$x_i$ 1 2 3 ... $n$ $f_i$ 1 $2^{-1}$ $2^{-2}$ ... $2^{-(n-1)}$
The question provides a discrete distribution with values $x_i$ and corresponding frequencies $f_i$. We need to calculate the mean ($\bar{x}$) of this distribution.
The data given is:
We can rewrite the frequencies as:
$ f_i = \frac{1}{2^{i-1}} $
The mean ($\bar{x}$) of a discrete distribution is defined as the sum of the products of each value and its corresponding frequency:
$ \bar{x} = \sum_{i=1}^{n} x_i f_i $
Substitute the given $x_i$ and $f_i$ values into the formula:
$ \bar{x} = \sum_{i=1}^{n} i \cdot \frac{1}{2^{i-1}} $
Let's write out the terms of the sum:
$ \bar{x} = \left( 1 \cdot \frac{1}{2^{1-1}} \right) + \left( 2 \cdot \frac{1}{2^{2-1}} \right) + \left( 3 \cdot \frac{1}{2^{3-1}} \right) + \dots + \left( n \cdot \frac{1}{2^{n-1}} \right) $
$ \bar{x} = \left( 1 \cdot \frac{1}{2^0} \right) + \left( 2 \cdot \frac{1}{2^1} \right) + \left( 3 \cdot \frac{1}{2^2} \right) + \dots + \left( n \cdot \frac{1}{2^{n-1}} \right) $
$ \bar{x} = 1 + \frac{2}{2} + \frac{3}{4} + \dots + \frac{n}{2^{n-1}} $
The sum we need to calculate is an arithmetico-geometric series. Let $S_n$ represent this sum:
$ S_n = 1 + \frac{2}{2} + \frac{3}{4} + \dots + \frac{n}{2^{n-1}} $
Let $r = \frac{1}{2}$. Then the series can be written as:
$ S_n = \sum_{i=1}^{n} i \cdot r^{i-1} = 1 + 2r + 3r^2 + \dots + nr^{n-1} $
To find the sum $S_n$, we use a standard method. Multiply the entire series by $r$:
$ rS_n = r + 2r^2 + 3r^3 + \dots + (n-1)r^{n-1} + nr^n $
Now, subtract $rS_n$ from $S_n$:
$ S_n - rS_n = (1 + 2r + 3r^2 + \dots + nr^{n-1}) - (r + 2r^2 + \dots + nr^n) $
Group the terms:
$ S_n(1-r) = 1 + (2r-r) + (3r^2-2r^2) + \dots + (nr^{n-1} - (n-1)r^{n-1}) - nr^n $
$ S_n(1-r) = 1 + r + r^2 + \dots + r^{n-1} - nr^n $
The sum $1 + r + r^2 + \dots + r^{n-1}$ is a finite geometric series. Its sum is $\frac{1 - r^n}{1 - r}$.
$ S_n(1-r) = \frac{1 - r^n}{1 - r} - nr^n $
Now, substitute $r = \frac{1}{2}$. This means $1-r = \frac{1}{2}$:
$ S_n \left( \frac{1}{2} \right) = \frac{1 - \left(\frac{1}{2}\right)^n}{\frac{1}{2}} - n \left(\frac{1}{2}\right)^n $
Simplify the equation:
$ \frac{S_n}{2} = 2 \left( 1 - \frac{1}{2^n} \right) - \frac{n}{2^n} $
$ \frac{S_n}{2} = 2 - \frac{2}{2^n} - \frac{n}{2^n} $
$ \frac{S_n}{2} = 2 - \frac{n+2}{2^n} $
To find $S_n$, multiply both sides by 2:
$ S_n = 2 \left( 2 - \frac{n+2}{2^n} \right) $
$ S_n = 4 - \frac{2(n+2)}{2^n} $
Simplify the fraction:
$ S_n = 4 - \frac{n+2}{2^{n-1}} $
To express this as a single fraction with the denominator $2^{n-1}$:
$ S_n = \frac{4 \cdot 2^{n-1}}{2^{n-1}} - \frac{n+2}{2^{n-1}} $
$ S_n = \frac{2^2 \cdot 2^{n-1} - (n+2)}{2^{n-1}} $
$ S_n = \frac{2^{n+1} - n - 2}{2^{n-1}} $
The calculated mean ($\bar{x}$) of the distribution is:
$ \bar{x} = \frac{2^{n+1} - n - 2}{2^{n-1}} $
What is the total number of students whose height is less than or equal to 165 cm?
What is the median height of the class?
The height which occurs most frequently in the class is
The most appropriate graphical representation of the given frequency distribution is
Match the following:
| (a) Marginalist Revolution | (i) Samuelson |
| (b) Multiplier-Accelerator model | (ii) J. R. Hicks |
| (c) IS-LM curves | (iii) Jevous |
| (d) Real Business Cycle | (iv) Robert J. Borro |
Choose the correct option from those given below:
As per the SRS Bulletin of September 2017, the estimated death rate for Kerala is 7.6, while for Bihar it is 6. From these data which is the correct inference to draw?
Arrange the following States in descending order according to Maternal Mortality Ratio (MMR) as per the Special Bulletin of SRS, May, 2018:
(i) Assam
(ii) Bihar
(iii) Madhya Pradesh
(iv) Uttar Pradesh
Choose the correct answer from the code given below :
Which of the following statements is true for the Indian economy according to the World Bank figures for 2017?
Harrod's Growth model is given as under:
\(\begin{array}{ll} \mathrm{S}_{\mathrm{t}}=\alpha \mathrm{Y}_{\mathrm{t}} & 0<\alpha<1 \\ \mathrm{I}_{\mathrm{t}}=\beta\left[\mathrm{Y}_{\mathrm{t}}-\mathrm{Y}_{\mathrm{t}-1}\right] & \beta>0 \\ \mathrm{~S}_{\mathrm{t}}=\mathrm{I}_{\mathrm{t}} & \end{array}\)
where S t = Savings, Y t = Income, l t = Investment, t = time
In this model for economic growth, the condition for economic growth is