In about what percentage of countries would the percentage of people 65 and older be less than 0.10? In about what percentage of countries would the percentage of people 65 and older be greater than 0.10? art 2 - Estimate Values Using the Empirical RuleOne reason to use a normal distribution model is to make estimates about data,especially data that are not readily available. The model gives statisticiansconfidence that the mean is equal to the median and that the empirical rule holdstrue. This rule, also called the "68-95-99.7 rule," states that for normaldistributions:.Approximately 68 percent of the data are within one standard deviation, o,of the mean, μ.Approximately 95 percent of the data are within two standard deviations o,of the mean, H.Approximately 99.7 percent of the data are within three standard deviations,o, of the mean, μ. Numberof counties350300250200Item 1: Percentage of Population Aged 65 and Older01 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55Percentage of seniors (aged 65 years and over) in each county15010050

Given Information: Mean μ=0.18 Standard deviation σ=0.04

In about what percentage of countries would the percentage of people 65 and older be less than 0.10? In about what percentage of countries would the percentage of people 65 and older be greater than 0.10?

In about what percentage of countries would the percentage of people 65 and older be less than 0.10? In about what percentage of countries would the percentage of people 65 and older be greater than 0.10?

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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Question

art 2 - Estimate Values Using the Empirical Rule
One reason to use a normal distribution model is to make estimates about data,
especially data that are not readily available. The model gives statisticians
confidence that the mean is equal to the median and that the empirical rule holds
true. This rule, also called the "68-95-99.7 rule," states that for normal
distributions:
.
Approximately 68 percent of the data are within one standard deviation, o,
of the mean, μ.
Approximately 95 percent of the data are within two standard deviations o,
of the mean, H.
Approximately 99.7 percent of the data are within three standard deviations,
o, of the mean, μ.

Number
of counties
350
300
250
200
Item 1: Percentage of Population Aged 65 and Older
0
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55
Percentage of seniors (aged 65 years and over) in each county
150
100
50

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