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A study was conducted to determine whether there were significant differences between medical students admitted through speci
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Answer #1

Here the graduation rate medical students is 92.2%

i.e, probability of a medical student graduate is 0.922

Let define a random variable X that represent number of medical students graduated.

If we select 11 medical students randomly,

X\sim Binomial (11,0.922)

P(X = 1) = (1975) 0.922(1 – 0.922)11-

We need to find the probability that atleast 10 of them graduated.

i.e, P(X\geq 10)

=P(X=10)+P(X=11)

(10) 11 ) 0.92210 x 0.0781 + 10 (11 10.022 0.92211 x 0.078°

=0.38088731+0.40929848

=0.79018579

\simeq 0.7902[ round to four decimal place]

The probability is 0.7902

Here we need to find P(X=8)

P(X=8)

=\binom{11}{8}0.922^8\times 0.078^3

=0.0408898126

\simeq 0.0409[ round to four decimal place ]

The probability is 0.0409

The mean and standard deviation of X is given by,

X\sim Binomial (11,0.922)

\mu=E(X)=np=11\times 0.922=10.142

\sigma=\sqrt{Var(X)}=\sqrt{np(1-p)}=\sqrt{11\times 0.922\times 0.078}=0.889424533

The usual limit of X is given by,

\therefore (\mu-2\sigma,\mu+2\sigma)

=(10.142-2\times 0.889424533,10.142+2\times 0.889424533)

=(8.3631509,11.920849)

\simeq (8.36,11.92)

So, the value of X is 8 lie in this usual interval.

Correct answer::

no, it is not unusual

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