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FLIGNER POLICELLO TESTName:
If the placement scores are in P1 and P2, the Fligner-Policello test statistic is
where \( \bar{P}_{Y1} \) and \( \bar{P}_{Y2} \) are the means of the placement scores
\( \bar{P}_{Y2} = \frac{\sum_{i=1}^{n_{Y2}}{P(Y2_{i})}} {n_{Y2}} \) and where
\( V_{Y2} = \sum_{i=1}^{n_{Y2}}{(P(Y2_{i} - \bar{P}_{Y2})^2} \) The standard deviations of the placements are
The above test statistic is compared to a standard normal distribution.
<SUBSET/EXCEPT/FOR qualification> where <y1> is the first response variable; <y2> is the second response variable; and where the <SUBSET/EXCEPT/FOR qualification> is optional. If LOWER TAILED is specified, a lower tailed test is performed. If UPPER TAILED is specified, an upper tailed test is performed. If neither LOWER TAILED or UPPER TAILED is specified, a two-tailed test is performed.
<SUBSET/EXCEPT/FOR qualification> where <y1> ... <yk> is a list of two or more response variables; and where the <SUBSET/EXCEPT/FOR qualification> is optional. This syntax performs all the two-way Fligner-Policello tests for the listed variables. This syntax supports the TO syntax. If LOWER TAILED is specified, a lower tailed test is performed. If UPPER TAILED is specified, an upper tailed test is performed. If neither LOWER TAILED or UPPER TAILED is specified, a two-tailed test is performed.
FLIGNER POLICELLO TEST Y1 Y2 Y3 FLIGNER POLICELLO TEST Y1 TO Y6 FLIGNER POLICELLO TEST Y1 Y2 SUBSET Y2 > 0 LOWER TAILED FLIGNER POLICELLO TEST Y1 Y2 UPPER TAILED FLIGNER POLICELLO TEST Y1 Y2
LET STATCDF = FLIGNER POLICELLO TEST CDF Y1 Y2 LET PVALUE = FLIGNER POLICELLO TEST PVALUE Y1 Y2 LET PVALUE = FLIGNER POLICELLO LOWER TAIL TEST PVALUE Y1 Y2 LET PVALUE = FLIGNER POLICELLO UPPER TAIL TEST PVALUE Y1 Y2 In addition to the above LET commands, built-in statistics are supported for 30+ different commands (enter HELP STATISTICS for details).
. Step 1: Read the data . skip 25 read shoemake.dat y1 y2 skip 0 . . Step 2: Generate the statistics . let statval = fligner policello test y1 y2 let statcdf = fligner policello test cdf y1 y2 let pvalue = fligner policello test pvalue y1 y2 let pvallt = fligner policello test lower tail pvalue y1 y2 let pvalut = fligner policello test upper tail pvalue y1 y2 let statval = round(statval,2) let statcdf = round(statcdf,2) let pvalue = round(pvalue,2) let pvallt = round(pvallt,2) let pvalut = round(pvalut,2) . print "Fligner-Policello:" print "Test Statistic: ^statval" print "Test Statistic CDF: ^statcdf" print "Test Statistic P-Value: ^pvalue" print "Test Statistic Lower Tailed P-Value: ^pvallt" print "Test Statistic Upper Tailed P-Value: ^pvalut" . . Step 3: Perform the tests . fligner policello test y1 y2 lower tailed fligner policello test y1 y2 upper tailed fligner policello test y1 y2The following output is generated Fligner-Policello: Test Statistic: 1.56 Test Statistic CDF: 0.94 Test Statistic P-Value: 0.12 Test Statistic Lower Tailed P-Value: 0.94 Test Statistic Upper Tailed P-Value: 0.06 Two Sample Two-Sided Fligner Policello Test Test for Equal Medians First Response Variable: Y1 Second Response Variable: Y2 H0: Median1 = Median2 Ha: Median1 not equal Median2 Summary Statistics: Number of Observations for Sample 1: 10 Mean for Sample 1: 6.02100 Median for Sample 1: 5.53000 Standard Deviation for Sample 1: 1.58184 Number of Observations for Sample 2: 10 Mean for Sample 2: 5.01900 Median for Sample 2: 5.03500 Standard Deviation for Sample 2: 1.10440 Test Statistic Value: 1.55802 CDF Value: 0.94039 P-Value (2-tailed test): 0.11923 P-Value (lower-tailed test): 0.94039 P-Value (upper-tailed test): 0.05961 Two-Tailed Test: Normal Approximation --------------------------------------------------------------------------- Lower Upper Null Significance Test Critical Critical Hypothesis Level Statistic Value (<) Value (>) Conclusion --------------------------------------------------------------------------- 80.0% 1.55802 -1.28155 1.28155 REJECT 90.0% 1.55802 -1.64485 1.64485 ACCEPT 95.0% 1.55802 -1.95996 1.95996 ACCEPT 99.0% 1.55802 -2.57583 2.57583 ACCEPT Two Sample Lower-Tailed Fligner Policello Test Test for Equal Medians First Response Variable: Y1 Second Response Variable: Y2 H0: Median1 = Median2 Ha: Median1 < Median2 Summary Statistics: Number of Observations for Sample 1: 10 Mean for Sample 1: 6.02100 Median for Sample 1: 5.53000 Standard Deviation for Sample 1: 1.58184 Number of Observations for Sample 2: 10 Mean for Sample 2: 5.01900 Median for Sample 2: 5.03500 Standard Deviation for Sample 2: 1.10440 Test Statistic Value: 1.55802 CDF Value: 0.94039 P-Value (2-tailed test): 0.11923 P-Value (lower-tailed test): 0.94039 P-Value (upper-tailed test): 0.05961 Lower-Tailed Test: Normal Approximation ------------------------------------------------------------ Lower Null Significance Test Critical Hypothesis Level Statistic Value (<) Conclusion ------------------------------------------------------------ 80.0% 1.55802 -0.84162 ACCEPT 90.0% 1.55802 -1.28155 ACCEPT 95.0% 1.55802 -1.64485 ACCEPT 99.0% 1.55802 -2.32635 ACCEPT Two Sample Upper-Tailed Fligner Policello Test Test for Equal Medians First Response Variable: Y1 Second Response Variable: Y2 H0: Median1 = Median2 Ha: Median1 > Median2 Summary Statistics: Number of Observations for Sample 1: 10 Mean for Sample 1: 6.02100 Median for Sample 1: 5.53000 Standard Deviation for Sample 1: 1.58184 Number of Observations for Sample 2: 10 Mean for Sample 2: 5.01900 Median for Sample 2: 5.03500 Standard Deviation for Sample 2: 1.10440 Test Statistic Value: 1.55802 CDF Value: 0.94039 P-Value (2-tailed test): 0.11923 P-Value (lower-tailed test): 0.94039 P-Value (upper-tailed test): 0.05961 Upper-Tailed Test: Normal Approximation ------------------------------------------------------------ Upper Null Significance Test Critical Hypothesis Level Statistic Value (>) Conclusion ------------------------------------------------------------ 80.0% 1.55802 0.84162 REJECT 90.0% 1.55802 1.28155 REJECT 95.0% 1.55802 1.64485 ACCEPT 99.0% 1.55802 2.32635 ACCEPT
Date created: 08/04/2023 |
Last updated: 08/04/2023 Please email comments on this WWW page to [email protected]. |