Answer:
Yolanda should have found the volume by multiplying 8 by 2/3.
Step-by-step explanation:
Step-by-step explanation:
Step 1: Write our Givens

Move the constant term ,(the term with no variable) to the right side.
Here we have a negative 7, so we add 7 to both sides

Next, we take the linear coeffeicent and divide it by 2 then square it.

Then we add that to both sides


Next, we factor the left,

we got 5 because 5 add to 10 and multiply to 25 as well.
so we get

This is called a perfect square trinomial.
Next, we take the square root of both sides

± menas that we have a positive and negative solution.
Subtract 5 form both side so we get

The greater solution is when sqr root of 32 is positive so the answer to that is

N/4 less than or equal to 5
Answer:
Let X the random variable that represent the number of children per fammili of a population, and for this case we know the following info:
Where
and
We select a sample of n =64 >30 and we can apply the central limit theorem. From the central limit theorem we know that the distribution for the sample mean
is given by:
And for this case the standard error would be:

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".
The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".
Solution to the problem
Let X the random variable that represent the number of children per fammili of a population, and for this case we know the following info:
Where
and
We select a sample of n =64 >30 and we can apply the central limit theorem. From the central limit theorem we know that the distribution for the sample mean
is given by:
And for this case the standard error would be:
