MATH 239 Week 2 Assignment Help

MATH 239 Week 2  Assignment Help | american-public-university-system

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Assignment Instructions

The course project allows you to utilize the skills that you have learned in the course to develop and present an analysis of a large data set. You will have the option of choosing your own data or sample data with between 200 - 250 data points. You will be required to include specific analyses in your report and present the results to your colleagues. There will be a focus on using technology throughout the project.

Specific details of the course project:

You may choose data from any source. Choose an area that interests you. If you need ideas for finding data, do a Google search for "free data". Find a set of data that includes 200-250 data points and two categorical variables. From this data you are going to perform a series of statistical computations and present the findings to your peers by means of a technology presentation tool. The presentation will be recorded, and you will orally present your findings to the class. Your presentation will be uploaded to the forum so that your peers can review it. In addition, you will include a formal write-up of the findings that will be submitted in the class assignments folder. You will have the opportunity to be creative in how you present the findings from your data set, and we will be discussing online tools and tips/strategies for presenting data throughout the class. This course project is the culmination of the content that we cover during the course. The course project presentation accounts for 21% of the final course grade, and a rubric will be used to score your work. This course project will mirror the practice work that you will be completing in the forums each week, so it is a good idea to find your course project data set early on and complete the required components as we practice them each week.

In your presentation, you will be required to show the following:

·         Describe the nature of the data. What do the data represent? Why did you choose this data set? How many data points are included?

·         Describe the types of variables, the type of sample, possible lurking variables, and any association or causation.

·         Create a histogram, describe the shape of the distribution, and find the mean and median.

·         Compute the standard deviation, the five number summary, and the range and interquartile range. Provide a visual representation of this information.

·         Find possible outliers (there may be none, but you will need to show how you determined that), draw a boxplot, create a scatterplot, and compute the sample correlation r.

·         If you found a moderate to strong linear relation between the variables, compute the regression equation and describe how you could use a regression line to make predictions.

·         Conclude with a summary of the major findings. How have these findings informed the topic, and what are the implications of the findings?

In the presentation you do not need to show each step of the computations for every statistic. You will, however, be required to show the work in the write-up.

Please be advised that Sakai has file size limitations. If you have a large media file, you may want to upload it to YouTube and link it through the Assignments tab.