Students of two sections $A$ and $B$ of a class show the following results in a test conducted for $100$ marks. Then
Section $A$ Section $B$
Number of students $50$ $60$
Average marks in the test $45$ $45$
Variance of distribution of marks $64$ $81$

  • A
    variability of section $B >$ variability of section $A$
  • B
    variability of section $A >$ variability of section $B$
  • C
    variability of section $A = $ variability of section $B$
  • D
    The data is not sufficient to compare the variability of the sections

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Similar Questions

What is the formula for finding the coefficient of variation,given $\sigma = \text{standard deviation}$ and $\bar{x} = \text{mean} \neq 0$?

The variance of the following continuous frequency distribution is
$\begin{array}{|l|c|c|c|c|}\hline \text{Class interval} & 0-4 & 4-8 & 8-12 & 12-16 \\ \hline \text{Frequency} & 2 & 3 & 2 & 1 \\ \hline\end{array}$

If the variance of the frequency distribution is $160$,then the value of $c \in N$ is
$X$ $c$ $2c$ $3c$ $4c$ $5c$ $6c$
$f$ $2$ $1$ $1$ $1$ $1$ $1$

Two dice $A$ and $B$ are rolled. Let the numbers obtained on $A$ and $B$ be $\alpha$ and $\beta$ respectively. If the variance of $\alpha - \beta$ is $\frac{p}{q}$,where $p$ and $q$ are coprime,then the sum of the positive divisors of $p$ is equal to

The coefficient of variation for the frequency distribution is
$x_i$$4$$3$$1$
$f_i$$1$$3$$5$

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