The percent Fe content of a random sample consisting of five observations is shown:

If the mean grade of the stockpile is estimated using the above data, the standard error of the mean grade, in %, is _______ (rounded off to 3 decimal places).
Step 1: Calculate the mean of the sample. The formula for the mean is: \[ {Mean} = \frac{\sum x_i}{n} = \frac{62 + 64 + 63 + 60 + 61}{5} = \frac{310}{5} = 62.0 \] Step 2: Calculate the variance. The formula for variance is: \[ s^2 = \frac{\sum (x_i - {mean})^2}{n - 1} \] Substitute the values: \[ s^2 = \frac{(62 - 62)^2 + (64 - 62)^2 + (63 - 62)^2 + (60 - 62)^2 + (61 - 62)^2}{5 - 1} \] \[ s^2 = \frac{(0)^2 + (2)^2 + (1)^2 + (-2)^2 + (-1)^2}{4} = \frac{0 + 4 + 1 + 4 + 1}{4} = \frac{10}{4} = 2.5 \] Step 3: Calculate the standard deviation. The standard deviation \( s \) is the square root of the variance: \[ s = \sqrt{2.5} = 1.5811 \] Step 4: Calculate the standard error of the mean. The formula for the standard error of the mean is: \[ SE = \frac{s}{\sqrt{n}} = \frac{1.5811}{\sqrt{5}} = \frac{1.5811}{2.236} = 0.707 \] Step 5: Round the standard error to 3 decimal places.
Standard error = 0.832 %
The coefficient of correlation of the above two data series will be equal to \(\underline{\hspace{1cm}}\)
\[\begin{array}{|c|c|} \hline X & Y \\ \hline -3 & 9 \\ -2 & 4 \\ -1 & 1 \\ 0 & 0 \\ 1 & 1 \\ 2 & 4 \\ 3 & 9 \\ \hline \end{array}\]
Identify the median class for the following grouped data:
\[\begin{array}{|c|c|} \hline \textbf{Class interval} & \textbf{Frequency} \\ \hline 5-10 & 5 \\ 10-15 & 15 \\ 15-20 & 22 \\ 20-25 & 25 \\ 25-30 & 10 \\ 30-35 & 3 \\ \hline \end{array}\]
An electricity utility company charges ₹7 per kWh. If a 40-watt desk light is left on for 10 hours each night for 180 days, what would be the cost of energy consumption? If the desk light is on for 2 more hours each night for the 180 days, what would be the percentage-increase in the cost of energy consumption?