Question #54873

The mean and the standard deviation of 20 items is found to be 10 and 2
respectively. At the time of checking it was found that one items with value 8 was
incorrect. Calculate the mean and standard deviation if the wrong item is omitted.
1

Expert's answer

2015-09-22T12:56:38-0400

Answer on Question #54873 – Math – Statistics and Probability

Question

The mean and the standard deviation of 20 items is found to be 10 and 2 respectively. At the time of checking it was found that one item with value 8 was incorrect. Calculate the mean and standard deviation if the wrong item is omitted.

Solution

1) Let's first find the correct mean. By the definition of the mean we have:


xˉ=xin,\bar{x} = \frac{\sum x_i}{n},


where, xˉ\bar{x} is the mean, xi\sum x_i is the sum of the items, nn is the number of the items.

Substituting the mean and the number of the items into the formula we can calculate the sum of the items:


xi=xˉn=1020=200.\sum x_i = \bar{x}n = 10 \cdot 20 = 200.


Because one item with value 8 was incorrect and it is omitted we must subtract this item from the sum of the items:


(xi)C=2008=192.\sum (x_i)_C = 200 - 8 = 192.


Thus, we have the number of items n=19n = 19 and correct sum of the items xi=192\sum x_i = 192 and can calculate the correct mean:


xˉC=(xi)Cn=19219=10.1.\bar{x}_C = \frac{\sum (x_i)_C}{n} = \frac{192}{19} = 10.1.


2) Let's find the correct standard deviation. From the condition of the question we know that the standard deviation σ=2\sigma = 2. Then the variance σ2\sigma^2 will be:


σ2=xi2n(xin)2=22=4,\sigma^2 = \frac{\sum x_i^2}{n} - \left(\frac{\sum x_i}{n}\right)^2 = 2^2 = 4,xi220102=4,\frac{\sum x_i^2}{20} - 10^2 = 4,xi2=(4+100)20=2080.\sum x_i^2 = (4 + 100) \cdot 20 = 2080.


Because wrong item 8 is omitted we get:


(xi2)C=208082=208064=2016.\sum \left(x _ {i} ^ {2}\right) _ {C} = 2 0 8 0 - 8 ^ {2} = 2 0 8 0 - 6 4 = 2 0 1 6.


Therefore, we can calculate the correct standard deviation:


σC=(xi2)Cn((xi)Cn)2=201619(19219)2=2016191922192=144019=1.99.\sigma_ {C} = \sqrt {\frac {\sum (x _ {i} ^ {2}) _ {C}}{n} - (\frac {\sum (x _ {i}) _ {C}}{n}) ^ {2}} = \sqrt {\frac {2 0 1 6}{1 9} - (\frac {1 9 2}{1 9}) ^ {2}} = \sqrt {\frac {2 0 1 6 \cdot 1 9 - 1 9 2 ^ {2}}{1 9 ^ {2}}} = \frac {\sqrt {1 4 4 0}}{1 9} = 1. 9 9.


Answer:

1) xˉC=10.1\bar{x}_C = 10.1

2) σC=1.99\sigma_{C} = 1.99

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