Use the normal distribution of SAT critical reading scores for which the mean is 502 and the standard deviation is 114. Assume the variable x is normally distributed. (a) What percent of the SAT verbal scores are less than 675? (Round to two decimal places as needed.) (b) If 1000 SAT verbal scores are randomly selected, about how many would you expect to be greater than 525? (Round to the nearest whole number as needed.)
Use the normal distribution of SAT critical reading scores for which the mean is 502 and the standard deviation is 114. Assume the variable x is normally distributed. (a) What percent of the SAT verbal scores are less than 675? (Round to two decimal places as needed.) (b) If 1000 SAT verbal scores are randomly selected, about how many would you expect to be greater than 525? (Round to the nearest whole number as needed.)
Use the normal distribution of SAT critical reading scores for which the mean is 502 and the standard deviation is 114. Assume the variable x is normally distributed. (a) What percent of the SAT verbal scores are less than 675? (Round to two decimal places as needed.) (b) If 1000 SAT verbal scores are randomly selected, about how many would you expect to be greater than 525? (Round to the nearest whole number as needed.)
Use the normal distribution of SAT critical reading scores for which the mean is
502 and the standard deviation is 114.
Assume the variable x is normally distributed.
(a)
What percent of the SAT verbal scores are less than
675? (Round to two decimal places as needed.)
(b)
If 1000 SAT verbal scores are randomly selected, about how many would you expect to be greater than
525? (Round to the nearest whole number as needed.)
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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