State police believe that 70% of the drivers traveling on a major interstate highway exceed the speed limit. they plan to set up a radar trap and check the speeds of 80 cars. using the 68-95-99.7 rule, draw and label the distribution of the proportion of these cars the police will observe speeding.

a) From the empirical rule we know that about 68% of the samples are between:

95% of the sample proportions would be between:

And 99.7 % would be between these limits:

And the figure attached explain the results obtained.

b) i) Independence condition of all the cars

ii) np>10 , 80*0.7=56>10

n(1-p)= 80(1-0.7)=24>10

We have all the conditions so then the normal model can be used.

Step-by-step explanation:

Part a

For this case we assume that the true parameter of interest on this case is p= proportion of drivers traveling on a major interstate highway exceeding the spped limit. For this case the mean and the deviation for the proportion is given by:

From the empirical rule we know that about 68% of the samples are between:

95% of the sample proportions would be between:

And 99.7 % would be between these limits:

And the figure attached explain the results obtained.

b) Do you think the appropriate conditions necessary for your analysis are met? Explain.

We assume the following conditions:

i) Independence condition of all the cars

ii) np>10 , 80*0.7=56>10

n(1-p)= 80(1-0.7)=24>10

We have all the conditions so then the normal model can be used.

sorry i just need to anwers this to get points

step-by-step explanation:

a is 8.b is 10.c is 10.5. d is -.5

step-by-step explanation:

just minus the smallest number from the biggest.