Given that the person is left with no toffees after distributing them to the fifth student.
Also given that to each student the person gave one more than half the number of toffees at that stage.
For these types of problems, better we go for backward calculation. If the person had not given \(1\) extra toffee, he would have left with that toffee.
This represents that he had \(2\) toffees at that stage. In the previous stage i.e in 4th stage he should have \((2+1)×2\) i.e \(6\) toffees in the third stage, he should have \((6+1)×2\) i.e. \(14\) toffees.
In the second stage, he should have \((14+1)×2\) i.e. \(30\) toffees.
In the first stage, he should have \((30+1)×2\) i.e. \(62\) toffees.
Hence he initially had \(62\) toffees.
Let, initially the number of toffees be \(64x\).
First child gets \(32x+1\) and \(32x-1\) are left.
Second child gets \(16x+\frac 12\) and \(16x-\frac 32\) are left.
Third child gets \(8x+\frac 14\) and \(8x-\frac 74\) are left.
Fourth child gets \(4x+\frac 18\) and \(4x-\frac {15}{8}\) are left
Fifth child gets \(2x+\frac {1}{16}\) and \(2x-\frac {31}{16}\) are left.
Given that,
\(2x-\frac {31}{16}=0\)
\(⇒ 2x=\frac {31}{16}\)
\(⇒ x=\frac {31}{2 \times 16}\)
\(⇒ x=\frac {31}{32}\)
We assumed that Initially the number of toffees,
\(=64x\)
\(=64\times \frac {31}{32}\)
\(=62\) toffees.
So, the answer is \(62\) toffees.
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 |