Suppose that the true mean speed of cars in the school zone is actually 15 mph and the speeds we measured came from a bad sample.  If our test showed that we had convincing evidence to conclude that the true mean is greater than 15, what type of error would you have committed? Select one: a. Neither a Type I nor a Type II error b. Type I error c. Both a Type I and Type II error d. Type II error

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Suppose that the true mean speed of cars in the school zone is actually 15 mph and the speeds we measured came from a bad sample.  If our test showed that we had convincing evidence to conclude that the true mean is greater than 15, what type of error would you have committed?

Select one:

a.
Neither a Type I nor a Type II error


b.
Type I error


c.
Both a Type I and Type II error


d.
Type II error

A city is concerned that cars are not obeying school zones by speeding th rough them, putting
children at greater risk of injury. The speed limit in school zones is 15 miles per hour. Throughout the course
of one day, a police officer hides his car on a side street that intersects the middle of the school zone and
records the speed of each car that passes through. The 36 cars that he recorded had an average speed of 16.33
mph with a sample standard deviation of 2.54 mph.
area=.05
area=.025
area=.01
area=,005
t-tail probabilities (df=35)
-2.44
-2.72
-2.03
-1.69
area=.05
+1.69
area=.025
+2.03
area=.01
+2.44
area=.005
t for sample
size n=36
+2.72 (df=35)
Transcribed Image Text:A city is concerned that cars are not obeying school zones by speeding th rough them, putting children at greater risk of injury. The speed limit in school zones is 15 miles per hour. Throughout the course of one day, a police officer hides his car on a side street that intersects the middle of the school zone and records the speed of each car that passes through. The 36 cars that he recorded had an average speed of 16.33 mph with a sample standard deviation of 2.54 mph. area=.05 area=.025 area=.01 area=,005 t-tail probabilities (df=35) -2.44 -2.72 -2.03 -1.69 area=.05 +1.69 area=.025 +2.03 area=.01 +2.44 area=.005 t for sample size n=36 +2.72 (df=35)
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