Applying Descriptive Statistics Part II

Instructions

Descriptive Statistics Part 2InstructionsComplete the following:    Classify each of the five variables in the Dataset spreadsheet  based on variable types. Select variables so that the level of measurement of your five variables include nominal, ordinal, and interval levels of measurement.    Conduct a descriptive data analysis for each of the five study variables using IBM SPSS. The following data should be produced by the resulting descriptive analysis and reported in your narrative summary of the analysis:o    Measures of Central Tendency:o    Mean.o    Mode.o    Median.o    Measures of Dispersion:o    Standard error.o    Standard deviation.o    Variance.o    Range.o    Sum.    Report the results of your descriptive data analysis (including how you classified the five variables you selected for your analysis) and provide a narrative account of the step-by-step process you followed to conduct the analysis.    Note 1: Dataset 1 is a large dataset with over 100 variables. Use the dataset tab view to scroll from column A to column CH. Use the codebook tab view to scroll down and see the value labels.    Note 2: You could import the entire dataset into SPSS or you could copy out just those five variable columns and put them in a SPSS file. Submit your paper to the assignment area after incorporating any peer feedback from the unit discussion.

Answer

Descriptive Statistics of race, living situation, weight in pounds, education, and height will be used to gain a complete understanding of the various constituencies that comprise the university culture. The variables are selected to represent each of the four levels of measurements.Classification of Five VariablesRaceRace is a nominal variable. Nominal variables are used to label, name, or classify certain features that are being examined. The data under the race variable has labels that identify an object. The measurements often represent non-numeric variables (Mishra et al., 2019). Since the labels do not contain numerical values, no arithmetic operations can be done on the data. Living situation.Living situation is an ordinal variable. An ordinal data is a quantitative data with a natu...
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