JuniorMultiple choiceWhat is the p-value in hypothesis testing?AA measure of the probability of a null hypothesis being true.BA parameter used to calculate confidence intervals.CA value that indicates the strength of a correlation.DA metric that determines the statistical significance of an observed effect.Check answer
JuniorMultiple choiceWhat is the Central Limit Theorem (CLT)?AA theorem that states the distribution of sample means approximates a normal distribution as the sample size becomes large.BA principle that explains the relationship between two random variables.CA method for calculating the variance of a dataset.DA hypothesis that predicts the behavior of a single sample.Check answer
JuniorMultiple choiceWhat is the difference between Type I and Type II errors?AType I error is a false positive, while Type II error is a false negative.BType I error occurs when a true null hypothesis is accepted, and Type II error occurs when a false null hypothesis is rejected.CType I error and Type II error are the same and interchangeable.DType I error is a false negative, while Type II error is a false positive.Check answer
JuniorMultiple choiceWhat is the difference between correlation and causation?ACorrelation implies a cause-and-effect relationship between two variables.BCorrelation and causation are interchangeable terms in statistics.CCausation means one variable directly causes a change in another.DCorrelation shows a statistical relationship between two variables, but not causation.Check answer
JuniorMultiple choiceWhat is the role of statistics in data science?ATo only visualize data.BTo make evidence-based decisions.CTo summarize data and uncover patterns.DTo validate models and handle uncertainty.Check answer
