Problem 1: Using the baseball dataset, which provides data on 30 Major League Baseball teams for the 2009 season; use the following variables for the questions below: Number of wins, team salary, season attendance, American or National league designation and number of home runs recorded.
Which of these variables are quantitative? Which are qualitative?
Determine the level of measurement for each of the variables.
Using the Real Estate dataset, select an appropriate class interval and organize the selling prices into a frequency distribution. Then address the following questions:
Around what values do the data tend to cluster?
What is the largest selling price? What is the smallest selling price?
How many homes sold for less than $200K?
Estimate the percent of homes that sold for more than $220K.
What percent of homes sold for less than $125K?
Using the Buena School District bus data. Select the variable referring to the number of miles traveled last month, and then organize this data into a frequency distribution.
What is the typical amount of miles traveled? What is the range?
Comment on the shape of the distribution. Are there any outliers in terms of miles driven?
Draw a cumulative frequency distribution. 40% of the buses were driven fewer than how many miles? How many buses were driven less than 850 miles?