Let the population at the beginning of the first year be P.
At the end of the first year, the population increases by 5%, so it becomes:
\[ P \times 1.05 \]
At the end of the second year, the population again increases by 5%, so it becomes:
\[ P \times 1.05 \times 1.05 = P \times 1.05^2 \]
We are given that the population at the end of the second year is 9975:
\[ P \times 1.05^2 = 9975 \]
\[ P = \frac{9975}{1.1025} = 10000 \]
Thus, the population size at the beginning of the first year is 10,000.
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 |