In a one-way ANOVA, what is the conclusion if the computed F statistic is greater than...
In a one-way ANOVA, what is the conclusion if the computed F statistic is greater than the critical F value?
A.Reject H0 since there is evidence all the means differ.
B. Do not reject H0 since there is no evidence of a difference in the means.
C.Reject H0 since there is evidence that not all the means are the same.
D. Do not reject H0 because a mistake has been made.
Homework Answers
In a one-way ANOVA, what is the conclusion if the computed F statistic is greater than the critical F value?
Answer:
C. Reject H0 since there is evidence that not all the means are the same.
Explanation:
We know that we reject the null hypothesis when F test statistic is greater than the critical F value. If we reject the null hypothesis then we conclude the alternative hypothesis which states that not all the means are the same versus the null hypothesis that all the means are same.
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In a one-way ANOVA, what is the conclusion if the computed F
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In a one-way ANOVA, if the computed F statistic exceeds the critical F value, we should...
In a one-way ANOVA, if the computed F statistic exceeds the critical F value, we should reject H0 since there is evidence that all the means differ reject H0 since there is evidence that at least one of the means is different from the others not reject H0 since there is no evidence of a difference in means not reject H0 because a mistake has been made.
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Consider the following hypothesis test with nequals=16 sequals=6.6 and x overbarxequals=60.9 H0: muμ equals= 57 HA:...
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Consider the partially completed one-way ANOVA summary table below. a) Complete the remaining entries in the...
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An analysis of variance experiment produced a portion of the accompanying ANOVA table. (You may find...
An analysis of variance experiment produced a portion of the
accompanying ANOVA table. (You may find it useful to
reference the F table.)
a. Specify the competing hypotheses in order to
determine whether some differences exist between the population
means.
H0: μA =
μB = μC =
μD; HA: Not all population
means are equal.
H0: μA ≥
μB ≥ μC ≥
μD; HA: Not all population
means are equal.
H0: μA ≤
μB ≤ μC ≤
μD; HA: Not...
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accompanying ANOVA table. (You may find it useful to
reference the F table.)
a. Specify the competing hypotheses in order to
determine whether some differences exist between the population
means.
H0: μA =
μB = μC =
μD; HA: Not all population
means are equal.
H0: μA ≥
μB ≥ μC ≥
μD; HA: Not all population
means are equal.
H0: μA ≤
μB ≤ μC ≤
μD; HA: Not...
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