The mean score on a driving exam for a group of driver's education students is 80 points, with a standard deviation of 3 points. apply chebychev's theorem to the data using k=2. interpret the results.

Step-by-step explanation:

Given that average or mean score on a driving exam by a group of driver's education students is 80 points, and standard deviation 3 points.

We are asked to apply Chebychev's theorem for this.

This theorem states that if x is an integrable random variable with mean = mu and std dev = sigma then

P(|X-\mu |>= k\sigma )<= {\frac {1}{k^{2}}}.

Substitute our values here.

P(|x-80|>=2(3)|<= 1/4

|x-80|>=6 mean

x is eithre less than 80-6 or greater than 80+6

i.e. probability for driving educated students getting scores not between

74 and 86 is less than 0.25

nope

step-by-step explanation:

step-by-step explanation:

i believe its "c" because all of the other options include a but it could be d because there is a way of financing with cash at certain places but its uncommon.