Learning Outcomes

Having successfully completed this course you will be able to:

• Explain requirements for conducting a sampling
• Describe methods for gathering data
• Compare processes of classifying data
• Compute central tendency, including mean, median, mode
• Define sigma notation expressions in order to write large sums
• Compute the range for a data set
• Compute mean absolute deviation
• Compute variance
• Compute standard deviation
• Label mean, standard deviations, and percentages on a normal bell curve
• Identify variations on skewed graphs
• Compare relationships between data sets using correlation
• Analyze scatter plots and then create them based on given data
• Calculate the Pearson coefficient of correlation
• Calculate critical levels of r
• Calculate the equation of the regression line and “best fit”