AP Stats Chapter 2&3 Review

The area under the standard normal curve corresponding to -0.2 < z < 2.03 is

• 0.5581

• 0.5686

• 0.3995

• 0.4100

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CCSS.HSS.ID.A.4

The scores of the math portion of the SAT are approximately normal with a mean of 510 and a standard deviation of 42. Approximately what percent of students will score higher than 600?

• 0.9838

• 0.0162

• 0.0179

• 0.9821

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CCSS.HSS.ID.A.4

The life span of ladybugs is approximately normally distributed with a mean of 18 months and a standard deviation of 2.5 months. Only about 5% of ladybuds will have a lifespan outside which interval?

• 15.5 to 23 months

• 15.5 to 20.5 months

• 13 to 23 months

• 10.5 to 25.5 months

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CCSS.HSS.ID.A.4

The average high temperature in July for a midwest city is 89 degrees. What is the standard deviation if 15% of July's on record for the city have an average high temperature above 91.5 degrees? Assume average temperatures are normally distributed.

• s = 0.060

• s = 16.667

• s = 0.416

• s = 2.404

95% of students who take the AP stats exam need between 186 and 214 minutes to complete it. What is the standard deviation of time students need to finish the exam? Assume times are normally distributed.

• 4.67 minutes

• 14 minutes

• 7 minutes

• 28 minutes

Suppose that the mean of a set of values is 20, and the standard deviation is 3. If each value is increased by 5, what will be the mean and standard deviation of the new set of values?

• mean = 25, sd = 8

• mean = 20, sd = 3

• mean = 20, sd = 8

• mean = 25, sd = 3

A college offers scholarships to students who score in the top 2% of students on an entrance exam. If the mean score on the exam is 176 and the standard deviation is 4, what is the minimum score a student would need to get a scholarship?

• 167.80

• 184.20

• 176.08

• 179.92

Tags

CCSS.HSS.ID.A.4

Suppose the plot of x vs log y appears linear. What can we conclude about the relationship between the explanatory and response variables?

• A linear model will best fit the original data.

• An exponential model will best fit the original data.

• A power model will best fit the original data.

• It is impossible to determine without examining the data

What equation for the LSRL would be most reasonable for this data?

• $y=30.57+1.89x$
  

• $y=-26.16+1.58x$

• $y=-42.12-1.26x$
  

• $y=42.56-1.39x$
  

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CCSS.8.EE.C.8C

The equation  $y=-26.16\ +\ 1.58x$   can be used to predict a student's heart rate after a brisk walk around the school, if their resting heart rate (before the walk) is known. Suppose a student's resting heart rate is 65 bpm, and after the walk their heart rate is 80 bpm.  What is the residual for this student?

• 76.54

• 3.46

• -3.46

• -76.54

Tags

CCSS.8.EE.C.8C