Uji kenormalan data merupakan salah

Uji kenormalan data merupakan salah satu uji statistic yang digunakan untuk menguji data yang diperoleh dari hasil penelitian terdistribusi normal atau tidak. Apabila berdistribusi normal, maka untuk menguji hipotesis dalam penelitian ini dapat digunakan statistic parametric (Dalma hal ini adalah analisis regrasi). Berkaitan dengan pengujian kenormalan data ini digunakan uji liliefors, apabila diperoleh probabilitas lebih besar dari taraf kesalahan yang digunakan, maka dapat disimpulkan bahwa data terdistribusi normal. Berdasarkan hasil perhitungan normalitas data diketahui bahwa data explosive power otot tungkai = LoMax 0,131 dan data kecepatan lari 60 meter = LoMax 0,097dengan L tabel untuk keduanya adalah =0,161. Berdasarkan hal tersebut maka diketahui bahwa LoMax < L table dengan demikian maka dapat dikatakan data berditribusi normal.

Hasil (Inggris) 1:

Average test data is one of the test statistic used to test data obtained from research results are distributed normally or not. When Gaussian, then to test the hypothesis in this study can be used in parametric statistics (this is just a regrasi analysis). With regard to testing this test used data normalcy liliefors, if the obtained probability greater than the error levels are used, then it can be inferred that the data is distributed normally. Based on the results of the calculation of the normality of data aware that data explosive power limb muscles = LoMax 0,131 and data speed 60 m = 097dengan L LoMax 0, table for two is = 0,161. Based on these things then it is known that LoMax < L table can thus be said to berditribusi normal data.

Hasil (Inggris) 2:

Test normality of data is one of the statistical tests used to test data obtained from the results of the study are normally distributed or not. If the normal distribution, then to test the hypothesis in this study can be used statistical parametric (Dalma this is regression analysis). Associated with this data normality test used Liliefors test, if obtained probability is greater than the error level is used, it can be concluded that the data are normally distributed. Based on the calculation of data normality is known that the data of explosive power leg muscle = 0.131 Lomax and data running speed of 60 meters = Lomax 0,097dengan L table for two is = 0.161. Under these conditions, it is known that Lomax <L table with the data so it can be said berditribusi normal.