Statistical Analysis and Hypothesis Testing Flashcards
6 cards from real Data Science with Python Certification practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 Statistical Analysis and Hypothesis Testing flashcards as text
What is a Type I error in hypothesis testing?
Answer: Rejecting a true null hypothesis
A Type I error (false positive) occurs when the test incorrectly rejects a true null hypothesis.
Which statistical test should you use to compare means across more than two groups?
Answer: ANOVA
ANOVA (Analysis of Variance) tests for differences in means across three or more independent groups.
What does `scipy.stats.mannwhitneyu()` test in Python?
Answer: Whether two independent samples come from the same distribution
The Mann-Whitney U test is a non-parametric test that determines if two independent samples share the same distribution.
What is a confidence interval in statistics?
Answer: A range likely to contain the true population parameter
A confidence interval provides a range of values within which the true population parameter is likely to fall with a specified probability.
Which Python function calculates the standard error of the mean?
Answer: scipy.stats.sem()
`scipy.stats.sem()` calculates the standard error of the mean for a given sample array.
What does a Bonferroni correction adjust for when performing multiple hypothesis tests?
Answer: Increased Type I error rate
Bonferroni correction divides the significance threshold by the number of tests to control the family-wise Type I error rate.
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