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In 2017 a pollution index was calculated for a sample of cities in the eastern states using data on air and water pollution. Assume the distribution of pollution indices is unimodal and symmetric. The mean of the distribution was $35.9$ points with a standard deviation of $11.6$ points. (Source: numbeo. com) see Guidance page $142 .$ a. What percentage of eastern cities would you expect to have a pollution index between $12.7$ and $59.1$ points? b. What percentage of eastern cities would you expect to have a pollution index between $24.3$ and $47.5$ points? c. The pollution index for New York, in 2017 was $58.7$ points. Based on this distribution, was this unusually high? Explain.

          In 2017 a pollution index was calculated for a sample of cities in the eastern states using data on air and water pollution. Assume the distribution of pollution indices is unimodal and symmetric. The mean of the distribution was $35.9$ points with a standard deviation of $11.6$ points. (Source: numbeo. com) see Guidance page $142 .$
a. What percentage of eastern cities would you expect to have a pollution index between $12.7$ and $59.1$ points?
b. What percentage of eastern cities would you expect to have a pollution index between $24.3$ and $47.5$ points?
c. The pollution index for New York, in 2017 was $58.7$ points. Based on this distribution, was this unusually high? Explain.
        
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Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
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In 2017 a pollution index was calculated for a sample of cities in the eastern states using data on air and water pollution. Assume the distribution of pollution indices is unimodal and symmetric. The mean of the distribution was $35.9$ points with a standard deviation of $11.6$ points. a. What percentage of eastern cities would you expect to have a pollution index between $12.7$ and $59.1$ points? b. What percentage of eastern cities would you expect to have a pollution index between $24.3$ and $47.5$ points? c. The pollution index for New York, in 2017 was $58.7$ points. Based on this distribution, was this unusually high? Explain.
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Transcript

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00:01 Hey there, welcome to numerate.
00:04 We are given a unimodal and symmetric distribution here, in which we have our population mean equaling to 35 .9 points and a population standard deviation that equals 11 .6 points.
00:22 So we're basically looking at the pollution index for a sample of cities here.
00:28 So starting with our setup here, we know this follows our empirical rule.
00:36 So we can use our empirical rule to estimate our following percentages here.
00:43 So we have one standard deviation, two standard deviations, and three standard deviations.
00:57 So with this here, one standard deviation away gives us a percentage of 68 .27%.
01:09 2 standard deviations, 95 .45%, and 3 standard deviations is 99 .73%.
01:20 So let's start with part a here and see how far the values are from the mean.
01:28 So for part a, we have the probability between 12 .7 and 59 .1.
01:42 So we can just take one of these limits here and calculate our z score to see how many standard deviations it is away from the mean.
01:52 So let's take the upper one here and then subtract it to our mean, 35 .9, divided by our standard deviation, 11 .6.
02:05 Therefore, this will give us a z score here.
02:10 That equals.
02:12 So within two, we know that it is 68 .2.
02:17 Percent for one and a two is 95 .45 % here for part a.
02:27 All right.
02:29 Let's try part b.
02:31 We're doing the same thing here, trying to identify this z score first.
02:35 So what we have is between 24 .3 and 47 .5...
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