Percentage

1. Initial price increase is 30%, so the new price becomes times the old price.
2. The expenditure on rice increases by 10%, so the new expenditure is times the old expenditure.
3. Before the price rise, the consumption was kg. Let the new consumption be kg.

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The linear method of depreciation, also known as straight-line depreciation, involves reducing the value of an asset uniformly over its useful life. To determine the book value of the machinery after 10 years, follow these steps:

Determine the initial cost of the machinery: ₹8,00,000.

Calculate the scrap value (residual value), which is one-tenth of the original cost:
Scrap Value = .

Find the total depreciable amount, which is equal to the original cost minus the scrap value:
Depreciable Amount = ₹8,00,000 - ₹80,000 = ₹7,20,000.

Calculate the annual depreciation using the formula:
Annual Depreciation =

Annual Depreciation = .

Determine the total depreciation over 10 years:
Total Depreciation (10 years) = 48,000 × 10 = ₹4,80,000.

Calculate the book value at the end of the 10th year:
Book Value = Original Cost - Total Depreciation.
Book Value = ₹8,00,000 - ₹4,80,000 = ₹3,20,000.

Therefore, the book value of the machinery at the end of the 10th year is ₹3,20,000.

We are given a task to match terms from List-I with their appropriate definitions in List-II. Let's analyze each pair:

(A) Confidence level should be paired with the definition that describes what it represents. Confidence level (I) is indeed the Percentage of all possible samples that can be expected to include the true population parameter. Thus, (A)-(I).

(B) Significance level is the likelihood of rejecting the null hypothesis when it is true, which matches definition (III) The probability of making a wrong decision when the null hypothesis is true. Therefore, the correct pair is (B)-(III).

(C) Confidence interval is a range of values that is likely to contain the population parameter, matching with definition (II) Range that could be expected to contain the population parameter of interest. Hence, (C)-(II).

(D) Standard error refers to the variability of the sampling distribution of a statistic, corresponding to definition (IV) The standard deviation of the sampling distribution of a statistic. Thus, (D)-(IV).

Based on these explanations, the correct matching of List-I with List-II is: (A)-(I), (B)-(III), (C)-(II), (D)-(IV).

Therefore, the correct answer is: (A)-(I), (B)-(III), (C)-(II), (D)-(IV)