28) Which of the following choices is an example of a sample?

a) Every fourth person entering the mall.

b) Every person with a NYS driver's license.

c) Every member of a football team.

d) Every resident of the state of Ohio.

29) What data values do you need to create a box and whisker plot?

A. minimum, mean, median, maximum

B. minimum, mean, median, mode, maximum

C. minimum, mean, median, lower quartile, upper quartile, maximum

D. minimum, lower quartile, median, upper quartile, maximum

33) Below are an AP Physics class test scores.

88, 92, 66, 74, 90, 80, 83, 85, 76, 74, 52, 65, 68, 70

Find the mean and standard deviation to thenearest tenth.What percent of the scores differ by more than 1 standard deviation?

A. 21.4%

B. 28.6%

C. 35.7%

D. 71.4%

36) If the amount of time students work in a given week is normally distributed with a mean of 10 hours per week and a standard deviation of 2 hours, what is the percentage of students who work between 8 and 11 hours per week?

A. 68.2%

B. 53.2%

C. 38.2%

D. 34.1%

40) In a stem-and-leaf diagram, the 'leaves' must be in numerical order.

a) True

b) False

44) Sam is trying to determine if she should use a power or exponential regression equation for the set of data she was given. She has been able to figure out that if she uses a power regression she has a correlation coefficient of 0.99, and if she uses an exponential regression she has a correlation coefficient of 0.987. Which regression should Sam used based on this information?

A. power

B. exponential

C. neither because she needs a correlation coefficient of 1

D. it doesn't matter, both correlation coefficients are close enough to 1

46) The population per square mile,y, from 1790-2000 can be represented by the linear regression equationy= 3.4x? 623.67. If this trend continues, what will be the population per square mile in 2050?

A. 73.33

B. 1426.7

C. 1981.4

D. 6346.3

47) The table below shows the amount of water vapor that will saturate one cubic meter of air at various temperatures. Find the exponential regression equation for this data, rounding all values to thenearest ten-thousandth.