ReviewFinalUpdated

ReviewFinalUpdated - Review for Final Exam Tables...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
1 Review for Final Exam Tables Provided (names are from the web site): Normal distribution (like Table I), t-distribution (like Table IV), tail areas for t curves (like Table VI), 2 critical values (Table VII), F critical values (Table VIII, selected pages), Studentized range critical values (Table IX), Critical values for Dunnett’s method (Table X) New Material: Chapter 9 1. Be able to determine the factor, the levels of the factor and the response variable (HW: all problems in chapters 9 and 10) 2. Be able to explain the general procedure of ANOVA and why it works. (HW: mentioned in class) 3. State the assumptions required for ANOVA to be valid and state how you would check them. a) Normality: QQ plot b) Constant variance, residual plot and be able to perform the ratio of variances (standard deviations). (HW: #14) 4. Be able to determine the one-way ANOVA table via hand (fill in the boxes and know equations) and from SAS. Source df SS (Sum of Squares) MS (Mean Square) Model k- 1 ? ? ±²³ ? − ²´µ 2 ? ? =1 ¶¶° ??· Error n - k ( ? ? 1) ¸ ? 2 ? ? =1 ¶¶¹ ??? Total n - 1 ( ² − ²´ ) 2 ? ? º =1 ? ? =1 (HW: 9.10) 5. Be able to calculate the test statistic: » ¸ = °¶° °¶¹ , ?? 1 = ??· , ?? 2 = ??? (HW: 9.20) 6. Be able to perform the 7-step hypothesis test for one-way ANOVA including the calculation of the P-value by hand and via SAS. (HW: 9.20, 9.42) 7. State the advantages of ANOVA and the disadvantages of ANOVA. (HW: mentioned in class)
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
2 8. Be able to determine when to use Tukey’s multiple comparison analysis and when to use Dunnett’s multiple comparison analysis. (HW: Lab only) 9. Be able to perform Tukey’s multiple comparison analysis indicating the factors that are different, presenting a visual display and presenting the final results in ‘layman’s’ terms by hand and via SAS. ? = ? ± °?² 2 ³ 1 ´ µ + 1 ´ · = ? ± °?² ´ µ µ? ´ µ = ´ (HW: #15, 9.42, #19) 10. Be able to perform Dunnett’s multiple comparison analysis indicating the factors that are different and presenting the final results in ‘layman’s’ terms by hand and via SAS. ? = ? ¸ ( ¹ − 1, ´ − ¹ ) °?² º 1 ´ µ + 1 ´ » ¼ (HW: #16, #17, #19) 11. State the assumptions required for ANOVA to be valid and state how you would check them.
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 03/26/2012 for the course STAT 350 taught by Professor Staff during the Spring '08 term at Purdue.

Page1 / 6

ReviewFinalUpdated - Review for Final Exam Tables...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online