Answer:
Step-by-step explanation:
The proccedure shown in the problem is applied to solve for x and calculate its value.
One of the equations shown in the problem is:
To solve for x you must_
- Add 6 to both sides of the equations:
- Then you must divide by -3:
Then the answer is:
Answer:
-3x - 6 = -9
Step-by-step explanation:
I got it right on my test
hope it helps!!
The statements that best describes its construction is:
There is one possible triangle with these side lengths.
We know that with the help of three given angle measures infinite number of triangles could be constructed with different side lengths and with the help of three gives side lengths a unique triangle is constructed.
Here we are given three side lengths as:
8 centimeters, 13 centimeters, 15 centimeters.
This means that there is only one such triangle possible.
solve for n
Answer:
n=(9v-4f)/k
Step-by-step explanation:
kn+4f=9v
kn=9v-4f
n=(9v-4f)/k
Answer:
n = (-4f + 9v) ÷ k
Step-by-step explanation:
All you have to do is... flip the equation
Most likely the numbers of red beads in the bag are 20.
Let us consider there are x red beads and (50-x) yellow beads.
So, as given in the question, Jake pulls a total of 15 beads(6 red and 9 yellow).
So, P(r)=ed bead probability
and yellow bead probability
Now, the total number of red bead
Hence, the number of red beads in the bag is most likely to be 20.
Probability is a measure of the likelihood of an event to occur. Many events cannot be predicted with total certainty. We can predict only the chance of an event to occur i.e. how likely they are to happen, using it.
The probability of an event can be calculated by probability formula by simply dividing the favorable number of outcomes by the total number of possible outcomes.
Example: toss a coin 100 times, how many Heads will come up? Probability says that heads have a ½ chance, so we can expect 50 Heads. But when we actually try it we might get 48 heads, or 55 heads ... or anything really, but in most cases it will be a number near 50.
Learn more about probability, refer to:
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