WEEK 8 - HOMEWORK 8 LANE CHAPTER 15; ILLOWSKY CHAPTER 13
This week we finish up with ANOVA, the analysis of variance. Here we can deal with THREE or more variables at a time. The intent is to see if there is a significant difference among them. You use the word “between” when comparing two items (and use the t-test) , but use “among” when talking about three or more items (and use the F-test). Sounds good, but these tests will tell you if there is a difference (at the significance level chosen as usual), but NOT which mean is different. For ANOVA we use yet another Distribution: the F Distribution involving the F-test. A problem using this test will likely be on the final exam.
This is all about knowing the why and when about this test.
#1 What are the FIVE (5) basic assumptions that must be made to perform a ONE-WAY ANOVA ?There are five basic Assumptions that must be fulfilled in order to perform a One-Way ANOVA test. What are they?
#2 A One-Way ANOVA test involving FOUR (4) groups would have what NULL Hypothsis (Ho)?
#3 A One-Way ANOVA test involving FOUR (4) groups would have what ALTERNATE Hypothsis (Ha)?
#4 An ANOVA test is used when?
#5 Why not just compute t-tests among all pairs of means instead computing an analysis of variance?
#6 How is it that estimates of variance can be used to test a hypothesis about means?
#7 An experiment has 5 conditions (e.g., different diseases) and 6 subjects in each condition, what are dfn and dfe?
#8 Data from a hypothetical study on the effects of age and time on scores on a test of reading comprehension: Compute the analysis of variance summary table.
Fill in the ANOVA Table, calculate the F test statistic, determine the critical F statistic and compare them to see if we accept or reject Ho. (Feel free to use software to find the P-value and compare that to an alpha of your choice to see if it agrees with your test/critical F-statistic conclusion. (If it doesn’t, something went wrong).
FILL IN THE TABLE BELOW WITH THESE VALUES:
(a) Sum of Squares factor
(b) Sum of Squares Error
(c) df for the Numerator
(d) df for the Denominator
(e) Mean Square Factor
(f) Mean square Error
(g) The F-test statistic
(h) The F- critical value (assume alpha = 5%) CITE HERE: ________
(i) the P-value (software OK)
(j) Accept or Reject Ho ? ( if test/critical F statistic conclusion differs from P-value conclusion, something is wrong.) AND EXPLAIN WHAT THIS MEANS
|
SOURCE |
df |
SSQ |
MS (B&E) |
F |
P |
|
CONDITION |
(c) |
(a) |
(e) |
(g) |
(i) |
|
ERROR |
(d) |
(b) |
(f) |
|
|
|
TOTAL |
|
|
XXXXX |
XXXXX |
XXXXX |
(h) is the critical F-value from a Table of your choice. See if you can figure it out.