Statement-I : When a null hypothesis is true but as per the hypothesistesting, it is rejected; it is known as Type II error in hypothesis-testing. Statement-II : For testing the significance of the differences among the performance of more than two sample groups when the data are non-parametric, Kruskal-Wallis (H) test is appropriate. Code :

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Statement-I : When a null hypothesis is true but as per the hypothesistesting, it is rejected; it is known as Type II error in hypothesis-testing. <br /> Statement-II : For testing the significance of the differences among the performance of more than two sample groups when the data are non-parametric, Kruskal-<br />Wallis (H) test is appropriate.<br /> <em>Code :</em>