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V125BC [204]
3 years ago
6

"If two cards are drawn at random without replacement from a standard deck, find the probability that the second card is a face

card, given that the first card was a queen.A. 3/13B. 4/17C. 11/51D. 5/17"
Mathematics
1 answer:
PolarNik [594]3 years ago
8 0

Answer:

C. P(F|Q) = \dfrac{11}{51}

Step-by-step explanation:

it is to be noted that the question is only asking for the probability of the 2nd card given that the first card was queen (P(F|Q)), and not asking for the probability of 1st card to be queen and 2nd card to be faced cardP(Q\,\text{and}\,F)

we can represent it in an expression:

P(Q\,\text{and}\,F) = P(Q)P(F|Q)

here P(Q) is the first event: Queen

and P(F|Q) is the second event: Faced card, given that the Queen is taken

--------------------------------

we only need to know what is P(F|Q), and that can be found directly found:

let's start with P(Q), what is the probability that the first card is a Queen? Well, there are 4 queens in a standard deck of 52 cards, so the probability should be:

P(Q) = \dfrac{4}{52}

now we have taken our queen, but we haven't put it back in the deck. so the amount of cards in the deck now are 51.

let's calculate P(F|Q),now that one queen is taken out, what is the probability of the next card to be a faced card? Well, in a standard deck there are 12 faced cards, but in our case one queen is already taken out, so there are 11 faced cards in our deck!

P(F|Q) = \dfrac{11}{51}

and this our answer!

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3 years ago
24. The cost to board a dog at a kennel varies
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8 0
3 years ago
in the unted states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches. If 16
yaroslaw [1]

Answer:

Probability that their mean height is less than 68 inches is 0.0764.

Step-by-step explanation:

We are given that in the united states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches.

Also, 16 men are randomly selected.

<em>Let </em>\bar X<em> = sample mean height</em>

The z-score probability distribution for sample mean is given by;

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

where, \mu = population mean height = 69 inches

            \sigma = population standard deviation = 2.8 inches

            n = sample of men = 16

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the mean height of 16 randomly selected men is less than 68 inches is given by = P(\bar X < 68 inches)

 P(\bar X < 68 inches) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } < \frac{68-69}{\frac{2.8}{\sqrt{16} } } ) = P(Z < -1.43) = 1 - P(Z \leq 1.43)

                                                           = 1 - 0.9236 = 0.0764

<em>Now, in the z table the P(Z  x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.43 in the z table which has an area of 0.92364.</em>

Therefore, probability that their mean height is less than 68 inches is 0.0764.

3 0
3 years ago
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