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2,591/19= 136.3684210526= 136.4 D
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Statistics Descriptive Analysis
Test and CI for One Proportion: Best Exchange/ Return Since the P-value for the hypothesis test is 0.000 < 0.05, we can re ...
Statistics Descriptive Analysis
Test and CI for One Proportion: Best Exchange/ Return Since the P-value for the hypothesis test is 0.000 < 0.05, we can reject the null hypothesis and
University of the Cumberlands Differences In Weight Loss Discussion
Please make sure that you copy and paste your output to show your work. You also must write a conclusion reporting your s ...
University of the Cumberlands Differences In Weight Loss Discussion
Please make sure that you copy and paste your output to show your work. You also must write a conclusion reporting your statistics in APA format.Please go through the uploaded document and CSV file work through the question and show your work and finally write the conclusion around 100 words at the end.Was there a difference in weight loss among the three diets? If so, which diet was the best for losing weight?
University of Phoenix Personal Life Use of Equation for Weekly Expenses Discussion
Due Thursday Respond to the following in a minimum of 175 words: This week we examine how to solve for an unknown quantity ...
University of Phoenix Personal Life Use of Equation for Weekly Expenses Discussion
Due Thursday Respond to the following in a minimum of 175 words: This week we examine how to solve for an unknown quantity. Some situations may be easily modeled by single variable equations and others might be more difficult. Reflect on your professional or personal world. What is an example of a situation that you might be able to use an equation with a single unknown to help understand? What is an example of a situation that you might not be able to use an equation with a single unknown to understand? What makes an equation with a single unknown helpful in one of your examples but not the other? What patterns exist in your two examples that might be helpful in determining when to use a simple equation?
Purdue Global University Unit 5 Statistical Reasoning Questions
In Unit 5, there are three main topics (problem types): describing correlations, measuring correlations (with the r value) ...
Purdue Global University Unit 5 Statistical Reasoning Questions
In Unit 5, there are three main topics (problem types): describing correlations, measuring correlations (with the r value), and creating and evaluating scatterplots. You will be exposed to all three topics, and will have the opportunity to discuss and compare these topics with your fellow learners.Using any Excel dataset, choose two quantitative variables from the dataset. For example, you might choose “age” and “weight.” Next, do the following:What is the name of the dataset you have chosen? What are the names of the two quantitative variables you are investigating?Using Excel, calculate the relationship (correlation) between these two variables. Write down your calculated r value.Given the r value you calculated in number 1 above, explain what the r value tells you about the relationship between the two variables. For example, is the relationship positive or negative? Is the relationship strong, medium, or weak?Using the two variables you have chosen, create and attach to your post a scatterplot. Does the scatterplot have a linear appearance? What does the scatterplot tell you about the relationship between your two variables?Please create personalized and substantive responses to at least two other student main posts. In your response, include the following:Choose any two classmates and review their main posts.Find the dataset that each student used, and repeat their r value calculation in Excel for the variables they chose. Are they correct? Do you agree with how they described the relationship between the two variables? Explain in one paragraph and include both your results and the student results.For the same two classmates, also review their scatterplots. Discuss the “shape” of the scatterplot - is it mostly linear or is it all scattered around? Does the scatterplot seem to have a positive (upwards from left to right) or negative slope? Does their scatterplot visually match what the r value is suggesting? What can you say about the relationship based on the scatterplot?Discussion RequirementsReading and ResourcesRead the assigned chapters from the following textbooks:Bennett, J., Briggs, W.L. & Triola, M.F. (2013) Statistical Reasoning for Everyday Life (4th ed.). Upper Saddle, NJ: Pearson.Chapter 7: “Correlation and Causality”Reading the textbook and reviewing the textbook examples are excellent methods for starting each unit. Reading the textbook offers context and explanations for new concepts and methods. Completing the textbook examples on paper (and with Excel) is a great way to practice and learn the new methods and concepts introduced. Student feedback has suggested that reading the textbook and practicing the textbook examples has been particularly helpful if completed before the unit Seminar. Some students have reported that keeping a notebook handy, and recording new definitions or concepts encountered while reading is helpful, more organized, and stress reducing.This chapter includes a section that offers examples using technologies such as Excel. In addition, at the end of each chapter section, or at the end of the chapter, are review exercises that are very helpful for practicing and preparing.In this course, students may use Excel for any statistical calculations. Excel can be used to evaluate data in many ways. Excel can be used to calculate numerical measures, such as measures of center (such as mean and median) and measures of variation (variance, standard deviation, and range), as well as many other measures such as min, max, and correlation (r-value). Excel can also be used to create visualizations, such as histograms, bar graphs, pie graphs, scatterplots, and others. Excel may also be used to create linear regression equations. Because Excel is a very common tool, the Internet and YouTube both contain considerable support resources and tutorials. TEXTBOOKSBennett, J., Briggs, W., Triola, M. (2014) Statistical Reasoning: For Everyday Life.(4th ed)
Rasmussen University Inferential Statistics and Analytics Worksheet
InstructionsScenario (Information repeated for deliverable 01, 03, and 04)A major client of your company is interested in ...
Rasmussen University Inferential Statistics and Analytics Worksheet
InstructionsScenario (Information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary
distributions of jobs in the state of Minnesota that range from $30,000
to $200,000 per year. As a Business Analyst, your boss asks you to
research and analyze the salary distributions. You are given a spreadsheet that contains the following information:
A listing of the jobs by title
The salary (in dollars) for each job
In prior engagements, you have already explained to your client about
the basic statistics and discussed the importance of constructing
confidence intervals for the population mean. Your client says that he
remembers a little bit about hypothesis testing, but he is a little
fuzzy. He asks you to give him the full explanation of all steps in a
hypothesis testing and wants your conclusion about a claim that the
average salary for all jobs in the state of Minnesota is less than
$75,000.Background information on the DataThe data set in the spreadsheet consists of 364 records that you
will be analyzing from the Bureau of Labor Statistics. The data set
contains a listing of several jobs titles with yearly salaries ranging
from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed
calculations. Your research and analysis should be present within the
answers provided on the worksheet.
MTH 156 CSU Brazil Population Growth Rate Statistical Analysis
Option #2: World Populations
There are 195 sovereign countries in the world today that are
officially recognized. One ...
MTH 156 CSU Brazil Population Growth Rate Statistical Analysis
Option #2: World Populations
There are 195 sovereign countries in the world today that are
officially recognized. One can choose to look at many types of data
coming from these countries, as there is a plethora of existing
information. For this assignment, you will be looking at populations of
cities within Italy at four different points in time (depending on when a
census was taken). The data for these cities can be found in the file
named Populations. Use all of the data points for each of the years given, but note that not every city has a population for each census.Prepare a report (see below) using the numerical methods of
descriptive statistics presented in this module to show how the
populations of the cities vary over the years (growth rates). Be sure to
include the following three (3) items in your report:
Compute descriptive statistics for each of the years along with an
explanation of what the descriptive statistics tell us about the
different years. Are the cities continually growing or is there a
decrease in the number of people? The descriptive statistics will
include the mean, mode, range, standard deviation, and the five-number
summary (minimum, first quartile (Q1), median (Q2), third quartile (Q3),
and maximum).
Determine which cities, if any, should be considered outliers in
each of the years. If there are any outliers in any year, list them and
state for which year each one is an outlier. Use the z-score method to
determine outliers for this question showing the z-score calculations
for each city and year in your spreadsheet.
Determine the correlation coefficient between the first year and
each of the other years. Provide an explanation of these relationships.
Show your calculations for each correlation coefficient within the
spreadsheet.
Requirements:
Your paper should be 2-3 pages in length (not counting the title
page and references page) and cite and integrate at least one credible
outside source. The CSU Global Library is a great place to find
resources. Your textbook is a credible resource.
Include a title page, introduction, body, conclusion, and a reference page.
The introduction should describe or summarize the topic or problem.
It might discuss the general applications of the topic or it might
introduce the unique terminology associated with the topic.
The body of your paper should address the questions posed in the
problem. Explain how you approached and answered the question or solved
the problem, and, for each question, show all steps involved. Be sure
this is in paragraph format, not numbered answers like a homework
assignment.
The conclusion should summarize your thoughts about what you have
determined from your analysis in completing the assignment. Nothing new
should be introduced in the conclusion that was not previously discussed
in the body paragraphs.
Include any tables of data or calculations, calculated values,
and/or graphs referenced in the paper. (Note: The minimum required
length excludes any tables or graphs.)
Document formatting, citations, and style should conform to the CSU Global Guide to Writing and APA Requirements (Links to an external site.). A short summary containing much that you need to know about paper formatting, citations, and references is contained in the Template Paper (Links to an external site.). In addition, information in the CSU Global Writing Center (Links to an external site.) has many helpful areas (Writing Tips, Template & Examples/Papers & Essays, Figures and Tables, and others).
NOTE: You MUST submit your Excel file with your report. This will
allow you to qualify for consideration for partial credit if any errors
are found in your report.
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Most Popular Content
5 pages
Statistics Descriptive Analysis
Test and CI for One Proportion: Best Exchange/ Return Since the P-value for the hypothesis test is 0.000 < 0.05, we can re ...
Statistics Descriptive Analysis
Test and CI for One Proportion: Best Exchange/ Return Since the P-value for the hypothesis test is 0.000 < 0.05, we can reject the null hypothesis and
University of the Cumberlands Differences In Weight Loss Discussion
Please make sure that you copy and paste your output to show your work. You also must write a conclusion reporting your s ...
University of the Cumberlands Differences In Weight Loss Discussion
Please make sure that you copy and paste your output to show your work. You also must write a conclusion reporting your statistics in APA format.Please go through the uploaded document and CSV file work through the question and show your work and finally write the conclusion around 100 words at the end.Was there a difference in weight loss among the three diets? If so, which diet was the best for losing weight?
University of Phoenix Personal Life Use of Equation for Weekly Expenses Discussion
Due Thursday Respond to the following in a minimum of 175 words: This week we examine how to solve for an unknown quantity ...
University of Phoenix Personal Life Use of Equation for Weekly Expenses Discussion
Due Thursday Respond to the following in a minimum of 175 words: This week we examine how to solve for an unknown quantity. Some situations may be easily modeled by single variable equations and others might be more difficult. Reflect on your professional or personal world. What is an example of a situation that you might be able to use an equation with a single unknown to help understand? What is an example of a situation that you might not be able to use an equation with a single unknown to understand? What makes an equation with a single unknown helpful in one of your examples but not the other? What patterns exist in your two examples that might be helpful in determining when to use a simple equation?
Purdue Global University Unit 5 Statistical Reasoning Questions
In Unit 5, there are three main topics (problem types): describing correlations, measuring correlations (with the r value) ...
Purdue Global University Unit 5 Statistical Reasoning Questions
In Unit 5, there are three main topics (problem types): describing correlations, measuring correlations (with the r value), and creating and evaluating scatterplots. You will be exposed to all three topics, and will have the opportunity to discuss and compare these topics with your fellow learners.Using any Excel dataset, choose two quantitative variables from the dataset. For example, you might choose “age” and “weight.” Next, do the following:What is the name of the dataset you have chosen? What are the names of the two quantitative variables you are investigating?Using Excel, calculate the relationship (correlation) between these two variables. Write down your calculated r value.Given the r value you calculated in number 1 above, explain what the r value tells you about the relationship between the two variables. For example, is the relationship positive or negative? Is the relationship strong, medium, or weak?Using the two variables you have chosen, create and attach to your post a scatterplot. Does the scatterplot have a linear appearance? What does the scatterplot tell you about the relationship between your two variables?Please create personalized and substantive responses to at least two other student main posts. In your response, include the following:Choose any two classmates and review their main posts.Find the dataset that each student used, and repeat their r value calculation in Excel for the variables they chose. Are they correct? Do you agree with how they described the relationship between the two variables? Explain in one paragraph and include both your results and the student results.For the same two classmates, also review their scatterplots. Discuss the “shape” of the scatterplot - is it mostly linear or is it all scattered around? Does the scatterplot seem to have a positive (upwards from left to right) or negative slope? Does their scatterplot visually match what the r value is suggesting? What can you say about the relationship based on the scatterplot?Discussion RequirementsReading and ResourcesRead the assigned chapters from the following textbooks:Bennett, J., Briggs, W.L. & Triola, M.F. (2013) Statistical Reasoning for Everyday Life (4th ed.). Upper Saddle, NJ: Pearson.Chapter 7: “Correlation and Causality”Reading the textbook and reviewing the textbook examples are excellent methods for starting each unit. Reading the textbook offers context and explanations for new concepts and methods. Completing the textbook examples on paper (and with Excel) is a great way to practice and learn the new methods and concepts introduced. Student feedback has suggested that reading the textbook and practicing the textbook examples has been particularly helpful if completed before the unit Seminar. Some students have reported that keeping a notebook handy, and recording new definitions or concepts encountered while reading is helpful, more organized, and stress reducing.This chapter includes a section that offers examples using technologies such as Excel. In addition, at the end of each chapter section, or at the end of the chapter, are review exercises that are very helpful for practicing and preparing.In this course, students may use Excel for any statistical calculations. Excel can be used to evaluate data in many ways. Excel can be used to calculate numerical measures, such as measures of center (such as mean and median) and measures of variation (variance, standard deviation, and range), as well as many other measures such as min, max, and correlation (r-value). Excel can also be used to create visualizations, such as histograms, bar graphs, pie graphs, scatterplots, and others. Excel may also be used to create linear regression equations. Because Excel is a very common tool, the Internet and YouTube both contain considerable support resources and tutorials. TEXTBOOKSBennett, J., Briggs, W., Triola, M. (2014) Statistical Reasoning: For Everyday Life.(4th ed)
Rasmussen University Inferential Statistics and Analytics Worksheet
InstructionsScenario (Information repeated for deliverable 01, 03, and 04)A major client of your company is interested in ...
Rasmussen University Inferential Statistics and Analytics Worksheet
InstructionsScenario (Information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary
distributions of jobs in the state of Minnesota that range from $30,000
to $200,000 per year. As a Business Analyst, your boss asks you to
research and analyze the salary distributions. You are given a spreadsheet that contains the following information:
A listing of the jobs by title
The salary (in dollars) for each job
In prior engagements, you have already explained to your client about
the basic statistics and discussed the importance of constructing
confidence intervals for the population mean. Your client says that he
remembers a little bit about hypothesis testing, but he is a little
fuzzy. He asks you to give him the full explanation of all steps in a
hypothesis testing and wants your conclusion about a claim that the
average salary for all jobs in the state of Minnesota is less than
$75,000.Background information on the DataThe data set in the spreadsheet consists of 364 records that you
will be analyzing from the Bureau of Labor Statistics. The data set
contains a listing of several jobs titles with yearly salaries ranging
from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed
calculations. Your research and analysis should be present within the
answers provided on the worksheet.
MTH 156 CSU Brazil Population Growth Rate Statistical Analysis
Option #2: World Populations
There are 195 sovereign countries in the world today that are
officially recognized. One ...
MTH 156 CSU Brazil Population Growth Rate Statistical Analysis
Option #2: World Populations
There are 195 sovereign countries in the world today that are
officially recognized. One can choose to look at many types of data
coming from these countries, as there is a plethora of existing
information. For this assignment, you will be looking at populations of
cities within Italy at four different points in time (depending on when a
census was taken). The data for these cities can be found in the file
named Populations. Use all of the data points for each of the years given, but note that not every city has a population for each census.Prepare a report (see below) using the numerical methods of
descriptive statistics presented in this module to show how the
populations of the cities vary over the years (growth rates). Be sure to
include the following three (3) items in your report:
Compute descriptive statistics for each of the years along with an
explanation of what the descriptive statistics tell us about the
different years. Are the cities continually growing or is there a
decrease in the number of people? The descriptive statistics will
include the mean, mode, range, standard deviation, and the five-number
summary (minimum, first quartile (Q1), median (Q2), third quartile (Q3),
and maximum).
Determine which cities, if any, should be considered outliers in
each of the years. If there are any outliers in any year, list them and
state for which year each one is an outlier. Use the z-score method to
determine outliers for this question showing the z-score calculations
for each city and year in your spreadsheet.
Determine the correlation coefficient between the first year and
each of the other years. Provide an explanation of these relationships.
Show your calculations for each correlation coefficient within the
spreadsheet.
Requirements:
Your paper should be 2-3 pages in length (not counting the title
page and references page) and cite and integrate at least one credible
outside source. The CSU Global Library is a great place to find
resources. Your textbook is a credible resource.
Include a title page, introduction, body, conclusion, and a reference page.
The introduction should describe or summarize the topic or problem.
It might discuss the general applications of the topic or it might
introduce the unique terminology associated with the topic.
The body of your paper should address the questions posed in the
problem. Explain how you approached and answered the question or solved
the problem, and, for each question, show all steps involved. Be sure
this is in paragraph format, not numbered answers like a homework
assignment.
The conclusion should summarize your thoughts about what you have
determined from your analysis in completing the assignment. Nothing new
should be introduced in the conclusion that was not previously discussed
in the body paragraphs.
Include any tables of data or calculations, calculated values,
and/or graphs referenced in the paper. (Note: The minimum required
length excludes any tables or graphs.)
Document formatting, citations, and style should conform to the CSU Global Guide to Writing and APA Requirements (Links to an external site.). A short summary containing much that you need to know about paper formatting, citations, and references is contained in the Template Paper (Links to an external site.). In addition, information in the CSU Global Writing Center (Links to an external site.) has many helpful areas (Writing Tips, Template & Examples/Papers & Essays, Figures and Tables, and others).
NOTE: You MUST submit your Excel file with your report. This will
allow you to qualify for consideration for partial credit if any errors
are found in your report.
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