Concept explainers
(a)
To explain: The concept of one-way ANOVA.
(a)
Explanation of Solution
One-way ANOVA:
A one-way ANOVA is a kind of hypotheses statistical test that compares the variance in the grouping means inside a model while bearing in mind only one independent factor, it indicates the number of factors tested in the study. It is called one-way ANOVA because the researcher has to deal with just one factor. In simple words, it is the type of hypothetical test that compares the variances in the groups when dealing with only one factor.
(b)
To explain: The concept of between subjects.
(b)
Explanation of Solution
Between-subjects ANOVA:
This type of ANOVA test measure is useful when groping for the difference between independent groups on a nonstop level variable. It is the most frequently used type of ANOVA. Here, diverse persons test each situation, so that every being is only showing to a sole client boundary.
Therefore, one-way between-subject ANOVA measures the observations between the group only.
(c).
To explain: The concept of within subjects.
(c).
Explanation of Solution
Within-subjects ANOVA:
Within-subjects ANOVA is also known as the repeated measure ANOVA. The repeated measures ANOVA can be used when investigating for differences over two or more-point periods, It is used to establish to decide whether three or additional set means are changed where the participants are similar in every group. Therefore, one-way within-subject ANOVA measures the observations within the groups with the same participants in the group.
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Chapter 11 Solutions
Essential Statistics for the Behavioral Sciences
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