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I have a math problem and i need it to be solved as an essay ( basically explaining the answer as an essay)
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all done. Let me know if you need anything else
In order to find the final value of x, first we need to start by assigning values to the
variables were going to use. We need to let x be half of the width of the rectangle, and h will be
the height of the very same rectangle. The perimeter, as given to us in the problem, is 24 feet. ...
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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)
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In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the before/after weights result in r = 0.876.Is there sufficient evidence to support a claim of a linear correlation between before/after weights?Does the value of r indicate that the program is effective in reducing weight? Why or why not?*Comment on your classmates postings by comparing and contrasting your results. Below is my classmate post.The value of r being 0.876 would align closest with alpha being 0.1 and n being 7. This wouldn't make an impact on the graph showing weights before and after, and wouldn't be in correlation with the data given. We don't know what the starting weights were, or the ending weights were to determine if the data shows that the program is effective or not. I don't think that the r represents or indicates that the program is even effective.
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Most Popular Content
4 pages
Factorial Analysis Of Variance In Spss
Do gender, the age of a person, the teachers and anxiety have a contribution to social The data set is randomly selected a ...
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Do gender, the age of a person, the teachers and anxiety have a contribution to social The data set is randomly selected and assumes normal ...
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
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ALEKS Lab[CLOs: 1, 2, 4, 5]Access the ALEKS site here. Selecting this link will open the ALEKS window that allows you to access the ALEKS functionality. In addition, you may want to disable any pop-up blockers for this site.For the Week Five Math Lab, click on the ALEKS tab on the left navigation toolbar, in your online course. Review the tutorial on how to use ALEKS for your lab. Work in the Week Five module by selecting topics from your “pie.”Please Note: You may be prompted throughout the weeks to take diagnostic assessments. It is very important that you take these seriously and follow directions, as it will customize your weekly “pies.”Week 5 ALEKS HomeworkDue Monday by 11:59pmWeek 5 ALEKS Homework[CLOs: 1, 2, 4, 5]Access the ALEKS site here. Selecting this link will open the ALEKS window that allows you to access the ALEKS functionality. In addition, you may want to disable any pop-up blockers for this site.Complete the Homework on the assigned readings for the week in the ALEKS system, located in the left navigation toolbar in your online course. Review the tutorial on how to use ALEKS for your homework assignment. Click on the “Homework” button or tab at the top of your account window. Select the appropriate homework assignment for the week. Once you begin the assignment, you will not be able to work in other parts of ALEKS until it is completed. Be sure to use your textbook while using ALEKS for useful explanations of the problems. If necessary, you can log off of your ALEKS account
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In a test of a weight loss program, weights of 40 subjects are recorded before and after the program. Assume that the before/after weights result in r = 0.876.Is there sufficient evidence to support a claim of a linear correlation between before/after weights?Does the value of r indicate that the program is effective in reducing weight? Why or why not?*Comment on your classmates postings by comparing and contrasting your results. Below is my classmate post.The value of r being 0.876 would align closest with alpha being 0.1 and n being 7. This wouldn't make an impact on the graph showing weights before and after, and wouldn't be in correlation with the data given. We don't know what the starting weights were, or the ending weights were to determine if the data shows that the program is effective or not. I don't think that the r represents or indicates that the program is even effective.
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