Da Hypothesis Testing — Free Data Analytics Tutorial
Learn Da Hypothesis Testing in Data Analytics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Da Hypothesis Testing in Data Analytics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
Written & reviewed by the Syllab.in Academic Team (CBSE/NCERT subject experts) · Updated
Da Hypothesis Testing in Data Analytics
Hypothesis testing determines if sample evidence supports a claim about a population.
Null hypothesis (H0): no effect; Alternative hypothesis (H1): effect exists.
p-value: probability of observing data if H0 is true. If p < 0.05, reject H0.
t-test compares means of two groups; ANOVA compares 3+ groups.
Type I error (false positive): reject true H0. Type II error (false negative): accept false H0.
Da Hypothesis Testing — Syntax
# t-test: from scipy.stats import ttest_ind; stat, p = ttest_ind(group1, group2) # ANOVA: from scipy.stats import f_oneway; stat, p = f_oneway(group1, group2, group3)
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