Answer:
Step-by-step explanation:
You need to go to school sorry I don’t know I just joined sorry
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
You solve an expression for a variable if that variable sits alone on one side of the equation, and everything else is on the other side.
So, our goal is to leave 
alone on the right hand side, and move everything else to the left.
So, we start with
We multiply both sides by 3:
We divide both sides by 
To compute the required height, simply plug in the values:
