Suppose that the mean cranial capacity for men is 1020 cc (cubic centimeters) and that the standard deviation is 300 cc. Assuming that men's cranial capacities are normally distributed, complete the following statements. (a) Approximately 99.7% of men have cranial capacities between __ cc and __ cc.(b) Approximately? (68% 75% 95% 99.7%) of men have cranial capacities between 420 cc and 1620 cc. Suppose that the mean cranial capacity for men is 1020 cc (cubic centimeters) and that the standard deviation is 300 cc. Assuming that men's cranial capacitiesare normally distributed, complete the following statements.(a) Approximately 99.7% of men have cranial capacities between(b) Approximately?1620 cc.cc and cc.of men have cranial capacities between 420 cc andX

Answered: Suppose that the mean cranial capacity…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Suppose that the mean cranial capacity for men is 1020 cc (cubic centimeters) and that the standard deviation is 300 cc. Assuming that men's cranial capacities are normally distributed, complete the following statements.

(a) Approximately 99.7% of men have cranial capacities between __ cc and __ cc.

(b) Approximately? (68% 75% 95% 99.7%) of men have cranial capacities between 420 cc and 1620 cc.

Suppose that the mean cranial capacity for men is 1020 cc (cubic centimeters) and that the standard deviation is 300 cc. Assuming that men's cranial capacities
are normally distributed, complete the following statements.
(a) Approximately 99.7% of men have cranial capacities between
(b) Approximately?
1620 cc.
cc and cc.
of men have cranial capacities between 420 cc and
X

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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