Difference between revisions of "SOCR EduMaterials AnalysisActivities FlignerKilleen"

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(→‎SOCR Analyses Example on Fligner-Killeen Non-parametric Test.)
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== SOCR Analyses Example on Fligner-Killeen Non-parametric Test. ==
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==[[SOCR_EduMaterials_AnalysesActivities | SOCR Analysis Activities]] - Fligner-Killeen Non-parametric Test==
  
 +
===Overview of the test Fligner-Killeen===
 +
The [[AP_Statistics_Curriculum_2007_NonParam_VarIndep | Fligner-Killeen test]] is a non-parametric test comparing whether k samples have equal variances. Some alternative statistical tests, for example the  [[ | analysis of variance]], assume that variances are equal across groups or samples.
  
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This example is based on a dataset from the '''R package''' under the library '''MASS'''. The dataset's name is '''InsectSprays'''.
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===Examples===
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This example is based on a dataset from the '''R package''' under the library '''MASS'''. The dataset's name is [http://projetos.inpa.gov.br/i3geo/pacotes/r/win/library/datasets/html/InsectSprays.html InsectSprays]. In this dataset, there are two variables: count, which is quantitative, and '''spray''', a factor of six groups, denoted by '''A''' to '''F'''.
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In this dataset, there are two variables: count, which is quantitative, and '''spray''' , a factor of six groups, denoted by '''A''' to '''F'''.
 
  
 
The analysis steps:
 
The analysis steps:
  
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'''1.''' As you start the SOCR Analyes Applet, click on '''Fligner-Killeen Test''' from the combo box in the left panel. Next, click on '''Example 2''' and then the '''Data''' tab on the top of the right panel. You will see something like below. The data have been divided into 6 columns by groups.
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'''1.''' As you start the [http://www.socr.ucla.edu/htmls/SOCR_Analyses.html SOCR Analyses Applet], click on '''Fligner-Killeen Test''' from the combo box in the left panel. Next, click on '''Example 2''' and then the '''Data''' tab on the top of the right panel. You will see something like below. The data have been divided into 6 columns by groups.
  
 
<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig1.gif|700px]]</center>
 
<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig1.gif|700px]]</center>
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<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig3.gif|700px]]</center>
 
<center>[[Image:SOCR_AnalysisActivities_Survival_Chu_081015_Fig3.gif|700px]]</center>
  
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: '''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1.
  
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===[[http://biology.leidenuniv.nl/~zandee/statistiek/Rweb/R-graphics.html InsectSprays dataset]===
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'''Note''': if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1.
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<center>
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{| class="wikitable" style="text-align:center; width:75%" border="1"
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|-
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|Index|| count|| spray
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|-
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|1|| 10|| A
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|-
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|2||  7|| A
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|-
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|3|| 20|| A
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|-
 +
|4|| 14|| A
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|-
 +
|5|| 14|| A
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|-
 +
|6|| 12|| A
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|-
 +
|7|| 10|| A
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|-
 +
|8|| 23|| A
 +
|-
 +
|9|| 17|| A
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|-
 +
|10|| 20|| A
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|-
 +
|11|| 14|| A
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|-
 +
|12|| 13|| A
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|-
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|13|| 11|| B
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|-
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|14|| 17|| B
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|-
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|15|| 21|| B
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|-
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|16|| 11|| B
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|-
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|17|| 16|| B
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|-
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|18|| 14|| B
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|-
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|19|| 17|| B
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|-
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|20|| 17|| B
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|-
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|21|| 19|| B
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|-
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|22|| 21|| B
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|-
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|23|| 7|| B
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|-
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|24|| 13|| B
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|-
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|25|| 0|| C
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|-
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|26|| 1|| C
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|-
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|27|| 7|| C
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|-
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|28|| 2|| C
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|-
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|29|| 3|| C
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|-
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|30|| 1|| C
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|-
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|31|| 2|| C
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|-
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|32|| 1|| C
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|-
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|33|| 3|| C
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|-
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|34|| 0|| C
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|-
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|35|| 1|| C
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|-
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|36|| 4|| C
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|-
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|37|| 3|| D
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|-
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|38|| 5|| D
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|-
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|39|| 12|| D
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|-
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|40|| 6|| D
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|-
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|41|| 4|| D
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|-
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|42|| 3|| D
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|-
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|43|| 5|| D
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|-
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|44|| 5|| D
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|-
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|45|| 5|| D
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|-
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|46|| 5|| D
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|-
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|47|| 2|| D
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|-
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|48|| 4|| D
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|-
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|49|| 3|| E
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|-
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|50|| 5|| E
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|-
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|51|| 3|| E
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|-
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|52|| 5|| E
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|-
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|53|| 3|| E
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|-
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|54|| 6|| E
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|-
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|55|| 1|| E
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|-
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|56|| 1|| E
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|-
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|57|| 3|| E
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|-
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|58|| 2|| E
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|-
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|59|| 6|| E
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|-
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|60|| 4|| E
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|-
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|61|| 11|| F
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|-
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|62|| 9|| F
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|-
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|63|| 15|| F
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|-
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|64|| 22|| F
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|-
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|65|| 15|| F
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|-
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|66|| 16|| F
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|-
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|67|| 13|| F
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|-
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|68|| 10|| F
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|-
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|69|| 26|| F
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|-
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|70|| 26|| F
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|-
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|71|| 24|| F
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|-
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|72|| 13|| F
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}
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</center>
  
 
<hr>
 
<hr>
  
 
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_AnalysisActivities_Survival}}
 
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_AnalysisActivities_Survival}}

Revision as of 15:41, 20 October 2008

SOCR Analysis Activities - Fligner-Killeen Non-parametric Test

Overview of the test Fligner-Killeen

The Fligner-Killeen test is a non-parametric test comparing whether k samples have equal variances. Some alternative statistical tests, for example the [[ | analysis of variance]], assume that variances are equal across groups or samples.

Examples

This example is based on a dataset from the R package under the library MASS. The dataset's name is InsectSprays. In this dataset, there are two variables: count, which is quantitative, and spray, a factor of six groups, denoted by A to F.

The analysis steps:

1. As you start the SOCR Analyses Applet, click on Fligner-Killeen Test from the combo box in the left panel. Next, click on Example 2 and then the Data tab on the top of the right panel. You will see something like below. The data have been divided into 6 columns by groups.

Error creating thumbnail: File missing


2. Click on the Mapping tab to map the groups you would like to include in the analysis. Select at least two groups.

SOCR AnalysisActivities Survival Chu 081015 Fig2.gif


3. Now you will click on Compute to let the program produce the results. Click on Result to view the results.

SOCR AnalysisActivities Survival Chu 081015 Fig3.gif
Note: if you happen to click on the "Clear" button in the middle of the procedure, all the data will be cleared out. Simply start over from step 1.

[InsectSprays dataset

Index count spray
1 10 A
2 7 A
3 20 A
4 14 A
5 14 A
6 12 A
7 10 A
8 23 A
9 17 A
10 20 A
11 14 A
12 13 A
13 11 B
14 17 B
15 21 B
16 11 B
17 16 B
18 14 B
19 17 B
20 17 B
21 19 B
22 21 B
23 7 B
24 13 B
25 0 C
26 1 C
27 7 C
28 2 C
29 3 C
30 1 C
31 2 C
32 1 C
33 3 C
34 0 C
35 1 C
36 4 C
37 3 D
38 5 D
39 12 D
40 6 D
41 4 D
42 3 D
43 5 D
44 5 D
45 5 D
46 5 D
47 2 D
48 4 D
49 3 E
50 5 E
51 3 E
52 5 E
53 3 E
54 6 E
55 1 E
56 1 E
57 3 E
58 2 E
59 6 E
60 4 E
61 11 F
62 9 F
63 15 F
64 22 F
65 15 F
66 16 F
67 13 F
68 10 F
69 26 F
70 26 F
71 24 F
72 13 F

}

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