A one-way ANOVA is to be performed. Independent random samples are taken from two populations. The sample data are depicted in the dotplot below. Is it reasonable to conclude that the difference between the sample means is due to a difference between the population means and not to variation within the populations? Do you think the null hypothesis would be rejected? Explain your thinking. Sample from population 1 $$ (\text { mean }=15 \text { ) } $$ Sample from population 2 $$ \text { (mean }=17.25) $$

Question

A one-way ANOVA is to be performed. Independent random samples are taken from two populations. The sample data are depicted in the dotplot below. Is it reasonable to conclude that the difference between the sample means is due to a difference between the population means and not to variation within the populations? Do you think the null hypothesis would be rejected? Explain your thinking.      Sample from population 1 $$ (\text { mean }=15 \text { ) } $$    Sample from population 2 $$ \text { (mean }=17.25) $$

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The Answer of A one-way ANOVA is to be performed. Independent random samples are taken from two populations. The sample data are depicted in the dotplot below. Is it reasonable to conclude that the difference between the sample means is due to a difference between the population means and not to variation within the populations? Do you think the null hypothesis would be rejected? Explain your thinking.      Sample from population 1 $$ (\text { mean }=15 \text { ) } $$    Sample from population 2 $$ \text { (mean }=17.25) $$

A One-Way ANOVA Is to Be Performed ( mean =15 ) (\text { mean }=15 \text { ) } ( mean =15 )

A One-Way ANOVA Is to Be Performed $(\text { mean }=15 \text { ) }$