Hey there!
An outlier in a data set is a number that is WAY larger or WAY smaller than the others in the data set, or does not really fit in the specified "range". In the first one, 452 is way greater than everything else, so it would be the outlier.
In the second data set, 5 would be our outlier because it is much smaller than all the other numbers.
In the last data set, the numbers are pretty close together, but we need to find one that isn't inside the small range. 0.201 appears to be the outlier in this case.
Therefore, here are your answers :)
15: 452
16: 5
17: 0.201
I hope this helps!
Answer:
1/20 or 0.05
Step-by-step explanation:
<u>The probability of getting yellow</u>:
<u>The probability of getting a lion rubber band</u>:
<u>The probability of getting two events (getting yellow, getting a lion) are independent, so we have to multiply the two probabilities to get</u>:
- (1/5) × (1/4)
- 1/20 or 0.05
Answer:
Irrational
Step-by-step explanation:
The square root of 16.45 would be a number that will never end, making it irrational.
9000 is the answer because it is less than 500 and is in the 9 thousand position
X = shorts and y = socks
2x + 3y = 33
x + 5y = 27.....multiply by -2
------------
2x + 3y = 33
-2x - 10y = - 54 (result of multiplying by -2)
------------------add
-7y = - 21
y = -21/-7
y = 3
x + 5y = 27
x + 5(3) = 27
x + 15 = 27
x = 27 - 15
x = 12
so shorts (x) cost $12 and socks (y) cost $ 3 per pack
