Answer:
Step-by-step explanation:
Hope this helps :)
Answer:
3x - 20 = 13
Step-by-step explanation:
1. The word is signals the equal sign.
The difference of three times a number and 20 = 13
2. The word difference signals subtraction.
3. The phrase a number sigals that the number is unknown, so a variable should be used. In this case, I'll use x.
4. Three times that number = 3x.
The difference = subtraction.
3x-20=13
Answer:
Maria's book was 8 days late
Step-by-step explanation:
According to the information given, you can write an equation that states that 15¢ multiply for the number of days that the book was late plus $2 is equal to $3.20:
0.15x+2= 3.20
x= number of days that the book was late
Now, you have to solve for x:
0.15x= 3.20-2
0.15x= 1.20
x= 1.20/0.15
x= 8
The book was 8 days late.
<h3><u>
Answer:</u></h3>
<h3><u>
Step-by-step explanation:</u></h3>
<u>We can clearly see that the triangle is an isosceles triangle. This also means that y must equal to 180 - 115. Let's solve.</u>
- => x + y + 180 - 115 = 180
- => x + y + 65 = 180
<u>Since 180 - 115 equals 65, this means that </u><u>y = 65.</u>
- => x + 65 + 65 = 180
- => x + 130 = 180
- => x = 180 - 130
- => x = 50
<h3><u>Conclusion:</u></h3>
<u>Therefore, our answers are:</u>
Hoped this helped.

Answer:

And we can use the probability mas function and we got:
Step-by-step explanation:
Previous concepts
The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".
Solution to the problem
Let X the random variable of interest, on this case we now that:
The probability mass function for the Binomial distribution is given as:
Where (nCx) means combinatory and it's given by this formula:
And we want this probability:

And we can use the probability mas function and we got: