Explain why the one-way, between-subjects ANOVA is an example of an inferential statistical tool.

What will be an ideal response?


Ans: Because the purpose of the one-way, between-subjects ANOVA is to allow us to learn if we can generalize a result from the sample to its corresponding population.

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At the introduction of a test, an acceptable verbal command by the teacher is: "And if I catch you cheating, I will tear up your test and give you a zero score."

Indicate whether the statement is true or false.

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Learning standards should focus on one or two domains so there will be no confusion of subject matter

Indicate whether the statement is true or false

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Your head of research has followed your advice and now wants you to measure effect sizes.  You report a Pearson’s r of 0.50 for the impact of increased consumption of oily fish supplements on student reading scores.   Your head of research wants to know if this is bad, as she remembers that a p-value of 0.30 is not good.  What do you tell her?

A. You tell her that effect size and p-values are not the same and that a Pearson’s r of 0.50 is a large effect, suggesting she should encourage the use of oily fish supplements. B. You tell her that effect size and p-values are the same and that a Pearson’s r of 0.50 means there is no statistically significant effect and oily fish supplements should not be given. C. You tell her that effect size and p-values are not the same and that a Pearson’s r of 0.50 is a small effect, suggesting she should stop the use of oily fish supplements until more data analysis is done. D. You tell her that effect size and p-values are not the same and that a Pearson’s r of 0.50 is a medium effect, suggesting she should encourage the use of oily fish supplements.

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Discuss possible roles and responsibilities of paraprofessionals.

What will be an ideal response?

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