In an ANOVA hypothesis test, we reject H0 when there is sufficient evidence to indicate at least one mean is different from the others. a. True
b. False

True

Step-by-step explanation:

When conducting Analysis of Variance test (ANOVA) ; our hypothesis are stated as follows ;

The null hypothesis; H0 ; stats that there is no difference in means between any of the population ;

H0 : μ1 = μ2

While the alternative hypothesis which is the opposite of the null hypothesis will be of the claim that ; atleast one of the population means is different from another.

Hence, once there is sufficient evidence to indicate that atleast one of the population means is different from another, then we reject the Null.

As such, in first quadrant, both the coordinates (x and y) are positive and both are negative in third quadrant. In second quadrant, y is positive and x is negative, while in fourth quadrant x is positive and y is negative, As (-4, -2) has both x and y coordinates negative, it will be found in third quadrant

Step-by-step explanation: