One-way Analysis of Variance uses a F test to compare the variance between the treatment level means to the error variance (the pooled variance within levels). For this test, one assumption is that the observations are random samples drawn from normally distributed populations with unequal variances. TrueFalse

False

Step-by-step explanation:

The assumption of ANOVA are:

1)  the k- samples are selected randomly and independently from the respective populations

2) All the k population from which samples are drawn are normally distributed with means u1,u2, u3,

3) the observations are random samples drawn from normally distributed populations with equal variances. The technical term for this assumption is Homoscedasticity.

Failure of any assumption will impair the technique. However, minor deviations can be tolerated. Sometimes square roots and logs are used to make assumptions true.

no association

step-by-step explanation:

if you have eyes and you can use them efficiently you can see that it just looks like random dots like do a line of best fit and like they're so spread out it's such a weak association you might as well consider it nonexistent

answer: the answer is fre sha voca do

step-by-step explanation: