Answer:
200 hats
cost = 65.16
Step-by-step explanation:
There are 60 baseball caps and 30% of all hats are baseball caps
baseball caps = hats times percentage baseball caps
60 = hats * 30%
60 = hats *.30
Divide each side by .30
60/.30 = hats *.30/30
200 = hats
There are 200 hats in the store
We want to buy 2 blue baseball hats at 30 each at 8.6% sales tax
The cost of the hats is
2*30 = 60
Now we need to find the tax
tax = cost * sales tax rate
tax = 60 * 8.6%
tax = 60 *.086
tax = 5.16
The total cost is the cost of the hats plus the tax
total cost = cost + tax
=60+5.16
=65.16
There are 10 chips altogether. 4 of them are white.
4/10 is the chance of lifting out a white chip
There are 3 of them left and 9 chips altogehter.
4/10 * 3/9
12/90
4/30
2/15
Comment
(my edit) it is not that 2/15 is wrong (although it is not entirely right).
1/3 is the correct answer if you assume that what happened during the first draw has nothing to do with what will happen on the second. It is like saying if you throw 11 heads in a row with a fair coin, what are the chances of throwing a heads on the 12th throw? The answer is 1/2. That is the same kind of question you have asked.
The two of us who have responded have really responded to what are the chances of drawing 2 white chips. The question really does not restrict us in a way that prevents us from saying that. I'll stick with
B <<<< answer
but I think it would be nice if the writer of the question made it clear that 1/3 should be the proper answer. I am glad you came back and posted the right answer. It makes me think.
The semi right answer is B <<<<----
If my reasoning bothers anybody, I'll reedit again. I'm only leaving it because sometimes a mistake is more instructive than a given answer.
The square root of 216 is 16 because 16 . 16 = 216
but
The square root of 216a = 16√a, because a have no exponent
144 square inches are in 1 square foot. 12 inches are in 1 foot. Remember, it says “squared”.So, the answer is 144 sq. inches. Hope this helped!
Answer:
The probability that the mean of this sample is less than 16.1 ounces of beverage is 0.0537.
Step-by-step explanation:
We are given that the average amount of a beverage in randomly selected 16-ounce beverage can is 16.18 ounces with a standard deviation of 0.4 ounces.
A random sample of sixty-five 16-ounce beverage cans are selected
Let = <u><em>sample mean amount of a beverage</em></u>
The z-score probability distribution for the sample mean is given by;
Z = ~ N(0,1)
where, = population mean amount of a beverage = 16.18 ounces
= standard deviation = 0.4 ounces
n = sample of 16-ounce beverage cans = 65
Now, the probability that the mean of this sample is less than 16.1 ounces of beverage is given by = P( < 16.1 ounces)
P( < 16.1 ounces) = P( < ) = P(Z < -1.61) = 1 - P(Z 1.61)
= 1 - 0.9463 = <u>0.0537</u>
The above probability is calculated by looking at the value of x = 1.61 in the z table which has an area of 0.9591.