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1. The table shows the amount of recycling collected by three teams, rounded to the nearest pound, in each of
three categories.
Team
Glass
Plastic
Paper
1
18
3
8
2
10
9
14
3
7
12
5
(a) What percent of the plastic collected by all the teams did Team 2 collect?
(b) What percent of Team 1’s collection was glass?
(c) Make a multiple bar graph to represent the amount collected by the teams in each of the three
categories.
(d) Create a stacked bar graph to represent the amount collected by the teams in each of the three
categories.
2. The data show prices of light bulbs at a home improvement store, rounded to the nearest dollar.
5, 2, 8, 10, 2, 20, 6, 15, 29, 6, 2, 2, 5, 1, 3
(a) Find the five-number summary of the data set.
(b) Find the range and interquartile range (IQR) of the data set.
(c) Draw a box plot of the data set.
(d) Explain whether the data set has an outlier. If yes, draw a modified box plot.
3. The weights of apples in a shipment from Al’s Orchards are normally distributed with a mean of 142 grams
and a standard deviation of 9 grams. The weights of apples in a shipment from Zippy’s Orchards are normally
distributed with a mean of 165 grams and a standard deviation of 13 grams.
A rotten apple has a mean of 156 grams. Was it more likely to come from Al’s or from Zippy’s? Use z-scores
4. The table shows the average cost, in dollars, of a movie ticket in the United States for different years.
Year
1948
1963
1974
1978
1985
1991
1997
2005
2010
Cost
0.36
0.86
1.89
2.34
3.55
4.21
4.59
6.41
7.89
Use technology to answer the following:
(a) Find the equation of the least squares regression line. Round values of a and b to four decimal
places.
(b) Find r. Round to three decimal places. Interpret the r-value.
(c) Find
r 2 . Round to three decimal places. Tell what it means.
(d) Use the equation of the least squares regression line to predict the average cost of a movie ticket in
1995.

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