Answer:
In order to find x, you will have to use the operation of equality to isolate the x.

<em>Now, use the division property of equality and divide by 15 on both sides. This will cancel out the 15 on the left side of the equation and isolate the x completely.</em>

<em>Thus, this is your answer:</em>

Answer:
<h2>10 inches</h2>
Step-by-step explanation:
Hypotenuse = h
h^2 = 8^2 + 6^2
h^2 = 64 + 36
h^2 = 100
h = √100
h = 10
<em>Hope that helps! :)</em>
<em></em>
<em>-Aphrodite</em>
Answer: 16 posters
Step-by-step explanation:
Monday - Had owned 16 posters
Tuesday - Bought 4 posters, adding up to 20
Wednesday - Half of the posters were destroyed, half of 20 is 10
Thursday - 10 posters remained.
Answer:

General Formulas and Concepts:
<u>Pre-Algebra</u>
Order of Operations: BPEMDAS
- Brackets
- Parenthesis
- Exponents
- Multiplication
- Division
- Addition
- Subtraction
<u>Algebra I</u>
- Slope Formula:

Step-by-step explanation:
<u>Step 1: Define</u>
<em>Find points from graph.</em>
Point (-2, 0)
Point (3, 4)
<u>Step 2: Find slope </u><em><u>m</u></em>
Simply plug in the 2 coordinates into the slope formula to find slope <em>m</em>.
- Substitute [SF]:

- Subtract/Add:

Explanation:
Lets interpret Z with M trials. First we have M trials, each trial can be a success or not. The number of success is called N. Each trial that is a success becomes a trial, and if it is a success it becomes a success for Z. Thus, in order for a trial to be successful, it needs first to be successful for the random variable N (and it is with probability q), and given that, it should be a success among the N trials of the original definition of Z (with probability p).
This gives us that each trial has probability pq of being successful. Note that this probability is pq independently of the results of the other trials, because the results of the trials of both N and the original definition of Z are independent. This shows us that Z is the total amount of success within M independent trials of an experiment with pq probability of success in each one. Therefore, Z has Binomial distribution with parameters pq and M.