Find S.D and M.D of the given value. \[160,160,161,162,163,163,164,164,170\] .
Answer
585.9k+ views
Hint: For solving this type of question we have to know the first standard deviation and mean deviation. The formula for finding it will be the square root of the variance. And for variance, it will be the square of the average of the squared differences from the mean. So for the standard deviation, it will be the square root of the variance.
Formula used:
The variance will be calculated by,
${\sigma ^2} = \dfrac{{{{\sum {\left( {x - \bar x} \right)} }^2}}}{{n - 1}}$
$\sigma $ , will be the variance
$x$ , will be the first term
$\bar x$ , will be the next term
$n$ , will be the number of terms
Standard deviation,
$Standard{\text{ deviation = }}\sqrt {Variance} $
Mean deviation,
$M.D = \dfrac{{\sum x }}{N}$
Complete step-by-step answer:
So we have the series given as \[x = 160,160,161,162,163,163,164,164,170\]
So the, $\sum x = 160 + 160 + 161 + 162 + 163 + 163 + 164 + 164 + 170$
So on adding it, we will get the series as
\[\sum x = 1,467\]
Here, we have $N = 9$
Therefore, $M.D = \dfrac{{\sum x }}{N}$
On substituting the values, we get
$M.D = \dfrac{{\sum {1,467} }}{9}$
On solving the above division, we get
$M.D = 163$
Hence, the mean deviation will be equal to $163$ .
Now we will calculate the variance,
${\sigma ^2} = \dfrac{{{{\sum {\left( {x - \bar x} \right)} }^2}}}{{n - 1}}$
Now on substituting the values, we get
\[{\sigma ^2} = \dfrac{{{{\left( {160 - 160} \right)}^2} + {{\left( {161 - 160} \right)}^2} + {{\left( {162 - 161} \right)}^2} + {{\left( {163 - 162} \right)}^2} + {{\left( {163 - 163} \right)}^2} + {{\left( {164 - 163} \right)}^2} + {{\left( {164 - 164} \right)}^2} + {{\left( {170 - 164} \right)}^2}}}{{9 - 1}}\]
Now on solving it, we will get
$\Rightarrow$ ${\sigma ^2} = \dfrac{{{0^2} + {1^2} + {1^2} + {1^2} + {0^2} + {0^2} + {6^2}}}{8}$
Now on adding, we get
$\Rightarrow$ ${\sigma ^2} = \dfrac{{0 + 1 + 1 + 1 + 0 + 0 + 36}}{8}$
And on solving we get
$\Rightarrow$ ${\sigma ^2} = \dfrac{{39}}{8}$
So S.D will be calculated by the formula $Standard{\text{ deviation = }}\sqrt {Variance} $
Substituting the values, we get
$Standard{\text{ deviation = }}\sqrt {\sqrt {\dfrac{{39}}{8}} } $
Hence, the above will be the standard deviation.
Note: We should also know that the average deviation is known to be the mean deviation. Sometimes the question may come from the graph where we have to find the mean deviation and all. Here in this type of question variability will be different. The process will be the same as the above just we have to find out the numbers from the graph.
Formula used:
The variance will be calculated by,
${\sigma ^2} = \dfrac{{{{\sum {\left( {x - \bar x} \right)} }^2}}}{{n - 1}}$
$\sigma $ , will be the variance
$x$ , will be the first term
$\bar x$ , will be the next term
$n$ , will be the number of terms
Standard deviation,
$Standard{\text{ deviation = }}\sqrt {Variance} $
Mean deviation,
$M.D = \dfrac{{\sum x }}{N}$
Complete step-by-step answer:
So we have the series given as \[x = 160,160,161,162,163,163,164,164,170\]
So the, $\sum x = 160 + 160 + 161 + 162 + 163 + 163 + 164 + 164 + 170$
So on adding it, we will get the series as
\[\sum x = 1,467\]
Here, we have $N = 9$
Therefore, $M.D = \dfrac{{\sum x }}{N}$
On substituting the values, we get
$M.D = \dfrac{{\sum {1,467} }}{9}$
On solving the above division, we get
$M.D = 163$
Hence, the mean deviation will be equal to $163$ .
Now we will calculate the variance,
${\sigma ^2} = \dfrac{{{{\sum {\left( {x - \bar x} \right)} }^2}}}{{n - 1}}$
Now on substituting the values, we get
\[{\sigma ^2} = \dfrac{{{{\left( {160 - 160} \right)}^2} + {{\left( {161 - 160} \right)}^2} + {{\left( {162 - 161} \right)}^2} + {{\left( {163 - 162} \right)}^2} + {{\left( {163 - 163} \right)}^2} + {{\left( {164 - 163} \right)}^2} + {{\left( {164 - 164} \right)}^2} + {{\left( {170 - 164} \right)}^2}}}{{9 - 1}}\]
Now on solving it, we will get
$\Rightarrow$ ${\sigma ^2} = \dfrac{{{0^2} + {1^2} + {1^2} + {1^2} + {0^2} + {0^2} + {6^2}}}{8}$
Now on adding, we get
$\Rightarrow$ ${\sigma ^2} = \dfrac{{0 + 1 + 1 + 1 + 0 + 0 + 36}}{8}$
And on solving we get
$\Rightarrow$ ${\sigma ^2} = \dfrac{{39}}{8}$
So S.D will be calculated by the formula $Standard{\text{ deviation = }}\sqrt {Variance} $
Substituting the values, we get
$Standard{\text{ deviation = }}\sqrt {\sqrt {\dfrac{{39}}{8}} } $
Hence, the above will be the standard deviation.
Note: We should also know that the average deviation is known to be the mean deviation. Sometimes the question may come from the graph where we have to find the mean deviation and all. Here in this type of question variability will be different. The process will be the same as the above just we have to find out the numbers from the graph.
Recently Updated Pages
Three beakers labelled as A B and C each containing 25 mL of water were taken A small amount of NaOH anhydrous CuSO4 and NaCl were added to the beakers A B and C respectively It was observed that there was an increase in the temperature of the solutions contained in beakers A and B whereas in case of beaker C the temperature of the solution falls Which one of the following statements isarecorrect i In beakers A and B exothermic process has occurred ii In beakers A and B endothermic process has occurred iii In beaker C exothermic process has occurred iv In beaker C endothermic process has occurred

Master Class 10 Social Science: Engaging Questions & Answers for Success

Master Class 10 Science: Engaging Questions & Answers for Success

Master Class 10 Maths: Engaging Questions & Answers for Success

Master Class 10 General Knowledge: Engaging Questions & Answers for Success

Master Class 10 Computer Science: Engaging Questions & Answers for Success

Trending doubts
Explain the Treaty of Vienna of 1815 class 10 social science CBSE

In cricket, what is the term for a bowler taking five wickets in an innings?

Who Won 36 Oscar Awards? Record Holder Revealed

What is the median of the first 10 natural numbers class 10 maths CBSE

Why is it 530 pm in india when it is 1200 afternoon class 10 social science CBSE

What is deficiency disease class 10 biology CBSE

