$x_i$ 1 2 3 ... $n$ $f_i$ 1 $2^{-1}$ $2^{-2}$ ... $2^{-(n-1)}$
The problem asks us to find the value of the summation \(\sum_{i=1}^n x_i f_i\), where the terms \(x_i\) and \(f_i\) are defined as follows:
Let's write out the terms of the sum:
The summation \(S\) can be expressed as:
\(S = \sum_{i=1}^n x_i f_i = 1 \cdot (1) + 2 \cdot (2^{-1}) + 3 \cdot (2^{-2}) + \dots + n \cdot (2^{-(n-1)})\)This can be rewritten as:
\(S = 1 + \frac{2}{2} + \frac{3}{2^2} + \frac{4}{2^3} + \dots + \frac{n}{2^{n-1}}\)This series is an example of an arithmetico-geometric series. This type of series is the product of terms from an arithmetic progression and a geometric progression.
To find the sum \(S\), we can use a standard method for arithmetico-geometric series. Let the common ratio of the geometric part be \(r = \frac{1}{2}\).
Comparing our derived sum \(S = \frac{2^{n+1} - n - 2}{2^{n-1}}\) with the given options, we find it matches option 2.
What is the median height of the class?
What is the total number of students whose height is less than or equal to 165 cm?
The height which occurs most frequently in the class is
| LIST-I | LIST-II | |
| A. Sampling error | I. | Values that describe the characteristics of a population |
| B. Parameters | II. | The standard deviation of the sampling distribution |
| C. Sampling fraction | III. | Variation among sample statistics due to change |
| D. Standard error | IV. | Proportion of the population contained in a sample |
Given below are two statements one is labelled as Assertion (A) and the other is labelled as
Reason (R).
Assertion (A): Additive model considers the total of various components resulting in the given
values of the over all time series and it is stated as:
$Y=T+C+S+I$
Reason (R): Multiplicative model assumes that the various components interact in a
multiplicative manner to produce the given values of the over all time series and
can be stated as $Y=T \times C \times S \times I$
In the light of the above statements, choose the most appropriate answer from the options given
below:
Match List - I with List - II.
| List - I | List - II |
| A. Sample proportion P = x/n | I. $\frac{\sigma}{\sqrt{n}}$ |
| B. Sample variance $S_1^2 = \frac{1}{n-1} \sum_{i=1}^{n}(xi-x̄)^2$ | II. $\sigma^2 \sqrt{\frac{2}{n}}$ |
| C. Sample variance $S^2 = \frac{1}{n} \sum_{i=1}^{n}(xi-x̄)^2$ | III. $\sigma^2 \sqrt{\frac{2}{(n-1)}}$ |
| D. Sample mean $\bar{x} = \frac{1}{n} \sum_{i=1}^{n}xi$ | IV. $\sqrt{\frac{\pi(1-\pi)}{n}}$ |
Choose the correct answer from the options given below :