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marshall27 [118]
2 years ago
3

Suppose that distinct integer values are written on each of 3 cards. These cards arethen randomly given the designations A, B, a

nd C. The values on cards A and B arethen compared. If the smaller of these values is then compared with the value on cardC, what is the probability that it is also smaller than the value on card C?
Mathematics
2 answers:
geniusboy [140]2 years ago
6 0

Answer:

P[min(A,B) < C] = (2/3)

Step-by-step explanation:

We will list the possible outcomes of assigning three distinct integers to cards A, B and C.

In our possible outcomes, we will rightly assume that the cards are arranged in the order of increasing value. That is, the first number on the first card is the least, the next one is higher than the first number but still less than the third and the third number on the third card is the highest.

The possible outcomes include

(A, B, C)

(here, A has the least integer, followed by the integer on B, then on C)

(A, C, B)

(here, A has the least integer, followed by the integer on C, then on B)

The other possible outcomes

(B, A, C)

(B, C, A)

(C, A, B)

(C, B, A)

The scope of the possible outcomes is now clear.

We require the probability that the smaller integer of A and B is also the smaller integer when compared to the integer on C.

P[min(A,B) < C]

Considering each of the outcomes one, at a time,

- [In ABC, the smaller of A & B is A, and it is smaller than C]

- [In ACB, the smaller of A & B is A, and it is still smaller than C]

- [In BAC, the smaller of A & B is B, and it is smaller than C]

- [In BCA, the smaller of A & B is A, and it is smaller than C]

- [In CAB, the smaller of A & B is A, but it isn't smaller than C]

- [In CBA, the smaller of A & B is B, but it isn't smaller than C]

Mathematically, P[min(A,B) < C]

The outcomes in which, the smaller integer of A and B are also smaller than C include

(A,B,C), (A,C,B), (B,A,C), (B,C,A)

The required probability,

P[min(A,B) < C] = (4/6) = (2/3)

Hope this Helps!!!

shusha [124]2 years ago
3 0

Answer:

Probability(min(A,B)≤C)=(1/2)+(1/2)-(1/3)=2/3

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A 90% confidence interval of the true mean is [$119.86, $123.34].

Step-by-step explanation:

We are given that an irate student complained that the cost of textbooks was too high. He randomly surveyed 36 other students and found that the mean amount of money spent on textbooks was $121.60.

Also, the standard deviation of the population was $6.36.

Firstly, the pivotal quantity for finding the confidence interval for the population mean is given by;

                              P.Q.  =  \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \bar X = sample mean amount of money spent on textbooks = $121.60

            \sigma = population standard deviation = $6.36

            n = sample of students = 36

            \mu = population mean

<em>Here for constructing a 90% confidence interval we have used One-sample z-test statistics as we know about population standard deviation.</em>

<em />

So, 95% confidence interval for the population mean, \mu is ;

P(-1.645 < N(0,1) < 1.645) = 0.90  {As the critical value of z at 5% level

                                                      of significance are -1.645 & 1.645}  

P(-1.645 < \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } < 1.645) = 0.90

P( -1.645 \times {\frac{\sigma}{\sqrt{n} } } < {\bar X-\mu} < 1.645 \times {\frac{\sigma}{\sqrt{n} } } ) = 0.90

P( \bar X-1.645 \times {\frac{\sigma}{\sqrt{n} } } < \mu < \bar X+1.645 \times {\frac{\sigma}{\sqrt{n} } } ) = 0.90

<u>90% confidence interval for</u> \mu = [ \bar X-1.645 \times {\frac{\sigma}{\sqrt{n} } } , \bar X+1.645 \times {\frac{\sigma}{\sqrt{n} } } ]

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                                      = [$119.86, $123.34]

Therefore, a 90% confidence interval of the true mean is [$119.86, $123.34].

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