Answer:
To find GCD or HCF, just write the common factor.
Step-by-step explanation:
To find the GCF of greater numbers, you can factor each number to find their prime factors, identify the prime factors they have in common, and then multiply those together.
Two points on slide are (0, 80), (5, 40).
Step-by-step explanation:
The graph shows the side view of a waterslide and its dimensions are in feet.
First to find (0, ___) and then to find (____, 40).
In the first point <em>x</em>-coordinate is 0 and <em>y</em>-coordinate for the corresponding <em>x</em>-coordinate is 80.
In the second point <em>y</em>-coordinate is 40 and the <em>x</em>-coordinate for the corresponding <em>y</em>-coordinate is 5.
So, the two points are (0, 80), (5, 40).
<h3>
Hey!</h3>
<em><u>To solve the missing number of the original amount of gallons that were in the tank is simply by adding the two numbers we have: </u></em>
<em><u></u></em>
9+3= 12 gallons
<u><em>To make sure 12 was the original number, subtract 12 from 9. </em></u>
<u><em /></u>
<u><em>12-9= 3 gallons </em></u>
So your answer to your question is 12 gallons!
Hope this helped! °ω°
Answer:
selling 36 muffins at a discount rate of 10% off the original price
Step-by-step explanation:
Answer:
a)
b) 
c) 

So then we have:

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:
Part a
For this case we want this probability:

Part b
For this case we want this probability:

And using the probability mass function we got:

Part c
For this case we want this probability:

And we can use the complenet rule and we got:


So then we have:
