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For this assignment you will need to download and open a data file that is posted in the Course Content folder and titled “descriptive dataset.sav”.
Perform analyses in SPSS on three (3) variables (one nominal, one ordinal, and one interval-level variable) to obtain appropriate descriptive statistics (e.g., measures of central tendency, dispersion, and distribution) related to the sample. Be sure to choose appropriate descriptive statistics that correspond with the level of measurement (nominal/ordinal/interval) for each of the three variables selected. For example, only the mode, frequency, or percentage of total cases can be reported for a nominal variable.
Create data displays (e.g., histogram graphs, bar graphs, line graphs, pie charts) of related
variables — that is, variables that would make sense to compare based on what it is they are measuring
Export or paste your output into a Word document. Describe the results. Identify whether data are normally distributed. (e.g., you may choose to also write about the data distributions skew and kurtosis.) Write up the results of these analyses as they would appear in a research report. Use the APA manual or the OWL at Purdue Writing with Statistics webpage for formatting guidance. Be sure to discuss your analyses.
Write a short paragraph that highlights your understanding of why exploratory data is a critical part of any statistical analysis. The rationale must include definitions of key concepts and course citations to demonstrate your understanding.
Additional information on how to create data displays is available in Pallant Chapter 7, found in the Course Readings folder. You must show a high level of understanding of the importance of using descriptive statistics to receive full credit on this assignment. You must also format the data displays within the body of your assignment. Be sure your SPSS-created data displays are exported and formatted properly to your Word document.
Module Overview
Chapter two will discuss computing and understanding averages, applying scales, and levels of measurement related to central tendency.
Chapter three discussed the variability and tools used to compute dispersion.
Module Outcomes/Objectives:
Formulate innovative business solutions that incorporate the use of statistical software. Integrate knowledge of statistical theory and quantitative data analysis as shown in scholarly and practitioner applied business research. Construct an independent evaluation of underlying assumptions and requirements of statistical designs and techniques.
NOTE* I attached below the Salkind Chapters 2,3,4,7, also attached my classmates assignment as an example of the correct answer but make sure please all writing must be original