Question content area topPart 1Use the normal distribution of SAT critical reading scores for which the mean is510and the standard deviation is113.Assume the variable x is normally distributed.left parenthesis a right parenthesis(a)What percent of the SAT verbal scores are less than625?left parenthesis b right parenthesis(b)If 1000 SAT verbal scores are randomly selected, about how many would you expect to be greater than575?Approximately what % of the SAT verbal scores are less than 625?You would expect that approximately what SAT verbal scores would be greater than 575(Round to the nearest whole number as needed.)

(a) Approximately 84.61% of the SAT verbal scores are less than 625. (b) If 1000 SAT verbal scores…

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Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 22PFA

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Question content area top

Part 1

Use the normal distribution of SAT critical reading scores for which the mean is

510

and the standard deviation is

113.

Assume the variable x is normally distributed.

left parenthesis a right parenthesis(a)	What percent of the SAT verbal scores are less than 625?
left parenthesis b right parenthesis(b)	If 1000 SAT verbal scores are randomly selected, about how many would you expect to be greater than 575?

Approximately what % of the SAT verbal scores are less than 625?

You would expect that approximately what SAT verbal scores would be greater than 575(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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