For a data set having 100 observations, mean, median, mode are 50, 60, 70 respectively. If the largest 50 observations are increased by 10, then sum of new mean, median, mode equals
If a variable \(x\) takes values \(0, 1, 2, \ldots, n\) with frequencies proportional to the binomial coefficients \({}^nC_0, {}^nC_1, {}^nC_2, \ldots, {}^nC_n\), then \(\text{var}(X)\) 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
The mean of 5 observations \(x_1, x_2, x_3, x_4, x_5\) is 5 and their variance is 124. If three of the observations are 3, 4, and 11, find \(\displaystyle\sum_{i=1}^{5}|x_i - 5|\).
If the standard deviation of 0, 1, 2, 3, ..., 9 is \(K\), then the standard deviation of 10, 11, 12, 13, ..., 19 is
If a variable takes the discrete values \(\alpha - 4\), \(\alpha - \dfrac{7}{2}\), \(\alpha - \dfrac{5}{2}\), \(\alpha - 3\), \(\alpha - 2\), \(\alpha + \dfrac{1}{2}\), \(\alpha - \dfrac{1}{2}\), \(\alpha + 5\) \((\alpha > 0)\), then the median is
Consider 10 observations $x_1,x_2,\ldots,x_{10}$ such that $\displaystyle\sum_{i=1}^{10}(x_i-\alpha)=2$ and $\displaystyle\sum_{i=1}^{10}(x_i-\beta)^2=40$, where $\alpha,\beta$ are positive integers. Let the mean and the variance of the observations be $\dfrac{6}{5}$ and $\dfrac{84}{25}$ respectively. Then $\dfrac{\beta}{\alpha}$ is equal to:
Let the median and the mean deviation about the median of 7 observations $170,125,230,190,210,a,b$ be $170$ and $\dfrac{205}{7}$ respectively. Then the mean deviation about the mean of these 7 observations is:
If the mean of the data: 7, 8, 9, 7, 8, 7, \(\lambda\), 8 is 8, then the variance of this data is
Let \(x_1, x_2, \ldots, x_n\) be \(n\) observations, and let \(\bar{x}\) be their arithmetic mean and \(\sigma^2\) be their variance.Statement-1: Variance of \(2x_1, 2x_2, \ldots, 2x_n\) is \(4\sigma^2\).Statement-2: Arithmetic mean of \(2x_1, 2x_2, \ldots, 2x_n\) is \(4\bar{x}\).
If the standard deviation of the numbers \(-1, 0, 1, k\) is \(\sqrt{5}\) where \(k > 0\), then \(k\) is equal to \(2\sqrt{\dfrac{10}{3}}\). (Find the value of \(a\) such that the standard deviation of four numbers \(2, 4, a, 121\) along with other given constraints equals 3.5, i.e., \(3a^2 - 32a + 84 = 0\).) The standard deviation of four observations is 3.5, where \(\sum x_i^2 = 4 + 9 + a^2 + 121\) and \(\sum x_i = 16 + a\). Find \(a\).
If mean and standard deviation of 5 observations \(x_1, x_2, x_3, x_4, x_5\) are 10 and 3, respectively, then the variance of 6 observations \(x_1, x_2, \ldots, x_5\) and \(-50\) is equal to ______.