Descriptive Statistics and Interpretation

Create a Microsoft® Excel® spreadsheet with the two variables from your learning team’s dataset.

Analyze the data with MegaStat®, StatCrunch®, Microsoft® Excel®or other statistical tool(s), include in your paper:

(a) Descriptive stats for each numeric variable (e.g., mean, median, mode, percentage, standard deviation, etc. as appropriate)

(b) Histogram for each numeric variable (a histogram is for interval or ratio data only)

(c) Bar chart for each attribute (non numeric) variable (bar charts are for nominal or ordinal data only)

(d) Scatter plot if the data contains two numeric variables (interval or ratio data only – as appropriate)

Determine the appropriate descriptive statistics.

(a) For normally distributed data use the mean and standard deviation.

(b) For significantly skewed data use the median and interquartile range.

Use The Individual Methodology Findings Template to complete the descriptive statistics.

Use the Descriptive Statistics and Interpretation Example to develop an interpretation of the descriptive statistics.

Format your paper consistent with APA guidelines.

Submit both the spreadsheet and the completed Individual Methodology Findings Template.

qnt561_r7_descriptive_statistics_and_interpretation_example_week4.doc 

qnt561_r7_individual_methodology_findings_template_week4.doc 

Blue Rectangle Data.xlsx