60 cents is closer to 50 than 75... so $6.50 is the answer.
Answer:
x = 20
y = 26
Step-by-step explanation:
40 and 2x are vertical angles, so they're equal to each other.
40 = 2x
Divide both sides by 2
x = 20
We see that 40 and 5y + 10 are a linear pair, which means they add up to 180.
5y + 10 + 40 = 180
5y + 50 = 180
5y = 130
y = 26
Answer:
The probability is 0.609
Step-by-step explanation:
Out of 46 times that the experiment was performed:
A orange chew was selected 5 times.
A apple chew was selected 23 times.
A lime chew was selected 18 times.
We can find the relative frequency of each one of them as the quotient between the number of times that a particular chew was selected, and the total number of chews.
Then for the orange ones we have a relative frequency (that can be thought as the probability) of:
Po = 5/46
For apple we get:
Pa = 23/46
For Lime we get:
Pl = 18/46
We want to find the probability that the next chew Kylie removes from the bag will be a flavor other than lime (so this is equal to the probability of getting orange plus the probability of getting apple):
P = Po + Pa = 5/46 + 23/46 = 0.609
Inverse is the opposite.
A negative value is an inverse of the same positive value and a positive value is an inverse of the same negative value.
Examples:
-2 is the inverse of 2
5 is the inverse of -5
The answer is:
f(x) = x, g(x) = -x
f(x) = -8x, g(x) = 8x
From the distribution, it seems as though the digits at fairly even frequencies, though we can test our intuition by doing a few calculations.
The mean (or average) frequency can tell us quite a bit here, and we can calculate it by adding together all of the frequencies and then dividing by the number of frequencies (in this case, 10, since we have 10 digits)
Doing that, we find
(1 + 4 + 5 + 7 + 4 + 5 + 2 + 3 + 5 + 5)/10 = 41/10 = 4.1
When we divide the number of digits (40) by 4.1, we find it equals roughly 10, which means that, *on average*, each of the 10 digits appeared about 4 times. With this knowledge in hand, it wouldn’t be too out-there to suggest that this distribution is going to tend to even out more and more as we continue to add further decimal approximations of π