12 divided by 3 is 4
if 2 of each of these is stripped that means 8/12 are striped
Suppose the spinner lands on <em>a</em>. There's a 1/3 chance that it'll land on <em>a</em> the second time.
Suppose the spinner lands on <em>b</em>. There's a 1/3 chance that it'll land on <em>b</em> the second time.
Suppose the spinner lands on <em>c</em>. There's a 1/3 chance that it'll land on <em>c</em> the second time.
We've covered all possibilities for the first spin, and they're all equal, so their average is 1/3.
The probability that it'll land on the same letter twice is 33.3%.
The sample size is 124.93 of them are opposed to new shopping center.
So,
n = 124
p =
The point estimate of the population proportion = p = 0.75q = 1 - p = 0.25
Margin of error (E) can be calculated by:

Using the values, we get:
Therefore, the margin of error is approximately 0.06 or 6%.
From the information given,
3 pounds = $18
Therefore, 1 pound = 18/3 = $6 (this can be treated as a constant of proportionality) such that,
Cost,C = 6*Weight, W (pounds)
Equation;
C = 6W, where C = Cost in $, and W = Weight in pounds.
Answer:


Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solutio to the problem
Let X the random variable that represent the amount of beer in each can of a population, and for this case we know the distribution for X is given by:
Where
and
For this case we select 6 cans and we are interested in the probability that the total would be less or equal than 72 ounces. So we need to find a distribution for the total.
The definition of sample mean is given by:

If we solve for the total T we got:

For this case then the expected value and variance are given by:


And the deviation is just:

So then the distribution for the total would be also normal and given by:

And we want this probability:

And we can use the z score formula given by:

