficient time to work on the project.Write clearly, using appropriate statistical terminology and correct mathematical notation. College-level writing is expected, as is the use of proper grammar.Use StatCrunch to complete all calculations and graphs.Create original work. The following link describes, in detail, plagiarism, fair use and HCC’s academic policy: Fair Use and Academic Honesty (Links to an external site.) Furthermore, this means that students who are repeating the course are expected to create an entirely new project using two new variables of interest.Submit a professional report that is typed and formatted and organized wellSubmit your project via Canvas as a PDF or Word file.PROJECT INSTRUCTIONSFor this project you are going to choose one data set from the list below that you find interesting and investigate an association between two variables within that data set. You will then examine the data and write a two page report. In your report you should:Introduce the data set and explain why you chose it.Describe the variables you chose and thoroughly explain what you are investigating. Be sure to define which variable is the explanatory variable and which is the response variable.Using StatCrunch, create an appropriate graph for the association you are investigating and calculate the correlation coefficient and the linear model. Be sure your graph is appropriately labeled and that it includes a title and then copy it into your paper.Report the correlation coefficient.Describe the association you are investigating using correct statistical terminology. Reference your graph and the correlation coefficient, and be sure to note any possible outliers.Report the linear model using correct notation.Interpret the slope and vertical intercept of your model, and discuss the appropriateness of your model.Summarize your findings and draw a conclusion.DATA SETSBelow is a list of data sets - choose one for your project. The links will not work directly, so please follow these directions: In Canvas, click on MyLab and Mastering --> Open My Lab and Mastering --> StatCrunch (on the left) --> Visit the StatCrunch Website --> Open StatCrunch (yellow button at top of page, it will auto login)Then copy/paste a URL below into either the current tab or a new tabTo save your data and work, go to the Data tab and choose SaveTo Re-open your saved file, click on MyLab and Mastering --> Open My Lab and Mastering --> StatCrunch (on the left) --> Visit the StatCrunch Website -->MyStatCrunch (on the right side)-->My DataMarriage vs. the Economy: https://www.statcrunch.com/app/index.php?dataid=28... This data set compares the number of marriages in the last 30 years to several factors of the economy. COMPLETION CHECKLISTUse the following checklist when proofreading your project.For each aspect below, an excellent report will: IntroductionGive the name of the data set chosen as well as some details describing the data set. (This may require following links or referencing the text)Include a clear justification for why the data set was chosen.Involve two quantitative variables.Clearly and thoroughly describe the variables chosen. (This may require following links or referencing the text)Clearly and correctly assign explanatory and response variables.Thoroughly explain the association being investigated and give a logical justification for why the author believes the association exists.GraphInclude an appropriate scatterplot generated using StatCrunch.Accurately assign and clearly label the axes for the scatterplot.Include an appropriate title for the scatterplot. Include the appropriate correlation coefficient for the association generated using StatCrunch.Include an accurate and thorough description of the association with reference to the graph, correlation coefficient and any outliers. Linear Association ModelInclude an appropriate linear regression model generated using StatCrunch and written using correct notation and typesetting.Give an accurate and detailed interpretation of the slope of the linear regression model.Give an accurate and detailed interpretation of the y-intercept of the linear regression model.Thoroughly discuss the appropriateness of the linear regression model with reference to other aspects of the report.ConclusionIncludes a summary of the findings and a clear conclusion regarding the association.Appear highly professional, be easy to read and comprehend, and use correct statistical vocabulary.
Help with points and segments
Find the length of if A = (-3, 5) and B = (2 ...
Help with points and segments
Find the length of if A = (-3, 5) and B = (2, 1). Round to the nearest tenth, if necessary.a. 6.4b. 4.1c. 8.1d. 5Find the length of if P = (8, -4) and Q = (-3, -4). Round to the nearest tenth, if necessary.a. 13.6b. 11c. 5d. 9.4On the number line below, find the coordinates of point U such that the length of is the length of from R to T.a. 8b. -2c. 2d. 0On the number line below, find the coordinates of P such that the length of is the length of from L to N.a. -2b. 1c. 8d. 4Points X(6, 4) and Y(-4, -16) are the endpoints of . What are the coordinates of point Z on such that XZ is the length of ?a. (-2, -12)b. (14, 20)c. (4, 0)d. (-12, -32)Find the coordinates of O on the number line below such that O partitions such that MO:MN is in a 3:4 ratio.a. 3b. 2c. 8d. 5.25On the coordinate plane below, find the coordinates of S such that is the length of .a. (3,2)b. (-3, 4)c. (0,3)d. (9,0)Find the coordinates of P along the directed line segment of AB so that the ratio of AP:PB is 3:2. a. (1.4, 1.2)b. c. (0.6, -0.2)d. On the coordinate plane below, find the coordinates of R such that is the length of from Q to T.a. (-1, -1)b. (3.2, 1.8)c. (-2.2, -1.8)d. (-5.8, -4.2)
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