Use of trimming is commonly referred to as the trimmed t-test. More accurate than the analytical test, but it does not make strongĪssumptions about the shape of the underlying distribution. The permutation test can be computationally expensive and not necessarily When 1 = binom(n, k), an exact test is performed: the dataĪre partitioned between the groups in each distinct way exactly once. Observed data against a theoretical t-distribution. If the p-value is smaller than our threshold, then we have evidenceĪgainst the null hypothesis of equal population means.īy default, the p-value is determined by comparing the t-statistic of the We do not reject the null hypothesis of equal population means. Our observation is not so unlikely to have occurred by chance. Samples are drawn from populations with the same population means, is true.Ī p-value larger than a chosen threshold (e.g. The p-value quantifies the probability of observingĪs or more extreme values assuming the null hypothesis, that the The t-test quantifies the difference between the arithmetic means Petal characteristics) or two different populations. the same species of flower or two species with similar We are considering whether the two samples were drawn from the same Suppose we observe two independent samples, e.g. If False, perform Welch’s t-test, which does not assume equal If True (default), perform a standard independent 2 sample test If None, the input will be raveled before computing the statistic. If an int, the axis of the input along which to compute the statistic. The arrays must have the same shape, except in the dimensionĬorresponding to axis (the first, by default). Populations have identical variances by default. Have identical average (expected) values. This is a test for the null hypothesis that 2 independent samples ttest_ind ( a, b, axis = 0, equal_var = True, nan_policy = 'propagate', permutations = None, random_state = None, alternative = 'two-sided', trim = 0, *, keepdims = False ) #Ĭalculate the T-test for the means of two independent samples of scores.
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