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.
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
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.
Discuss possible roles and responsibilities of paraprofessionals.
What will be an ideal response?