I believe the answer is b
Answer:
A. 2,310 sq ft
Step-by-step explanation:
<u>R</u><u>e</u><u>c</u><u>t</u><u>e</u><u>n</u><u>g</u><u>l</u><u>e</u><u> </u><u>b</u><u>e</u><u>l</u><u>o</u><u>w</u><u>:</u>
- A = l × b
- A = 74 × 15
- A = 1,110ft
<u>Rectangle Above</u><u>:</u>
- A = l × b
- A = 50 × 24
- A = 1,200ft
<u>A</u><u>r</u><u>e</u><u>a</u><u> </u><u>o</u><u>f</u><u> </u><u>t</u><u>h</u><u>e</u><u> </u><u>P</u><u>l</u><u>a</u><u>y</u><u>g</u><u>r</u><u>o</u><u>u</u><u>n</u><u>d</u><u>:</u>
- 1,110ft + 1,200ft
- 1,310 sq ft (A)
The answer is 5
Here are the steps:
First off, we will be using the distance formula of

So we have the ordered pairs of (3,1) and (6,5)
Once you plug them into the formula it should look like this:

Now we do the math inside the parenthesis and end up with:

Then you multiply by the power and simplify to get:

And the

=5
So your answer is
5
Answer: 
both zeros are irrational numbers
<u>Step-by-step explanation:</u>
Note: The question would have made more sense if if it was 2/x = x - 1 but I will answer it as written.

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:
