The blood platelet counts of a group of women have a bell-shaped distribution with a mean of 257.7 and a standard deviation of 66.1. (All units are 1000 cells/uL.) Us the empirical rule, find each approximate percentage below. a. What is the approximate percentage of women with platelet counts within 1 standard deviation of the mean, or between 191.6 and 323.8? b. What is the approximate percentage of women with platelet counts between 59.4 and 456.0? a. Approximately % of women in this group have platelet counts within 1 standard deviation of the mean, or between 191.6 and 323.8. (Type an integer or a decimal. Do not round.) b. Approximately % of women in this group have platelet counts between 59.4 and 456.0. (Type an integer or a decimal. Do not round.)

The blood platelet counts of a group of women have a bell-shaped distribution with a mean of 257.7 and a standard deviation of 66.1. (All units are 1000 cells/uL.) Us the empirical rule, find each approximate percentage below. a. What is the approximate percentage of women with platelet counts within 1 standard deviation of the mean, or between 191.6 and 323.8? b. What is the approximate percentage of women with platelet counts between 59.4 and 456.0? a. Approximately % of women in this group have platelet counts within 1 standard deviation of the mean, or between 191.6 and 323.8. (Type an integer or a decimal. Do not round.) b. Approximately % of women in this group have platelet counts between 59.4 and 456.0. (Type an integer or a decimal. Do not round.)

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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Concept explainers

Continuous Probability Distributions

Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.

Normal Distribution

Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!

Question

The blood platelet counts ofa group of women have a bell-shaped distribution with a mean of 257.7 and a standard deviation of 66.1. (All units are 1000 cells/uL.) Using
the empirical rule, find each approximate percentage below.
a. What is the approximate percentage of women with platelet counts within 1 standard deviation of the mean, or between 191.6 and 323.8?
b. What is the approximate percentage of women with platelet counts between 59.4 and 456.0?
a. Approximately % of women in this group have platelet counts within 1 standard deviation ofthe mean, or between 191.6 and 323.8.
(Type an integer or a decimal. Do not round.)
b. Approximately
(Type an integer or a decimal. Do not round.)
% of women in this group have platelet counts between 59.4 and 456.0.
न
1.
1 Enter your answer in each of the answer boxes.
5.
自 :
5.

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