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Explanation & Answer
P(4) first = 4/52, P(4) second = 3/51
So P(4) first * P(4) second = 12/2652 = 1/221
The answer is A, 1/221
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Assignment Statistical Thinking In Healthcare.edited
From the above process map, there are two key problems that the HMO Pharmacy might be experiencing. Firstly, the pharmacy ...
Assignment Statistical Thinking In Healthcare.edited
From the above process map, there are two key problems that the HMO Pharmacy might be experiencing. Firstly, the pharmacy may be processing inaccurate ...
Langston University Importance of Knowledge of Statistics in Psychology Presentation
For your Signature Assignment, you will create a PowerPoint presentation suitable to use for a lecture in an introductory ...
Langston University Importance of Knowledge of Statistics in Psychology Presentation
For your Signature Assignment, you will create a PowerPoint presentation suitable to use for a lecture in an introductory statistics class. You should include the following in your presentation:
A description of why knowledge of statistics is important in careers in psychology as well as in everyday life.
A description of the difference between descriptive and inferential statistics.
A description of the inferential tests discussed during this class. You should discuss the types of data that are appropriate for each test (i.e., nominal, ordinal, interval, or ratio). You should create a specific research example that would yield data appropriate for each of the tests that you mention. You should describe each of the variables involved in your research question and how that variable will be measured.
A discussion of any ethical concerns that need to be considered for each of the research examples.
At least one graph demonstrating how the results of the statistical test should be presented.
Incorporate speaker notes, appropriate animations, transitions, and graphics as well as speaker notes for each slide. The speaker notes may be comprised of brief paragraphs or bulleted lists.
Support your presentation with at least three scholarly resources. In addition to these specified resources, other appropriate scholarly resources may be included.
We want to collect the Max. Temperature reading for each day in your home city or a city near you in February and August for a minimum of 3years.
Temperature patterns seen to be changing around the U.S. Winters seem shorter,
summers seem hotter, and major storms seem ...
We want to collect the Max. Temperature reading for each day in your home city or a city near you in February and August for a minimum of 3years.
Temperature patterns seen to be changing around the U.S. Winters seem shorter,
summers seem hotter, and major storms seem more frequent. Let’s collect some data and
look at what’s happening in your area. You can use the Weather Underground web page
at www.wunderground.com to collect historical data for a particular city. The Weather
Underground (www.wunderground.com) was created by a student/professor team at the
University of Michigan and shortly became a public company providing current and
historical weather data for the United States and other countries. At the top of the
Weather Underground home page you will find a box for entering the name of a city,
state or country. Enter your home city to see the current weather conditions there. Scroll
down and select the History & Almanac Table in which you can enter a date to see
statistics for any day from the past thirty years. Below the field where you enter a specific
date you can select Calender View and see all temperatures for a specific months.We want to collect the Max. Temperature reading for each day in your home city or a city
near you in February (for cold temperatures) and August (for hot temperatures) for a
minimum of 3years.
Review Correlation and Regression
Part A. SPSS AssignmentPart A has you really getting to know a set of data and allows you the opportunity to perform stati ...
Review Correlation and Regression
Part A. SPSS AssignmentPart A has you really getting to know a set of data and allows you the opportunity to perform statistical tests and then interpret the output. You will rely on all you have learned to this point and add correlation and regression strategies to your tool kit. Using the data set: Chamorro-Premuzic.sav you will focus on the variables related to Extroversion and Agreeableness (student and lecturer). Do the following:Exploratory Data Analysis.Perform Exploratory Data Analysis on all variables in the data set. Because you are going to focus on Extroversion and Agreeableness, be sure to include scatterplots for these combinations of variables (Student Agreeableness/Lecture Agreeableness; Student Extroversion/Lecture Extroversion; Student Agreeableness/Lecture Extroversion; Student Extroversion/Lecture Agreeableness) and include the regression line on the chart.Give a one to two paragraph write up of the data once you have done this.Create an APA style table that presents descriptive statistics for the sample.Make a decision about the missing data. How are you going to handle it and why?Correlation. Perform a correlational analysis on the following variables: Student Extroversion, Lecture Extroversion, Student Agreeableness, Lecture Agreeableness.Ensure you handle missing data as you decided above.State if you are using one or two-tailed test and why.Write up the results in APA style and interpret them.Regression. Calculate a regression that examines whether or not you can predict if a student wants a lecturer to be extroverted using the student’s extroversion score.Ensure you handle missing data as you decided above.State if you are using one or two-tailed test and why.Include diagnostics.Discuss assumptions; are they met?Write the results in APA style and interpret them.Do these results differ from the correlation results above?Multiple Regression. Calculate a multiple regression that examines whether age, gender, and student’s extroversion predict if a student wants the lecturer to be extroverted.Ensure you handle missing data as you decided above.State if you are using one or two-tailed test and why.Include diagnostics,Discuss assumptions; are they met?Write the results in APA style and interpret it.Do these results differ from the correlation results above?Part B. Applying Analytical Strategies to an Area of Research Interest. Briefly restate your research area of interest.Pearson Correlation. Identify two variables for which you could calculate a Pearson correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a Pearson correlation and came up with a significant positive or negative value. Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style (note the text does not use APA style) and interpret the statistic in terms of effect size and R2 while also taking into account the third variable problem and well as direction of causality.Spearman’s Correlation. Identify two variables for which you could calculate a Spearman’s correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a correlation and came up with a significant positive or negative value. Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style (note the text does not use APA style) and interpret the statistic in terms of effect size and R2 while also taking into account the third variable problem and well as direction of causality.Partial Correlation vs. Semi-Partial Correlation. Identify three variables for which you may be interested calculating either a partial or semi-partial correlation coefficient. Compare/contrast these two types of analyses using your variables and research example. Which would you use and why?Simple Regression. Identify two variables for which you could calculate a simple regression. Describe the variables and their scale of measurement. Which variable would you include as the predictor variable and which as the outcome variable? Why? What would R2 tell you about the relationship between the two variables?Multiple Regression. Identify at least 3 variables for which you could calculate a multiple regression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variables and which as the outcome variable? Why? Which regression method would you use and why? What would R2 and adjusted R2 tell you about the relationship between the variables?Logistic Regression. Identify at least 3 variables for which you could calculate a logistic regression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variables and which as the outcome variable? Why? Which regression method would you use and why? What would the output tell you about the relationship between the variables?
R Studio, SWOT analysis, data modeling, risk matrix, risk identification Linear Regression, Logistic Regression, Discriminant Analysis, Time Series, Expected Payoff, or Decision Trees
Assignment InstructionsScenario:
Identify a business that is of interest to you. It can be real or fictitious,
but it sh ...
R Studio, SWOT analysis, data modeling, risk matrix, risk identification Linear Regression, Logistic Regression, Discriminant Analysis, Time Series, Expected Payoff, or Decision Trees
Assignment InstructionsScenario:
Identify a business that is of interest to you. It can be real or fictitious,
but it should be a realistic business. Think of one specific risk that your
chosen business could face, and consider how and where you will get data that
can be analyzed to address that risk. Complete
the following steps: 1.
Create a Word document to contain all components of your Unit 6 Assignment. Add
a title page and table of contents. 2.
Write an introduction to your chosen topic. Describe the business that you have
chosen, identify the risk you selected, and briefly describe how you expect
analytics to help you address that risk. Label this section Introduction. 3.
Perform a SWOT analysis for your business. Ensure that you have at least one
element with a description in each of the four quadrants of a SWOT table. Label
this section SWOT Analysis. 4.
Identify which quadrant of a risk matrix your selected risk would fall into
(High Probability/High Impact; High Probability/Low Impact; Low
Probability/High Impact; or Low Probability/Low Impact. Provide a rationale
explaining why you have classified your chosen risk in the way you did. Label
this section Risk Classification. 5.
Obtain or create a data set that you can use to address your risk. You can use
built in data sets in R, data sets from the Internet, or data sets from a
company with appropriate permission. It is acceptable to create your own data
set if you wish. Keep in mind that you will need to use one of the risk
analytics techniques you have learned in this class, so the data you use and
the outcome your produce must be aligned with a valid technique: Linear
Regression, Logistic Regression, Discriminant Analysis, Time Series, Expected
Payoff, or Decision Trees. Make a screen capture of a representative sample of
your data. Place it in your document and label this section Data. 6.
Create a model for your data that will allow you to address your selected risk.
This will most probably be in R, but if you select Expected Payoff as your
technique, it will be in Excel. Note that you are not permitted to simply
re-package one of the Assignments that you did earlier in this class. Your work
must be novel, even though you are using analytic techniques that generally
always stay the same. In your Word document, provide evidence by way of labeled
screen captures and written descriptions of your model building. Label this
section Modeling. 7.
If your chosen technique is anything other than Time Series or Expected Payoff,
apply your model to make predictions for a representative data set to
illustrate how your chosen business would actually use your risk analytics
model. If you selected Time Series or Expected Payoff, document your findings
for your audience. In your Word document, provide evidence by way of labeled
screen captures and written descriptions of your model application/outcomes.
Label this section Outcomes. 8.
Write a conclusion that summarizes what you did to assess and analyze risk
using data. Discuss legal and/or ethical considerations that your chosen
business must consider and address in using your risk analytics approach. Label
this section Conclusion. 9.
Include a References page that cites all sources used to complete your Unit 6
Assignment. The list of references must include no fewer than five
authoritative and relevant sources beyond the class textbook and sources of
data. Ensure that all of your cited sources are referred to parenthetically
throughout the body of your paper where relevant, and then in APA format on the
References page. Assignment
Requirements Prepare
your Assignment submission in Microsoft Word following standard APA formatting
guidelines: Double spaced, Times New Roman 12-point font, one inch margins on
all sides. Include a title page, table of contents and references page. You do
not need to write an abstract. Label all tables and figures. Cite sources
appropriately both in the text of your writing (parenthetical citations) and on
your references page (full APA citation format). The assignment rubric is attached.
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Most Popular Content
7 pages
Assignment Statistical Thinking In Healthcare.edited
From the above process map, there are two key problems that the HMO Pharmacy might be experiencing. Firstly, the pharmacy ...
Assignment Statistical Thinking In Healthcare.edited
From the above process map, there are two key problems that the HMO Pharmacy might be experiencing. Firstly, the pharmacy may be processing inaccurate ...
Langston University Importance of Knowledge of Statistics in Psychology Presentation
For your Signature Assignment, you will create a PowerPoint presentation suitable to use for a lecture in an introductory ...
Langston University Importance of Knowledge of Statistics in Psychology Presentation
For your Signature Assignment, you will create a PowerPoint presentation suitable to use for a lecture in an introductory statistics class. You should include the following in your presentation:
A description of why knowledge of statistics is important in careers in psychology as well as in everyday life.
A description of the difference between descriptive and inferential statistics.
A description of the inferential tests discussed during this class. You should discuss the types of data that are appropriate for each test (i.e., nominal, ordinal, interval, or ratio). You should create a specific research example that would yield data appropriate for each of the tests that you mention. You should describe each of the variables involved in your research question and how that variable will be measured.
A discussion of any ethical concerns that need to be considered for each of the research examples.
At least one graph demonstrating how the results of the statistical test should be presented.
Incorporate speaker notes, appropriate animations, transitions, and graphics as well as speaker notes for each slide. The speaker notes may be comprised of brief paragraphs or bulleted lists.
Support your presentation with at least three scholarly resources. In addition to these specified resources, other appropriate scholarly resources may be included.
We want to collect the Max. Temperature reading for each day in your home city or a city near you in February and August for a minimum of 3years.
Temperature patterns seen to be changing around the U.S. Winters seem shorter,
summers seem hotter, and major storms seem ...
We want to collect the Max. Temperature reading for each day in your home city or a city near you in February and August for a minimum of 3years.
Temperature patterns seen to be changing around the U.S. Winters seem shorter,
summers seem hotter, and major storms seem more frequent. Let’s collect some data and
look at what’s happening in your area. You can use the Weather Underground web page
at www.wunderground.com to collect historical data for a particular city. The Weather
Underground (www.wunderground.com) was created by a student/professor team at the
University of Michigan and shortly became a public company providing current and
historical weather data for the United States and other countries. At the top of the
Weather Underground home page you will find a box for entering the name of a city,
state or country. Enter your home city to see the current weather conditions there. Scroll
down and select the History & Almanac Table in which you can enter a date to see
statistics for any day from the past thirty years. Below the field where you enter a specific
date you can select Calender View and see all temperatures for a specific months.We want to collect the Max. Temperature reading for each day in your home city or a city
near you in February (for cold temperatures) and August (for hot temperatures) for a
minimum of 3years.
Review Correlation and Regression
Part A. SPSS AssignmentPart A has you really getting to know a set of data and allows you the opportunity to perform stati ...
Review Correlation and Regression
Part A. SPSS AssignmentPart A has you really getting to know a set of data and allows you the opportunity to perform statistical tests and then interpret the output. You will rely on all you have learned to this point and add correlation and regression strategies to your tool kit. Using the data set: Chamorro-Premuzic.sav you will focus on the variables related to Extroversion and Agreeableness (student and lecturer). Do the following:Exploratory Data Analysis.Perform Exploratory Data Analysis on all variables in the data set. Because you are going to focus on Extroversion and Agreeableness, be sure to include scatterplots for these combinations of variables (Student Agreeableness/Lecture Agreeableness; Student Extroversion/Lecture Extroversion; Student Agreeableness/Lecture Extroversion; Student Extroversion/Lecture Agreeableness) and include the regression line on the chart.Give a one to two paragraph write up of the data once you have done this.Create an APA style table that presents descriptive statistics for the sample.Make a decision about the missing data. How are you going to handle it and why?Correlation. Perform a correlational analysis on the following variables: Student Extroversion, Lecture Extroversion, Student Agreeableness, Lecture Agreeableness.Ensure you handle missing data as you decided above.State if you are using one or two-tailed test and why.Write up the results in APA style and interpret them.Regression. Calculate a regression that examines whether or not you can predict if a student wants a lecturer to be extroverted using the student’s extroversion score.Ensure you handle missing data as you decided above.State if you are using one or two-tailed test and why.Include diagnostics.Discuss assumptions; are they met?Write the results in APA style and interpret them.Do these results differ from the correlation results above?Multiple Regression. Calculate a multiple regression that examines whether age, gender, and student’s extroversion predict if a student wants the lecturer to be extroverted.Ensure you handle missing data as you decided above.State if you are using one or two-tailed test and why.Include diagnostics,Discuss assumptions; are they met?Write the results in APA style and interpret it.Do these results differ from the correlation results above?Part B. Applying Analytical Strategies to an Area of Research Interest. Briefly restate your research area of interest.Pearson Correlation. Identify two variables for which you could calculate a Pearson correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a Pearson correlation and came up with a significant positive or negative value. Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style (note the text does not use APA style) and interpret the statistic in terms of effect size and R2 while also taking into account the third variable problem and well as direction of causality.Spearman’s Correlation. Identify two variables for which you could calculate a Spearman’s correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a correlation and came up with a significant positive or negative value. Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style (note the text does not use APA style) and interpret the statistic in terms of effect size and R2 while also taking into account the third variable problem and well as direction of causality.Partial Correlation vs. Semi-Partial Correlation. Identify three variables for which you may be interested calculating either a partial or semi-partial correlation coefficient. Compare/contrast these two types of analyses using your variables and research example. Which would you use and why?Simple Regression. Identify two variables for which you could calculate a simple regression. Describe the variables and their scale of measurement. Which variable would you include as the predictor variable and which as the outcome variable? Why? What would R2 tell you about the relationship between the two variables?Multiple Regression. Identify at least 3 variables for which you could calculate a multiple regression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variables and which as the outcome variable? Why? Which regression method would you use and why? What would R2 and adjusted R2 tell you about the relationship between the variables?Logistic Regression. Identify at least 3 variables for which you could calculate a logistic regression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variables and which as the outcome variable? Why? Which regression method would you use and why? What would the output tell you about the relationship between the variables?
R Studio, SWOT analysis, data modeling, risk matrix, risk identification Linear Regression, Logistic Regression, Discriminant Analysis, Time Series, Expected Payoff, or Decision Trees
Assignment InstructionsScenario:
Identify a business that is of interest to you. It can be real or fictitious,
but it sh ...
R Studio, SWOT analysis, data modeling, risk matrix, risk identification Linear Regression, Logistic Regression, Discriminant Analysis, Time Series, Expected Payoff, or Decision Trees
Assignment InstructionsScenario:
Identify a business that is of interest to you. It can be real or fictitious,
but it should be a realistic business. Think of one specific risk that your
chosen business could face, and consider how and where you will get data that
can be analyzed to address that risk. Complete
the following steps: 1.
Create a Word document to contain all components of your Unit 6 Assignment. Add
a title page and table of contents. 2.
Write an introduction to your chosen topic. Describe the business that you have
chosen, identify the risk you selected, and briefly describe how you expect
analytics to help you address that risk. Label this section Introduction. 3.
Perform a SWOT analysis for your business. Ensure that you have at least one
element with a description in each of the four quadrants of a SWOT table. Label
this section SWOT Analysis. 4.
Identify which quadrant of a risk matrix your selected risk would fall into
(High Probability/High Impact; High Probability/Low Impact; Low
Probability/High Impact; or Low Probability/Low Impact. Provide a rationale
explaining why you have classified your chosen risk in the way you did. Label
this section Risk Classification. 5.
Obtain or create a data set that you can use to address your risk. You can use
built in data sets in R, data sets from the Internet, or data sets from a
company with appropriate permission. It is acceptable to create your own data
set if you wish. Keep in mind that you will need to use one of the risk
analytics techniques you have learned in this class, so the data you use and
the outcome your produce must be aligned with a valid technique: Linear
Regression, Logistic Regression, Discriminant Analysis, Time Series, Expected
Payoff, or Decision Trees. Make a screen capture of a representative sample of
your data. Place it in your document and label this section Data. 6.
Create a model for your data that will allow you to address your selected risk.
This will most probably be in R, but if you select Expected Payoff as your
technique, it will be in Excel. Note that you are not permitted to simply
re-package one of the Assignments that you did earlier in this class. Your work
must be novel, even though you are using analytic techniques that generally
always stay the same. In your Word document, provide evidence by way of labeled
screen captures and written descriptions of your model building. Label this
section Modeling. 7.
If your chosen technique is anything other than Time Series or Expected Payoff,
apply your model to make predictions for a representative data set to
illustrate how your chosen business would actually use your risk analytics
model. If you selected Time Series or Expected Payoff, document your findings
for your audience. In your Word document, provide evidence by way of labeled
screen captures and written descriptions of your model application/outcomes.
Label this section Outcomes. 8.
Write a conclusion that summarizes what you did to assess and analyze risk
using data. Discuss legal and/or ethical considerations that your chosen
business must consider and address in using your risk analytics approach. Label
this section Conclusion. 9.
Include a References page that cites all sources used to complete your Unit 6
Assignment. The list of references must include no fewer than five
authoritative and relevant sources beyond the class textbook and sources of
data. Ensure that all of your cited sources are referred to parenthetically
throughout the body of your paper where relevant, and then in APA format on the
References page. Assignment
Requirements Prepare
your Assignment submission in Microsoft Word following standard APA formatting
guidelines: Double spaced, Times New Roman 12-point font, one inch margins on
all sides. Include a title page, table of contents and references page. You do
not need to write an abstract. Label all tables and figures. Cite sources
appropriately both in the text of your writing (parenthetical citations) and on
your references page (full APA citation format). The assignment rubric is attached.
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