Answer:
d) All of the above
Step-by-step explanation:
A one way analysis of variance (ANOVA) test, is used to test whether there's a significant difference in the mean of 2 or more population or datasets (minimum of 3 in most cases).
In a one way ANOVA the critical value of the test will be a value obtained from the F-distribution.
In a one way ANOVA, if the null hypothesis is rejected, it may still be possible that two or more of the population means are equal.
This one way test is an omnibus test, it only let us know 2 or more group means are statistically different without being specific. Since we mah have 3 or more groups, using post hoc analysis to check, it may still be possible it may still be possible that two or more of the population means are equal.
The degrees of freedom associated with the sum of squares for treatments is equal to one less than the number of populations.
Let's say we are comparing the means of k population. The degree of freedom would be = k - 1
The correct option here is (d).
All of the above
Answer:
ddddddddddddc daf a reag ehh fdsh
Step-by-step explanation:
All you do Is multiply 477 by .25 and get 119.25 add that to 477 and get 596.25= Answer.
Example:
378 • 123= x
Start- 378. Then 378. 378. 378
With- •123 ->do. •100 ->•020 -> •003
Then add the answers of the three problems. 37800+ 7560+1134
Which then you will have the answer.
