To solve this problem, we will first determine the expression for the general term of the given series and use it to find the sum \( S_{2025} \). Then, we will relate the information given about the arithmetic progression (A.P.) to compute the absolute difference between the 20th and 15th terms.
Thus, the absolute difference between the 20th and 15th terms of the A.P. is 25.
To solve the problem, we first need to understand the sequence \( S_n = \frac{1}{2} + \frac{1}{6} + \frac{1}{12} + \frac{1}{20} + \dots \). This is a series where each term can be expressed as \(\frac{1}{n(n+1)}\). The terms of this series can be rewritten as a telescoping series: \[ \frac{1}{n(n+1)} = \frac{1}{n} - \frac{1}{n+1} \] Thus, the sum of the series up to \( S_n \) is: \[ S_n = \left(\frac{1}{1} - \frac{1}{2}\right) + \left(\frac{1}{2} - \frac{1}{3}\right) + \left(\frac{1}{3} - \frac{1}{4}\right) + \ldots + \left(\frac{1}{n} - \frac{1}{n+1}\right) = 1 - \frac{1}{n+1} \] Therefore, \( S_{2025} = 1 - \frac{1}{2026} \). Next, we address the A.P. problem. We are given that the sum of the first six terms of an A.P. with first term \(-p\) and common difference \(p\) is \(\sqrt{2026 S_{2025}}\). The sum of the first six terms (\(S_6\)) of an A.P. is: \[ S_6 = \frac{6}{2} \times [2(-p) + 5p] = 3(-2p + 5p) = 9p \] According to the problem: \[ 9p = \sqrt{2026 \times \left(1 - \frac{1}{2026}\right)} = \sqrt{2026 - 1} = \sqrt{2025} = 45 \] Thus, \(9p = 45\) which gives us \(p = 5\). We are required to find the absolute difference between the 20th and 15th terms of the A.P.: 20th term = \(-p + 19p = 19p - p = 18p\) 15th term = \(-p + 14p = 14p - p = 13p\) The absolute difference is: \[ |18p - 13p| = |5p| = 5 \times 5 = 25 \] Therefore, the absolute difference between the 20th and 15th terms of the A.P. is 25.
Let \( T_r \) be the \( r^{\text{th}} \) term of an A.P. If for some \( m \), \( T_m = \dfrac{1}{25} \), \( T_{25} = \dfrac{1}{20} \), and \( \displaystyle\sum_{r=1}^{25} T_r = 13 \), then \( 5m \displaystyle\sum_{r=m}^{2m} T_r \) is equal to:
\[ 5m \sum_{r=m}^{2m} T_r \text{ is equal to:} \]
For a statistical data \( x_1, x_2, \dots, x_{10} \) 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: