Answer:
First choice:

Explanation:
<em>The probability that the first is a man's card and the second, a woman's card</em> is calculated as the product of both probabilities, taking into account the fact that the second time the number of cards in the hat has changed.
In spite of it is said that the cards are drawn at once, since it is stated a specific order for the cards (first is a man's card and the second, a woman's card) you can model the procedure as if the cards were drawn consecutively, instead of at once.
<u>1. Probability that the first is a man's card</u>
- Number of cards in the hat = 20 (the 20 business card)
- Number of man's card in the hat: 10
- Probability = favorable oucomes / possible outcomes = 10/20 = 1/2.
<u />
<u>2. Probability that the second is a woman's card</u>
- Number of cards in the hat = 19 (there is one less card in the hat)
- Number of wonan's card in the hat: 10
- Probability = favorable oucomes / possible outcomes = 10/19.
<u>3. Probability that the first is a man's card and the second, a woman's card</u>
<u />
That is the first choice.
500 − 250 = 250 pieces left after donation
Yolanda got 180 pieces....then Enrique got 70 pieces
So he got 70 /250 = 7/25 = 28% of the remaining candy
Answer:
8+6n
Step-by-step explanation:
First, distribute the 2 into the parenthesis.
2(6)+2(3n)-4
Then, multiply the numbers.
12+6n-4
Now add(subtract in this case) the common multiples.
12-4= 8
8+6n
Since you can no longer simplify the equation, this is the answer..
8+6n
Answer:
Assuming population data

Assuming sample data

Step-by-step explanation:
For this case we have the following data given:
736.352, 736.363, 736.375, 736.324, 736.358, and 736.383.
The first step in order to calculate the standard deviation is calculate the mean.
Assuming population data

The value for the mean would be:

And the population variance would be given by:

And we got 
And the deviation would be just the square root of the variance:

Assuming sample data

The value for the mean would be:

And the population variance would be given by:

And we got 
And the deviation would be just the square root of the variance:
