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Question

{}^{n}C_{1}

{}^{n}C_{n}

এর মান যথাক্রমে-

1 & n

\frac{n}{n - 1} & 1

n & 1

1 & \frac{n}{n - 1}

ANSWER : 3

Descrption

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"></figure>

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