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
Independent Assortment
A comparison of (a) uniform, cup-shaped, normal erythrocytes
Citrate synthase test
A vehicle being tested during an enhanced emissions test.
A comparison of sperm production and egg production in humans
Comparison of bacterial and eukaryotic gene expression