Step 1: Let the cost price of the manufacturer be \( C \).
Step 2: The manufacturer sells the item to the wholesaler at a 20% profit:
\[ \text{Wholesaler's Cost} = C + 0.2C = 1.2C \]
Step 3: The wholesaler sells the item to the retailer at a 20% profit:
\[ \text{Retailer's Cost} = 1.2C \times 1.2 = 1.44C \]
Step 4: The retailer sells the item to the consumer at a 20% profit:
\[ \text{Consumer's Cost} = 1.44C \times 1.2 = 1.728C \]
Step 5: The percentage increase in price from manufacturer to consumer:
\[ \frac{(1.728C - C)}{C} \times 100 = 72.8\% \]
The price increased by 72.8%.
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 |