The blood platelet counts of a group of women have a bell-shaped distribution with a mean of 257.5and a standard deviation of 66.2. (All units are 1000 cells/μL.)Using the empirical rule, find each approximate percentage below.a.What is the approximate percentage of women with platelet counts within2standarddeviationsof the mean, or between125.1and389.9?b.What is the approximate percentage of women with platelet counts between58.9and456.1?a. Approximately enter your response here%of women in this group have platelet counts within 2 standard deviationsof the mean, or between 125.1and 389.9. (Type an integer or a decimal. Do not round.) b. Approximately enter your response here% of women in this group have platelet counts between 58.9 and456.1. (Type an integer or a decimal. Do not round.)

Answered: The blood platelet counts of a group of…

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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The blood platelet counts of a group of women have a bell-shaped distribution with a mean of 257.5
and a standard deviation of 66.2. (All units are 1000 cells/μL.)
Using the empirical rule, find each approximate percentage below.

a.	What is the approximate percentage of women with platelet counts within 2 standard deviations of the mean, or between 125.1 and 389.9?
b.	What is the approximate percentage of women with platelet counts between 58.9 and 456.1?

a. Approximately enter your response here%
of women in this group have platelet counts within 2
standard deviations
of the mean, or between 125.1
and 389.9. (Type an integer or a decimal. Do not round.)

b. Approximately enter your response here% of women in this group have platelet counts between 58.9 and

456.1. (Type an integer or a decimal. Do not round.)

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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