while you wait n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
While you wait: PowerPoint Presentation
Download Presentation
While you wait:

Loading in 2 Seconds...

play fullscreen
1 / 20

While you wait: - PowerPoint PPT Presentation


  • 118 Views
  • Uploaded on

While you wait:. Make sure to have the data used with example 12-1 in your calculators. ( ie medication vs exercise vs diet) Make sure to have your assignment for section 12-1 available also. KATU Coverage of King School. 12-2 The Scheffé Test and the Tukey Test.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'While you wait:' - drew


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
while you wait
While you wait:

Make sure to have the data used with example 12-1 in your calculators. (ie medication vs exercise vs diet)

Make sure to have your assignment for section 12-1 available also.

Bluman, Chapter 12

12 2 the scheff test and the tukey test
12-2 The Scheffé Test and the Tukey Test
  • When the null hypothesis is rejected using the F test, the researcher may want to know where the difference among the means is.
  • The Scheffé test and the Tukey test areprocedures to determine where the significant differences in the means lie after the ANOVA procedure has been performed.

Bluman, Chapter 12

the scheff test
The Scheffé Test
  • In order to conduct the Scheffé test, one must compare the means two at a time, using all possible combinations of means.
  • For example, if there are three means, the following comparisons must be done:

Bluman, Chapter 12

formula for the scheff test
Formula for the Scheffé Test

where andare the means of the samples being compared, and are the respective sample sizes, and the within-group variance is .

Bluman, Chapter 12

f value for the scheff test
F Value for the Scheffé Test
  • To find the critical value Ffor the Scheffé test, multiply the critical value for the F test by k  1:
  • There is a significant difference between the two means being compared when Fs is greater than F.

Bluman, Chapter 12

the value of can be found on 1 anova summary table 2 calculator
The value of can be found on:1) ANOVA Summary Table2) Calculator

Compare the calculator results with the values on the chart.

chapter 12 analysis of variance
Chapter 12Analysis of Variance

Section 12-2

Example 12-3

Page #641

Bluman, Chapter 12

example 12 3 lowering blood pressure
Example 12-3: Lowering Blood Pressure

Using the Scheffé test, test each pair of means in Example 12–1 to see whether a specific difference exists, at α = 0.05.

Bluman, Chapter 12

example 12 3 lowering blood pressure1
Example 12-3: Lowering Blood Pressure

Using the Scheffé test, test each pair of means in Example 12–1 to see whether a specific difference exists, at α = 0.05.

Bluman, Chapter 12

example 12 3 lowering blood pressure2
Example 12-3: Lowering Blood Pressure
  • The critical value for the ANOVA for Example 12–1 was F = 3.89, found by using Table H with α = 0.05, d.f.N. = 2, and d.f.D. = 12.
  • In this case, it is multiplied by k – 1 as shown.
  • Since only the F test value for part a ( versus ) is greater than the critical value, 7.78, the only significant difference is between and , that is, between medication and exercise.

Bluman, Chapter 12

an additional note
An Additional Note
  • On occasion, when the F test value is greater than the critical value, the Scheffé test may not show any significant differences in the pairs of means. This result occurs because the difference may actually lie in the average of two or more means when compared with the other mean. The Scheffé test can be used to make these types of comparisons, but the technique is beyond the scope of this book.

Bluman, Chapter 12

the tukey test
The Tukey Test
  • The Tukey test can also be used after the analysis of variance has been completed to make pairwise comparisons between means when the groups have the same sample size.
  • The symbol for the test value in the Tukey test is q.

Bluman, Chapter 12

formula for the tukey test
Formula for the Tukey Test

where andare the means of the samples being compared, is the size of the sample, and the within-group variance is .

Bluman, Chapter 12

chapter 12 analysis of variance1
Chapter 12Analysis of Variance

Section 12-2

Example 12-4

Page #642

Bluman, Chapter 12

example 12 4 lowering blood pressure
Example 12-4: Lowering Blood Pressure

Using the Tukey test, test each pair of means in Example 12–1 to see whether a specific difference exists, at α= 0.05.

Bluman, Chapter 12

example 12 3 lowering blood pressure3
Example 12-3: Lowering Blood Pressure

Using the Tukey test, test each pair of means in Example 12–1 to see whether a specific difference exists, at α = 0.05.

Bluman, Chapter 12

example 12 3 lowering blood pressure4
Example 12-3: Lowering Blood Pressure
  • To find the critical value for the Tukey test, use Table N.
  • The number of means k is found in the row at the top, and the degrees of freedom for are found in the left column (denoted by v). Since k = 3, d.f. = 12, and α = 0.05, the critical value is 3.77.

Bluman, Chapter 12

example 12 3 lowering blood pressure5
Example 12-3: Lowering Blood Pressure
  • Hence, the only q value that is greater in absolute value than the critical value is the one for the difference between and . The conclusion, then, is that there is a significant difference in means for medication and exercise.
  • These results agree with the Scheffé analysis.

Bluman, Chapter 12

homework
Homework
  • Read section 12.2
  • Sec 12.2 page 646
  • #1,2,3,5, 11

Bluman, Chapter 12