1: You Should Be Able to Explain/Discuss Each of the Following Words/Concepts Below. .

1: You should be able to explain/discuss each of the following words/concepts below. . .

What’s the difference between categorical and quantitative variables? Draw a picture of the various distribution shapes: Symmetric, right-skewed, left-skewed, uniform What is a distribution?

What is the difference between frequency and relative frequency? Explain the difference between and : Explain the difference between and : When is it better to use relative frequency (%) vs. frequency? What is a resistant measure? Which values are resistant?

What types of graphs are appropriate for categorical data? Explain the process for identifying outliers?

What are the steps for making a bar-graph? Explain how to determine each of the values in five-number summary:  Minimum When is it inappropriate to use a pie chart?  Lower quartile  Median {if even amount data, if odd amount} What types of graphs are appropriate for quantitative data?  Upper quartile What are the steps for making a histogram?  Maximum Explain how to determine  Mean What are some common ways to make a misleading graph?  Standard deviation

Explain marginal distribution What makes the std dev get bigger vs. smaller? Can the std dev = 0? How do you compute conditional distributions?

What does it mean if two variables have an association? Which values described above can you use for describing center? And which ones are used for spread? If I calculated values to determine association would they be the same or if data symmetric if data skewed different if there was an association? center spread Explain/give examples how a lurking variable might actually be causing the association. What factors should you consider when choosing which summary statistics to use for center and spread? Explain each element of the distribution: Shape Describe the shape of the distribution if outlier(s) mean = median: Center mean < median: Spread mean > median: