Statistics Questions (255)

Let $a,b,c\in\mathbb{N}$ and $a<b<c$. Let the mean, the mean deviation about the mean and the variance of the 5 observations $9,25,a,b,c$ be 18, 4 and $\dfrac{136}{5}$, respectively. Then $2a+b-c$ is equal to _____
When tested, the lives (in hours) of 5 bulbs were noted as follows: 1357, 1090, 1666, 1494, 1623. The mean deviation (in hours) from their mean is
If the mean deviation of the numbers 1, 1 + d, 1 + 2d, ..., 1 + 100d from their mean is 225, then d is equal to
If the mean deviation about the median of the numbers $k,2k,3k,\ldots,1000k$ is 500, then $k^2$ is equal to:
The mean and variance of 10 observations are 9 and 34.2, respectively. If 8 of these observations are 2, 3, 5, 10, 11, 13, 15, 21, then the mean deviation about the median of all the 10 observations is
The mean and variance of a data of 10 observations are 10 and 2, respectively. If an observation $\alpha$ in this data is replaced by $\beta$, then the mean and variance become 10.1 and 1.99, respectively. Then $\alpha+\beta$ equals
Let the mean and the standard deviation of the observation 2, 3, 3, 4, 5, 7, a, b be 4 and$\sqrt{2}$respectively. Then the mean deviation about the mode of these observations is :
If the mean of the numbers \(27 + x,\ 31 + x,\ 89 + x,\ 107 + x,\ 156 + x\) is 82, then the mean of \(130 + x,\ 126 + x,\ 68 + x,\ 50 + x,\ 1 + x\) is
The standard deviation of the following frequency distribution isX234567f491614116Find the standard deviation.
The frequency distribution of the age of students in a class of 40 students is given below. | Age | 15 | 16 | 17 | 18 | 19 | 20 | |---|---|---|---|---|---|---| | No of Students | 5 | 8 | 5 | 12 | $x$ | $y$ | If the mean deviation about the median is 1.25, then $4x+5y$ is equal to:
The variance of first 50 even natural numbers is
Let observations be \(a_1, a_2, \ldots, a_n, a_{n+1}, a_{n+2}, \ldots, a_{2n}\). If \((a_1+5), (a_2+5), \ldots, (a_n+5)\) and \((a_{n+1}-3), (a_{n+2}-3), \ldots, (a_{2n}-3)\) are the new observations, then the new mean \(\bar{x}'\) equals:
Following are the marks obtained by 9 students in a mathematics test: 50, 69, 20, 33, 53, 39, 40, 65, 59. The mean deviation from the median is
For two data sets, each of size 5, the variances are given to be 4 and 5 and the corresponding means are given to be 2 and 4, respectively. The variance of the combined data set is
Statement-1: The variance of first \(n\) even natural numbers is \(\dfrac{n^2-1}{4}\).Statement-2: The sum of first \(n\) natural numbers is \(\dfrac{n(n+1)}{2}\) and the sum of squares of first \(n\) natural numbers is \(\dfrac{n(n+1)(2n+1)}{6}\).
A number equal to 2 times the mean and with a frequency equal to $k$ is inserted in a data having $n$ observations. If the new mean is $\frac{7}{4}$ times the old mean, then the value of $\frac{k}{n}$ is
Consider the frequency distribution: Class: $0$-$10$, $10$-$20$, $20$-$30$, $30$-$40$, $40$-$50$, $50$-$60$; Frequency: $3$, $a$, $b$, $11$, $8$, $4$. If the mean is $\frac{277}{9}$ and median is $\frac{335}{11}$, then the value of $4a+b$ is
If the variance of first $n$ even natural numbers is $133$, then the value of $n$ is equal to
Find the harmonic mean of \(\frac{1}{2}, \frac{2}{3}, \frac{3}{4}, \ldots, \frac{n}{n+1}\) occurring with frequencies \(1, 2, 3, \ldots, n\), respectively.
Let the variance of first $n$ natural numbers be $a^2$. Then the variance of first $n$ integral multiple of 4 is $16a^2$ and the variance of first $n$ odd natural numbers is $4a^2$. Then, the required ratio is $\frac{V_1}{V_2}$.
For \((2n+1)\) observations \(x_1, -x_1, x_2, -x_2, \ldots, x_n, -x_n\) and \(0\), where all \(x\)'s are distinct, let SD and MD denote the standard deviation and median, respectively. Then which of the following is always true?
The mean and variance of seven observations are 8 and 16, respectively. If 5 of the observations are 2, 4, 10, 12, 14, then the product of the remaining two observations is ______.
For a given distribution of marks, the mean is 35.16 and its standard deviation is 19.76. The coefficient of variation is
The variance $\sigma^2$ of the data \begin{array}{|c|c|c|c|c|c|c|c|}\hline x_i&0&1&5&6&10&12&17\\\hline f_i&3&2&3&2&6&3&3\\\hline\end{array} is
If the variance of the frequency distribution | $x$ | $c$ | $2c$ | $3c$ | $4c$ | $5c$ | $6c$ | |---|---|---|---|---|---|---| | $f$ | 2 | 1 | 1 | 1 | 1 | 1 | is 160, then the value of $c\in\mathbb{N}$ is
The mean and variance of 20 observations are found to be 10 and 4 respectively. On rechecking, it was found that an observation 8 is incorrect. If the wrong observation is omitted, then the correct variance is
If for a sample size of 10, $\sum_{i=1}^{10}(x_i - 5)^2 = 350$ and $\sum_{i=1}^{10}(x_i - 6) = 20$, then the variance is
The mean and variance of 10 observations are found to be 10 and 4 respectively. On rechecking it was found that an observation 8 was incorrect. If it is replaced by 18, then the correct variance is
In an experiment with 8 observations on a variable, the following results are available $\sum x_i = 360$ and $\sum x = 34$. One observation that was 8, was found to be wrong and was replaced by the correct value 10, then the corrected variance is
Consider any set of observations \(x_1, x_2, x_3, \ldots, x_{101}\). It is given that \(x_1
If the sum of two numbers is $-2$ and the sum of their cubes is $0$, find the two numbers.
Given $\bar{x} = 50$ and $\sum (z_i - \bar{x})^2 = 250$, find the coefficient of variation.
If \(\bar{x}_1\) and \(\bar{x}_2\) are the means of two distributions such that \(\bar{x}_1
The mean and variance of 5 observations are 5 and 8 respectively. If 3 observations are 1, 3, 5, then the sum of cubes of the remaining two observations is
Consider data on $X$ taking values $0, 2, 4, 8, \ldots, 2^n$ with frequencies ${}^nC_0, {}^nC_1, \ldots, {}^nC_n$ respectively. If the mean of this data is $\dfrac{728}{2^n}$, then $n$ is equal to
For the frequency distribution $x_i: 2,4,6,8,10,12,14,16$ and $f_i: 4,4,\alpha,15,8,\beta,4,5$ with mean 9 and variance 15.08, then $\alpha^2+\beta^2-\alpha\beta$ is _____.
Mean and SD of 10 students are 50 and 12. Two marks 20 and 25 were wrongly read as 45 and 50. Then the correct variance is
The mean of 5 observations is 5 and their variance is 124. If three of the observations are 1, 2 and 6; then the mean deviation from the mean of the data is
If the mean and variance of the data $65,68,58,44,48,45,60,\alpha,\beta,60$ where $\alpha>\beta$ are 56 and 66.2 respectively, then $\alpha^2+\beta^2$ is equal to
Let $a_1,a_2,\ldots,a_{10}$ be 10 observations such that $\displaystyle\sum_{k=1}^{10}a_k=50$ and $\displaystyle\sum_{\forall k<j}a_k\cdot a_j=1100$. Then the standard deviation of $a_1,a_2,\ldots,a_{10}$ is equal to:
Let $M$ denote the median of the following frequency distribution: \begin{array}{|c|c|c|c|c|c|}\hline\text{Class}&0-4&4-8&8-12&12-16&16-20\\\hline\text{Frequency}&3&9&10&8&6\\\hline\end{array} Then $20M$ is equal to:
The mean and standard deviation of marks of 200 students were 40 and 15 respectively. Later it was discovered that a score of 40 was wrongly read as 50. The correct standard deviation is
Let $x_{1},x_{2},\dots,x_{10}$ be ten observations such that $\sum_{i=1}^{10}(x_{i}-2)=30$, $\sum_{i=1}^{10}(x_{i}-\beta)^{2}=98,\ \beta>2$, and their variance is $\dfrac{4}{5}$. If $\mu$ and $\sigma^{2}$ are respectively the mean and the variance of $2(x_{1}-1)+4\beta,\ 2(x_{2}-1)+4\beta,\dots,2(x_{10}-1)+4\beta$, then $\dfrac{\beta\mu}{\sigma^{2}}$ is equal to:
Marks obtained by all the students of class $12$ are presented in a frequency distribution with classes of equal width. Let the median of this grouped data be $14$ with median class interval $12$–$18$ and median class frequency $12$. If the number of students whose marks are less than $12$ is $18$, then the total number of students is:
The variance of the numbers $8,21,34,47,\dots,320$ is \rule{2cm}{0.4pt}.
For a statistical data $x_1, x_2, \ldots, x_{10}$ of 10 values, a student obtained the mean as 5.5 and $\sum_{i=1}^{10} x_i^2 = 371$. He later found that he had noted two values in the data incorrectly as 4 and 5, instead of the correct values 6 and 8, respectively. The variance of the corrected data is
Marks obtained by all the students of class 12 are presented in a frequency distribution with classes of equal width. Let the median of this grouped data be 14 with median class interval 12-18 and median class frequency 12. If the number of students whose marks are less than 12 is 18, then the total number of students is
The variance of the numbers $8, 21, 34, 47, \ldots, 320$ is
The mean and variance of 7 observations are 8 and 16 respectively. If 5 of the observations are 2, 4, 10, 12, 14, then the remaining two observations are
If the mean of the following probability distribution of a random variable $X$: | $X$ | 0 | 2 | 4 | 6 | 8 | |---|---|---|---|---|---| | $P(X)$ | $a$ | $2a$ | $a+b$ | $2b$ | $3b$ | is $\dfrac{46}{9}$, then the variance of the distribution is