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How can i draw an odd function with a leading coefficient that is negative and a degree great than 3?
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One hundred sixty people were surveyed and asked if they believed in UFOs, ghosts, and Bigfoot. 42 believed in ...
Math Reason
One hundred sixty people were surveyed and asked if they believed in UFOs, ghosts, and Bigfoot. 42 believed in UFOs 45 believed in ghosts 21 believed in Bigfoot 11 believed in UFOs and ghosts 6 believed in ghosts and Bigfoot 4 believed in UFOs and Bigfoot 2 believed in all three How many people surveyed believed in at least one of these things?Show your work by creating and sharing a appropriate Venn diagram.You can use the following free web tool accessed at http://www.classtools.net/education-games-php/venn_intro to create your Venn diagram and simply copy and paste the URL in your post by using the "Insert Quicklink" button:
Deliverable Tutoring on the Normal Distribution Worksheet
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Deliverable Tutoring on the Normal Distribution Worksheet
Demonstrate the use of the normal distribution, the standard normal distribution, and the central limit theorem for calculating areas under the normal curve and exploring these concepts in real life applications.ScenarioFrank has only had a brief introduction to statistics when he was in high school 12 years ago, and that did not cover inferential statistics. He is not confident in his ability to answer some of the problems posed in the course.As Frank's tutor, you need to provide Frank with guidance and instruction on a worksheet he has partially filled out. Your job is to help him understand and comprehend the material. You should not simply be providing him with an answer as this will not help when it comes time to take the test. Instead, you will be providing a step-by-step breakdown of the problems including an explanation on why you did each step and using proper terminology.What to SubmitTo complete this assignment, you must first download the word document, (attached) and then complete it by including the following items on the worksheet:Incorrect AnswersCorrect any wrong answers. You must also explain the error performed in the problem in your own words.Partially Finished WorkComplete any partially completed work. Make sure to provide step-by-step instructions including explanations.Blank QuestionsShow how to complete any blank questions by providing step-by-step instructions including explanations.Your step-by-step breakdown of the problems, including explanations, should be present within the word document provided. You must also include an Excel workbook (not attached, you will have to create it) which shows all your calculations performed.YOU MUST MEET THE REQUIREMENTS BELOW: All problems are solved correctly. Complete and detailed steps are provided to explain how to solve the problem. Explanations demonstrate a mastery of understanding of the statistical concepts and terminology. All variables, equations, and expressions are properly formatted.
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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)
One-Sample Hypothesis Testing Cases, health and medicine homework help
The purpose of this assignment is to develop students' abilities to combine the knowledge of descriptive statistics covere ...
One-Sample Hypothesis Testing Cases, health and medicine homework help
The purpose of this assignment is to develop students' abilities to combine the knowledge of descriptive statistics covered in Weeks 1 and 2 and one-sample hypothesis testing to make managerial decisions. In this assignment, students will learn how statistical analysis is used in predicting an election winner in the first case. In the second case, students will conduct a hypothesis test to decide whether or not a shipping plan will be profitable. Assignment Steps Resources: Microsoft Excel®, Case Study Scenarios, SpeedX Payment Times Develop a 700- to 1,050-word statistical analysis based on the Case Study Scenarios and SpeedX Payment Times. Include answers to the following: Case 1: Election Results Use 0.10 as the significance level (α).Conduct a one-sample hypothesis test to determine if the networks should announce at 8:01 P.M. the Republican candidate George W. Bush will win the state. Case 2: SpeedXUse 0.10 and the significance level (α).Conduct a one-sample hypothesis test and determine if you can convince the CFO to conclude the plan will be profitable. Format your assignment consistent with APA format
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Most Popular Content
Math Reason
One hundred sixty people were surveyed and asked if they believed in UFOs, ghosts, and Bigfoot. 42 believed in ...
Math Reason
One hundred sixty people were surveyed and asked if they believed in UFOs, ghosts, and Bigfoot. 42 believed in UFOs 45 believed in ghosts 21 believed in Bigfoot 11 believed in UFOs and ghosts 6 believed in ghosts and Bigfoot 4 believed in UFOs and Bigfoot 2 believed in all three How many people surveyed believed in at least one of these things?Show your work by creating and sharing a appropriate Venn diagram.You can use the following free web tool accessed at http://www.classtools.net/education-games-php/venn_intro to create your Venn diagram and simply copy and paste the URL in your post by using the "Insert Quicklink" button:
Deliverable Tutoring on the Normal Distribution Worksheet
Demonstrate the use of the normal distribution, the standard normal distribution, and the central limit theorem for calcul ...
Deliverable Tutoring on the Normal Distribution Worksheet
Demonstrate the use of the normal distribution, the standard normal distribution, and the central limit theorem for calculating areas under the normal curve and exploring these concepts in real life applications.ScenarioFrank has only had a brief introduction to statistics when he was in high school 12 years ago, and that did not cover inferential statistics. He is not confident in his ability to answer some of the problems posed in the course.As Frank's tutor, you need to provide Frank with guidance and instruction on a worksheet he has partially filled out. Your job is to help him understand and comprehend the material. You should not simply be providing him with an answer as this will not help when it comes time to take the test. Instead, you will be providing a step-by-step breakdown of the problems including an explanation on why you did each step and using proper terminology.What to SubmitTo complete this assignment, you must first download the word document, (attached) and then complete it by including the following items on the worksheet:Incorrect AnswersCorrect any wrong answers. You must also explain the error performed in the problem in your own words.Partially Finished WorkComplete any partially completed work. Make sure to provide step-by-step instructions including explanations.Blank QuestionsShow how to complete any blank questions by providing step-by-step instructions including explanations.Your step-by-step breakdown of the problems, including explanations, should be present within the word document provided. You must also include an Excel workbook (not attached, you will have to create it) which shows all your calculations performed.YOU MUST MEET THE REQUIREMENTS BELOW: All problems are solved correctly. Complete and detailed steps are provided to explain how to solve the problem. Explanations demonstrate a mastery of understanding of the statistical concepts and terminology. All variables, equations, and expressions are properly formatted.
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Docx Wwrs
A project conducted by the Australian Federal Office of Road Safety asked people many questions about their cars. One ques ...
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A project conducted by the Australian Federal Office of Road Safety asked people many questions about their cars. One question was the reason that a ...
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)
One-Sample Hypothesis Testing Cases, health and medicine homework help
The purpose of this assignment is to develop students' abilities to combine the knowledge of descriptive statistics covere ...
One-Sample Hypothesis Testing Cases, health and medicine homework help
The purpose of this assignment is to develop students' abilities to combine the knowledge of descriptive statistics covered in Weeks 1 and 2 and one-sample hypothesis testing to make managerial decisions. In this assignment, students will learn how statistical analysis is used in predicting an election winner in the first case. In the second case, students will conduct a hypothesis test to decide whether or not a shipping plan will be profitable. Assignment Steps Resources: Microsoft Excel®, Case Study Scenarios, SpeedX Payment Times Develop a 700- to 1,050-word statistical analysis based on the Case Study Scenarios and SpeedX Payment Times. Include answers to the following: Case 1: Election Results Use 0.10 as the significance level (α).Conduct a one-sample hypothesis test to determine if the networks should announce at 8:01 P.M. the Republican candidate George W. Bush will win the state. Case 2: SpeedXUse 0.10 and the significance level (α).Conduct a one-sample hypothesis test and determine if you can convince the CFO to conclude the plan will be profitable. Format your assignment consistent with APA format
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