: The normal distribution follows a bell shaped curve, where probabilities are found by calculating the area under the curve. True of false:

For continuous data, the probability P(X=x) always equals zero. True of false:

For continuous random variables, the probability of being less than some value, x, IS NOT the same as the probability of being less than or equal to the same value, x. True of false:

Let X follow an approximately normal distribution with a mean of 132 and a standard deviation of 13.

What is the probability of seeing a value less than or equal to 110?

Let X follow an approximately normal distribution with a mean of 132 and a standard deviation of 13.

What is the probability of seeing a value greater than or equal to 140?

Let X follow an approximately normal distribution with a mean of 132 and a standard deviation of 13.

What is the standardized score for a value of x=105?

Using the Emperical Rule, what is the APPROXIMATE probability of seeing a value between 2 standard deviations above and below the mean?

Let X follow an approximately normal distribution with a mean of 132 and a standard deviation of 13.

What is the probability of seeing a value between 122 and 153?

Let X follow an approximately normal distribution with a mean of 132 and a standard deviation of 13.

What is the cutoff score for the bottom 13% of observations?

Let X follow an approximately normal distribution with a mean of 132 and a standard deviation of 13.

What is the cutoff score for the top 5% of observations?