Let Narendra’s original salary be Rs. x.
After a 50% decrease, the new salary is:
\[ \frac{x}{2} \]
Now, increasing this salary by 50%:
\[ \frac{x}{2} \times 1.5 = \frac{3x}{4} \]
Thus, the new salary is \(\frac{3x}{4}\), so Narendra loses:
\[ x - \frac{3x}{4} = \frac{x}{4} \]
\[ \frac{\frac{x}{4}}{x} \times 100 = 25\% \]
Thus, the percentage loss in salary is 25%.
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 |