<p> 1: You should be able to explain/discuss each of the following words/concepts below. . .</p><p>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?</p><p>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?</p><p>What types of graphs are appropriate for categorical data? Explain the process for identifying outliers? </p><p>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</p><p>Explain marginal distribution What makes the std dev get bigger vs. smaller? Can the std dev = 0? How do you compute conditional distributions?</p><p>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:</p>