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
Comparison of Steps of the Nursing Process with the Research Process
Comparison of Two Compromises
Keep Calm and Do the Practice Test
Phalen’s test
Structural comparison of human blood vessels and the direction of blood flow through them
Structure of a woody stem (comparison)