https://youtu.be/goXdWMZxlqMhttps://youtu.be/hgtMWR3TFnYPlease respond to the prompts below. Please use the headings as instructed.You must use good grammar, properly structured paragraphs, complete well-written simple sentences, and the assignment must be free of spelling errorsHeading 1: Measures of Dispersion and Z ScoresIn your own words, define and explain the application of measures of dispersion, and standard deviation. Also explain the normal curve, the properties of the normal curve (please include the percent of cases that fall +/- 1, 2, and 3 standard deviations from the mean), and Z scores.You must cite and reference at least one addition source, other than the reading assignments. Please cite and reference in APA,Do not copy word for word from your textbook, or any other source.Heading 2: ApplicationUsing this fake SPSS database Data 1.sav Download Data 1.savrun a descriptive analysis of auto theft using this pathway – you may also view the video.Analyze/Descriptive/DescriptiveIn the box, select options.Make sure Range, Mean, Standard Deviation and Minimum and Maximum are selected.click continue.Highlight and bring over the variables listed above.Select save standardized values as variables (this selection causes SPSS to record each z score of each values in the data view page).Then click Okay.Go back to the variable view.Drag he new variable (zautotheft) next to autotheft.Then write a paragraph describing the probability of a city having more than 1200 auto thefts and having less than 1200 auto thefts.From the Healey Text:Chapters 4 and 5From the J. Conrad Dunagan Library:Kołacz, A., & Grzegorzewski, P. (2016). Measures of dispersion for multidimensional data. European Journal of Operational Research, 251(3), 930-937. doi:10.1016/j.ejor.2016.01.011Mukhopadhyay, N. (2014). Griffith, D. A. (2013), “better articulating normal curve theory for introductory mathematical statistics students: Power transformations and their back-transformations,” “the american statistician”, 67, 157–169: Comment by mukhopadhyay and reply. The American Statistician, 68(1), 67-67.
