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Author Question: How does an ANOVA differ from a t test of independent samples? 1. An ANOVA allows the comparison ... (Read 106 times)

luvbio

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How does an ANOVA differ from a t test of independent samples?
 
  1. An ANOVA allows the comparison of mean scores between and among two or more groups. This test notes that a difference is found, if there is one, but not where the difference lies.
  2. An ANOVA is a much higher level test and has no comparison to a t test.
  3. An ANOVA compares the means of two or more groups on the dependent measure, but an independent t test compares pre- and posttest scores.
  4. An ANOVA gives the reader information about the population of interest but not about the sample in a particular study.

Question 2

A researcher wants to see if sleep can affect test scores. A party is thrown the night before an exam, and all students are required to attend. No one is allowed to get more than 4 hours of sleep prior to the exam. A month later, the researcher does a posttest, and all students get at least 8 hours of sleep the night before the exam. This results in statistics of t = 2.84, degree of freedom (100  1) = 99, and p =.03. Which statistical test, if any, was conducted in this study?
 
  1. An independent sample t test
  2. A dependent sample t test
  3. A nursing student t test
  4. An analysis of variance or ANOVA


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memslove

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luvbio

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Reply 2 on: Jul 8, 2018
YES! Correct, THANKS for helping me on my review


amynguyen1221

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Reply 3 on: Yesterday
Excellent

 

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