TABLE OF CONTENTS DATA of pretest and post test.........................................................................................................1 Normal Distribution....................................................................................................................2 Paired Sample T-test...................................................................................................................4 Wilcoxon matched-pairs test.......................................................................................................5
DATA of pretest and post test Pre-test Post test Composite Score Composite ScoreMeanMean Composite Score Composi te ScoreMeanMean Name (i) Y- balance (Right) (i) Y- balance (Left) (ii) Illinois Test (iii) 5-10- 5 agility test (i) Y-balance (Right) (i) Y- balance (Left) (ii) Modified Illinois Test (iii) 5-10- 5 agility test AFZAL Tanwir949216.3525.28393.69515.8285.21 HAYAT Babar82.984.515.9435.21589.587.415.2244.893 KHAN Waqas KHAN Nizakat85.283.316.3145.362 KHAN Aizaz100.9101.815.4985.245103.7101.7 NAWAZ Ehsan9290.216.4285.10789.189.815.7254.954 AHMEDE Tanveer92.589.716.0615.12491.890.615.6644.879 KHAN Ehsan102.1100.815.2295.105121116.815.1544.758 Ahsan Abbasi96.3100.216.3125.463101.8103.6 WASIF Shahid94.59315.4545.021100.798.815.4545.012 Wajid Shah84.887.115.5575.018 Mariko Hill Hassan Khan94.995.215.8035.011 1
Hassain Khan80.67816.1575.334 AFZAL Tanwir949216.3525.28393.69515.8285.21 HAYAT Babar82.984.515.9435.21589.587.415.2244.893 NAWAZ Ehsan9290.216.4285.10789.189.815.7254.954 AHMEDE Tanveer92.589.716.0615.12491.890.615.6644.879 KHAN Ehsan102.1100.815.2295.105 1 ‘Results Sample’ format . Please do the good and correct analysis in this work.21116.815.1544.758 WASIF Shahid94.59315.4545.021100.798.815.4545.012 Left Leg LengthRight Leg Length 100100 9999 9797 9495 9394 9191 SD:3.5590260843.346640106 Mean:95.6666666796 Normal Distribution It is symmetric about mean which reflects data is near to mean and frequent in occurrence compared to data far from the mean. In the above scenario, average of left lag is 95.67 with 2
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standard deviation of 3.55. Apart from this, right left lag has average of 96 with standard deviation of 3.34. The mean and standard deviation has been replicated along with Shapiro-wilk test of normalityfor extracting outcome opf normally distributed and testing the variation of mean score of pre and post test. The above table is stating descriptive statistics of pretest and post test of different measures such as Preybaance right and left is 93 and 91.7 respectively. In this aspect, the highest average is of PCS y balance left along with lowest is of PCS 5105 agility test with accuracy of 1.741 and 0.845 of Kurtosis and Skeweness significantly. 3
Paired Sample T-test The outcome of paired sample t test is a process to test that mean of two metric variable are equal in similar population. In simple words, it is used for analyzing mean difference of every direction among pre and post test for normally distributed data. The below table is reflecting paired sample t test. The above table is reflecting output of paired sample statistics and correlation is extracted as 0.801 for pair 1 is Preilinois and Postillinois test are strongly correlated and positive relationship. Furthermore, with context to pair 2 of pre 5105 agility and post 5105 agility test has 0.471 underlies with moderate positive linear relationship. 4
The above table is showing paired sample t test as here for pair 1 p value is less than 0.05 as 0.024 then alternative hypothesis is accepted.It could be elaborated that Prellinois test and post illinois test are effective at significant level of 5%. In the same series, with application of this test in pair 2, its p value is 0.018 which is less than 0.05 so could be concluded that effectiveness about Pre 510 agility and post 105 agility test with acceptance of alternative hypothesis. Nutshell Pair 1 has strong positive relationship and pair 2 has moderate positive relationship with context to correlation. There is no significant mean difference in both Pair 1 and pair 2 at 95% confidence interval which is statistically prooved. Wilcoxon matched-pairs test The reported measure of Wilcoson Signed-Ranked test result as non parametric test which is equivalent to dependent t test and does not assume normality in the data. Generally, it has need of different scores for being normally distributed in population. It is a statistical comparison of average of two dependent variables and works with metric data which is not multivariate normal and with ranked and ordinal data. This is non parametric alternative to the dependent sample t test and it tests that null hypothesis that average signed rank of two dependent samples is zero. 5
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The above table consists of statistics which are necessary for extracting Wilcoxon signed ranks test's W. These are the size of sample along with aggregate of ranks as it has mean rank which is not important for reaching W-value but its significance in stating interpretation of this data set. From pair of right, it is clearly viewed that total of 6 '3 observations were made of pre and post y balanceright. The Wilcoxsign test answers about question if the variation is significant different from 0, however if observed variation in mean ranks(2 vs 5) could also be extracted in general population. From pair of left, it is clearly viewed that total of 6 '5 observations were made of pre and post y balance left. The Wilcoxsign test answers about question if the variation is significant different from 0, however if observed variation in mean ranks(1 vs 4) could also be extracted in general population. The answer of both right and left is replicated with help of second table which comprises test of significance statistics. 6
The SPSS output comprises z value of right pair is -.943 as its p value is 0.345 and for left, it z value is -1.992 with p value of 0.046. Here alternative hypothesis could be accepted in right because of lower significant and in left null hypothesis is accepted due to lower p value. 7