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The One-Way ANOVA test represents the best choice if one wants to compare the average number of adjustments made by service representatives at five different locations within a region.
The null hypothesis, which claims that samples from populations with the same mean values are used to create all of the groups' samples, is tested by the ANOVA.
The population variance is estimated twice to accomplish this. Numerous assumptions underlie these estimations. An F-statistic is generated by the ANOVA and represents the proportion of variation within the samples to variance estimated among the means.
According to the central limit theorem, the variance of the group means should be less than the variance of the samples if the group means are taken from populations with similar mean values. A larger ratio suggests that samples were taken from populations with different mean values, which is implied by a higher ratio.
To learn more about the One-Way ANOVA test refer to:
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Answer:
a) we all follow the same or different developmental paths.
Explanation:
Human development refers to the changes we undergo as we grow. These changes could be positive, negative, or neutral. The universal view of these changes explains that there is a fundamental process that accounts for the differences in development.
The context-specific perspective explains that the development that occurs in humans has a direct interconnection to the context where it occurs. It further explains that the environment plays an important role in the development of individuals and that since the environment differs for different people, it is not fundamentally the same. So, in short, the two concepts are concerned with whether we all follow the same path or different developmental paths.
Answer:
The evidence of the senses and the realm of logic should be the primary way a man bases his thoughts and opinions on
Explanation:
