) Assume that the heights of men are normally distributed with a mean of 66.8 inches and a standard deviation of 2.8 inches. If 64 men are randomly selected, find the probability that they have a mean height greater than 67.8 inches.

The probability that they have a mean height greater than 67.8 inches is 0.00212.

Step-by-step explanation:

We are given that the heights of men are normally distributed with a mean of 66.8 inches and a standard deviation of 2.8 inches.

64 men are randomly selected.

Let = sample mean height

The z-score probability distribution for sample mean is given by;

                Z =  ~ N(0,1)

where, = mean height = 66.8 inches

             = standard deviation = 2.8 inches

            n = sample of men = 64

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that they have a mean height greater than 67.8 inches is given by = P( > 67.8 inches)

         P( > 67.8) = P( > ) = P(Z > 2.86) = 1 - P(Z 2.86)

                                                              = 1 - 0.99788 = 0.00212

The above probability is calculated by looking at the value of x = 2.86  in the z table which has an area of  0.99788.

Therefore, if 64 men are randomly selected, the probability that they have a mean height greater than 67.8 inches is 0.00212.

in problems involving proportions, we can use cross products to test whether two ratios are equal and form a proportion. to find the cross products of a proportion, we multiply the outer terms, called the extremes, and the middle terms, called the means.

hope it