Step 1: Let the original price of the item be \( x \).
The price is first decreased by 10%, so the new price after the decrease is:
\[ x - 0.10x = 0.90x \]
Step 2: Increase the new price by 10%.
The new price after the increase is:
\[ 0.90x + 0.10 \times 0.90x = 0.90x \times 1.10 = 0.99x \]
Step 3: Determine the net effect.
The final price is \( 0.99x \), which is 99% of the original price.
Thus, the net effect on the price is a decrease of 1%.
List-I | List-II |
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(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 |