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:
gay
Step-by-step explanation:
i mean it starts with a g doesnt it?
Answer:
im not completely sure but I'd say 30
Step-by-step explanation:
well I'm not sure but if they have the same base and altitude you'd think they might have the same volume, but I'm not exactly sure
Answer:
k=13.8
Step-by-step explanation:
Given function:
- 2.5k+47.4=81.9
- to find k..
<u><em>Subtract final and middle value:</em></u>
<em><u>Divide by 2.5:</u></em>
Therefore, k=13.8..
Answer:
The margin of error for a 90% confidence interval is 16.4
Step-by-step explanation:
We are given the following in the question:
Sample size, n = 25
Standard deviation = 50
Margin of error =
Putting the values, we get,
Thus, the margin of error for a 90% confidence interval is 16.4
