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The accompanying histogram shows the number of runs scored by baseball teams for three seasons. The distribution is roughly unimodal and symmetric, with 590 and a standard deviation of 69 runs. An interval one standard deviation above and below the mean is marked on the histogram. Assume the values in a bir distributed uniformly. For example, if the leftmost line is at the midpoint, then half of that bin's values are below the line and half are above. Complete parts (a) t below. Click the icon to view the histogram.

The accompanying histogram shows the number of runs scored by baseball teams for three seasons. The distribution is roughly unimodal and symmetric, with 590 and a standard deviation of 69 runs. An interval one standard deviation above and below the mean is marked on the histogram. Assume the values in a bir distributed uniformly. For example, if the leftmost line is at the midpoint, then half of that bin's values are below the line and half are above. Complete parts (a) t below. Click the icon to view the histogram.

MATLAB: An Introduction with Applications
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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Hello, I'm having a lot of trouble with section b (I forgot how to figure this out.) of this page, may I please have a step by step has to figure out the interval percentage? 

My example sheet of how to solve this problem explains that I should estimate the number of teams that fall in the interval, it gave me the numbers, 21+ 34 + 27 + 2 however I'm extremely confused as to how 21 and 2 are added to this equation. 

Histogram Frequency 30- 20- 10- to 2 500 4 600 34 27 700 R 16 2 800 3 900 LY I X
Transcribed Image Text:Histogram Frequency 30- 20- 10- to 2 500 4 600 34 27 700 R 16 2 800 3 900 LY I X
The accompanying histogram shows the number of runs scored by baseball teams for three seasons. The distribution is roughly unimodal and symmetric, with a mean of 690 and a standard deviation of 69 runs. An interval one standard deviation above and below the mean is marked on the histogram. Assume the values in a bin are distributed uniformly. For example, if the leftmost line is at the midpoint, then half of that bin's values are below the line and half are above. Complete parts (a) through (c) below. Click the icon to view the histogram. a. According to the Empirical Rule, approximately what percent of the data should fall in the interval from 621 to 759 (that is, one standard deviation above and below the mean)? Approximately 68 % of the data should fall in the interval from 621 to 759. b. Use the histogram to estimate the actual percent of teams that fall in this interval. How did your estimate compare to the value predicted by the Empirical Rule? A. 50% of the data falls in the interval from 621 to 759. The estimate is not close to the value predicted by the Empirical Rule. B. 69% of the data falls in the interval from 621 to 759. The estimate is very close to the value predicted by the Empirical Rule. C. 94% of the data falls in the interval from 621 to 759. The estimate is very close to the value predicted by the Empirical Rule.
Transcribed Image Text:The accompanying histogram shows the number of runs scored by baseball teams for three seasons. The distribution is roughly unimodal and symmetric, with a mean of 690 and a standard deviation of 69 runs. An interval one standard deviation above and below the mean is marked on the histogram. Assume the values in a bin are distributed uniformly. For example, if the leftmost line is at the midpoint, then half of that bin's values are below the line and half are above. Complete parts (a) through (c) below. Click the icon to view the histogram. a. According to the Empirical Rule, approximately what percent of the data should fall in the interval from 621 to 759 (that is, one standard deviation above and below the mean)? Approximately 68 % of the data should fall in the interval from 621 to 759. b. Use the histogram to estimate the actual percent of teams that fall in this interval. How did your estimate compare to the value predicted by the Empirical Rule? A. 50% of the data falls in the interval from 621 to 759. The estimate is not close to the value predicted by the Empirical Rule. B. 69% of the data falls in the interval from 621 to 759. The estimate is very close to the value predicted by the Empirical Rule. C. 94% of the data falls in the interval from 621 to 759. The estimate is very close to the value predicted by the Empirical Rule.
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