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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 corresponds with 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 distribution’s 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.