Write Up:

1. Identify the population, sample, variables, and

individual. For each variable, identify the level of

measurement (nominal, ordinal, interval, or ratio)

and whether it is quantitative or qualitative.

2. Describe the sampling method chosen and how it

will produce an unbiased sample of the population.

3. Using StatCrunch, for each of your quantitative

variables, calculate and report the sample size,

mean, standard deviation, 5 number summary (min,

Q1, med, Q3, and max).

4. For both the price and mileage variables, produce a

histogram and a box plot using StatCrunch and

copying the pictures over to Word. Interpret these

graphs. Hint: You can interpret them by identifying

the shape of the distribution, the direction of skew,

and identifying potential outliers./n5. For the exterior color variable, provide a frequency

or relative frequency table and a pie chart.

Interpret/discuss these results. Hint: You can

interpret the results by discussing what is the most

frequent and least frequent color.

6. Upload your data set as well (either as a table in

your file with the items listed above, or as a

separate CSV or Excel file).