A large outlier could affect the data set because it could make the mean larger, which just means that the average number of the set would be a lot bigger than it already is.
An example would be: 1, 3, 5, 19
19 is obviously the large outlier, so to find the mean, we would add everything together then divide by 4.
The mean would be 28/4=7 So 7 is our mean, but if the large outlier were, let's say 50, then the mean would be way larger than it already is.
~Hope this helped!~
Answer:
C). 0.83193
Step-by-step explanation:
There are total of 90 passengers of which 27 are for business.
The probability of passengers for business = 27/90
The probability of passengers for business p = 0.3
The probability of passengers not for business q = 1-The probability of passengers for business
= 1-0.3
= 0.7
Random sample of 5 passenger, probability of at least one business passenger = 1 - probability of no business passenger
probability of no business passenger
= 5C0(0.3)^0 * (0.7)^5
= 1 *1*0.16807
= 0.16807
probability of at least one business passenger = 1 - probability of no business passenger
= 1-0.16807
=0.83193
Answer:
notttaaa
Step-by-step explanation:
8:15 am is the answer because if u add up all of the timings it will become an hour and a half
And when u minus an hour and a half from 10:45 u get 8:15
Answer:

Step-by-step explanation:
The rate of change is a measure of the slope
Calculate the slope m using the slope formula
m = 
with (x₁, y₁ ) = (29, 9) and (x₂, y₂ ) = (33, 10)
m =
=
← rate of change