Let \(‘a’, ‘b’, ‘p’\), and \(‘t’\) be the marks scored by Akhil and Akshay, the pass marks, and the total marks, respectively.
Given that,
\(a = (1-11.11\%)p\) = \((1-\frac{1}9)p = \frac89p\) … (1)
\(b = (1+12.5\%)p = (1+\frac{1}8)p = \frac{9}{8}p\) … (2)
Also, \(a+b = (1+25\%)t = (1+\frac{1}{4})t = \frac{5}4t\) … (3)
Substituting \((1), (2)\) in \((3)\)
\(\frac{8}9p + \frac{9}8p = \frac{5}4t\)
\(\frac{145}{72}p = \frac{5}4t\)
or, \(p = \frac{19}{29}t\)
or, \(p = 62.06\%\) of \(t\)
Hence, option E is the correct answer.
Alternatively:
Let the passing marks be \(720x\).
Akhil scored = \((1-\frac{1}{9})720x = 640x\)
Akshay scored = \((1+\frac{1}{8})720x = 810x\)
So, \(1450x = \frac{125}{100} \times\) Total marks
Total marks = \(1160x\)
So, required percentage = \(\frac{720x}{1160 x}\times 100 = 62.06\%\)
Hence, option E is the correct answer.
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 |
A | B | C | D | Average |
---|---|---|---|---|
3 | 4 | 4 | ? | 4 |
3 | ? | 5 | ? | 4 |
? | 3 | 3 | ? | 4 |
? | ? | ? | ? | 4.25 |
4 | 4 | 4 | 4.25 |