MM207 Purdue University Unit 3 Statistical Reasoning for Everyday Life HW Unit 3 Discussion Previous Next During this unit, you will learn about many di

MM207 Purdue University Unit 3 Statistical Reasoning for Everyday Life HW Unit 3 Discussion

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During this unit, you will learn about many different types of graphs, which graphs are most appropriate for specific data, and when graphs are misleading. For instance, a graph can misrepresent the data if it does not provide a proper representation of the data, which can be caused by the vertical scale being too small or too large, or by not starting at 0. Additionally, if a graph does not have the proper labels or if data are left out, this can also result in a graph that does not properly represent the data.

1. What story does this visual display (graph) below tell? Describe the variables that are being compared. (Hint: There are three). Do you think that this is an accurate and fair description of the data? Is this graph clear or misleading? Why?

Source: https://www.bls.gov/emp/ep_chart_001.htm

2. What story does the Pie Graph below tell? Describe what these data are representing. Do you think that this is an accurate and fair description of these data? Is this graph easy to understand? Name at least three things wrong with this graph and how you might correct them?

Source: http://blog.jgc.org/2009/08/please-dont-use-pie-ch…

Please create personalized and substantive responses to at least two other student main posts. In your response, include the following:

Review the student’s explanation of both graphs. Create a paragraph that compares the similarities and differences between their view and your view.
Review the student’s description of the variables described in the first bar graph above. What variables did the student note? Did you find the same variables? There are three variables in the graph, list all three and note whether or not you and the student found them all.

Discussion Requirements

Reading and Resources
Read 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 3: “Visual Displays of Data”

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.

TEXTBOOKS

Bennett, J., Briggs, W. L., Triola, M. F. Statistical Reasoning for Everyday Life