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:
My day is going good so far
Anyways, the answer is 7 21/25
Step-by-step explanation:
4 + 8/5 + 8/5 + 16/25 =
4 + 16/5 + 16/25 =
4 + 80/25 + 16/25 =
4 + 96/25 =
4 + 3 + 21/25 =
7 + 21/25 =
7 21/25
Answer:
No it is not satisfied
Step-by-step explanation:
The one-way ANOVA is used to measure whether the difference between the means of two independent groups are statistically significant.
For it to be satisfied, there has to be one independent variable which is categorical and one dependent variable. The dependent variable on its own has to be a continuous variable
The assumptions are:
1. Equal variance between population
2. Independence between observations
3. The random samples have to be gotten from a normal population.
B i cant really tell how because thats hard for me to do but it is b
