The initial monthly income is Rs. 1.5 lakhs. The annual income is:
\[ 1.5 \times 12 = 18 \text{ lakhs} \]
The new monthly income is Rs. 2.1 lakhs. The annual income becomes:
\[ 2.1 \times 12 = 25.2 \text{ lakhs} \]
The percentage increase is given by:
\[ \frac{\text{New Income} - \text{Old Income}}{\text{Old Income}} \times 100 \]
Substituting the values:
\[ \frac{25.2 - 18}{18} \times 100 \]
\[ \frac{7.2}{18} \times 100 = 40\% \]
Thus, the percentage increase is 40% (Option A).
List-I | List-II |
---|---|
(A) Confidence level | (I) Percentage of all possible samples that can be expected to include the true population parameter |
(B) Significance level | (III) The probability of making a wrong decision when the null hypothesis is true |
(C) Confidence interval | (II) Range that could be expected to contain the population parameter of interest |
(D) Standard error | (IV) The standard deviation of the sampling distribution of a statistic |