Consider the following frequency distribution, known as standard normal. As a wildlife scientist you are tasked with measuring the pollutant concentration of oysters in Oyster Bay. After sampling 1000 oysters you conclude the concentration of pollutants follows a normal distribution (like the one shown but with its own mean and standard deviation). Approximately how many of the oysters sampled fall within 1 standard deviation of the mean? one standard deviation -3 -1 About 50 oysters. About 950 oysters. About 3 oysters. About 500 oysters. About 680 oysters. 68% of data 95% of data 99.7% of data 0 1 2 3
Consider the following frequency distribution, known as standard normal. As a wildlife scientist you are tasked with measuring the pollutant concentration of oysters in Oyster Bay. After sampling 1000 oysters you conclude the concentration of pollutants follows a normal distribution (like the one shown but with its own mean and standard deviation). Approximately how many of the oysters sampled fall within 1 standard deviation of the mean? one standard deviation -3 -1 About 50 oysters. About 950 oysters. About 3 oysters. About 500 oysters. About 680 oysters. 68% of data 95% of data 99.7% of data 0 1 2 3
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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Step 1
Given that,
The random variable is the pollutant concentration of oysters in Oyster Bay.
It is normally distributed.
The sample size is 1000.
The empirical rule is as follows.
For the normally distributed data, 68% of the data falls within one standard deviation of the mean, 95% of the data falls within 2 standard deviations of the mean and 99.7% of the data falls within3 standard deviations of the mean.
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