Algebra 1 Stats EOC

What conclusion can the store manager draw based on the data?

• An increase in sales causes a decrease in visitors.

• An increase in visitors causes an increase in sales.

• An increase in sales is correlated with a decrease in visitors.

• An increase in visitors is correlated with an increase in sales.

Bryson collects data on the depth of a river at various points and the velocity of the river at those points. His data have a correlation coefficient of -0.9382. Which scatterplot could represent his data?

• Scatterplot A

• Scatterplot B

• Scatterplot C

• Scatterplot D

Which statistical measure changes when every number in a data set is increased by 10?

• range

• mean

• standard deviation

• interquartile range

Compare the distances relative to Columbus from which the trains begin their trip.

• Train A starts at 1800 miles, Train B at 1200 miles.

• Train A starts at 1200 miles, Train B at 1800 miles.

• Both trains start at 1800 miles.

• Both trains start at 1200 miles.

Tom claims both trains traveled at the same speed over a certain interval. Sara claims that both trains traveled at different speeds the entire time. Justify which claim is correct.

• Tom is correct; both trains traveled at the same speed between 12:00 p.m. and 2:00 p.m.

• Sara is correct; both trains traveled at different speeds the entire time.

• Tom is correct; both trains traveled at the same speed between 6:00 a.m. and 8:00 a.m.

• Sara is correct; both trains traveled at the same speed between 3:00 p.m. and 5:00 p.m.

Which statement is true based on the histograms showing the number of cans donated by the freshman and sophomore classes?

• The freshman class has a lesser mean number of cans donated than the sophomore class.

• The freshman class has the same median number of cans donated as the sophomore class.

• The freshman class has a greater mean number of cans donated than the sophomore class.

• The freshman class has a greater median number of cans donated than the sophomore class.

A new car wash business records the number of cars it washes each day for the first 7 days the business is open. The data are shown in the table. The car wash owner uses the equation $ y = x + 44 $ to model the data, where $ x $ represents the number of days the business has been open and $ y $ represents the number of cars washed. Why is the equation not a good fit for the data?

• The equation is a good fit because the residual points are approximately linear.

• The equation is a good fit because the residual points have a positive association.

• The equation is not a good fit because a residual plot with the pattern from this data set indicates a bad fit.

• The equation is not a good fit because there should be an equal number of points below and above the x-axis in the residual plot.

What is the frequency of trees with a height between 3.0 and 3.9 feet?

• 3

• 4

• 5

• 2

What is the frequency of trees with a height between 5.0 and 5.9 feet?

• 2

• 3

• 4

• 5

What is the frequency of trees with a height between 6.0 and 6.9 feet?

• 1

• 2

• 3

• 4