In a study, subjects are randomly assigned to one of three groups: control, experimental A, or experimental B. After treatment, the mean scores for the three groups are compared. The appropriate statistical test for comparing these means is:

The appropriate statistical test for comparing these means is Analysis of variance.

ANOVA stand for Analysis of variance. It is a statistical models and its associated estimation procedures are used to analyze the differences among means.

It simply provides a statistical test for two or more population to check if the means are equal or not, and therefore generalizes the t-test beyond two means.

Hence, the appropriate statistical test for comparing these means is Analysis of variance.

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Analysis of variance

Step-by-step explanation:

The appropriate statistical tool for this is the analysis of variance. The analysis of variance, also known as the ANOVA, is a statistical method which has the ability to separate data from observed variance into various components which is then use for more tests.

The anova gives an analysis of the differences that are in the group means of a sample.

u what ?

step-by-step explanation:

75

step-by-step explanation:

you do x-29=46 (the number of cantaloupes sold)

in order to find x, you have to find what minus 29 equals 46, meaning you'd have to add 29 to 46.

29+46=75

if you replace x with 75, the equation looks like:

75-29=46

x=75