Final answer:
To determine the value of x in a data set that is normally distributed with a mean of 150 and a standard deviation of 46, we can use the z-score formula and the standard normal distribution table to find the corresponding values of x for different cumulative probabilities.
Step-by-step explanation:
To determine the value of x in a normal distribution with a mean of 150 and a standard deviation of 46, we can use the z-score formula and the standard normal distribution table.
(a) To find the value of x where 60% of the values are greater than x, we can find the z-score corresponding to a cumulative probability of 0.60 and use the formula z = (x - mean) / standard deviation to find x.
(b) To find the value of x where x is less than 16% of the values, we can find the z-score corresponding to a cumulative probability of 0.16 and use the formula z = (x - mean) / standard deviation to find x.
(c) To find the value of x where 25% of the values are less than x, we can find the z-score corresponding to a cumulative probability of 0.25 and use the formula z = (x - mean) / standard deviation to find x.
(d) To find the value of x where x is greater than 65% of the values, we can find the z-score corresponding to a cumulative probability of 0.65 and use the formula z = (x - mean) / standard deviation to find x.