A data group is examining whether two website designs produce different user engagement durations. They have sample data for each design. Which approach can help them determine if there is a real difference?
Z-score
chi-squared test
t-test
correlation testing
A t-test is appropriate as it is designed to compare two sets of numeric results and determine if their means differ significantly. Correlation testing assesses the relationship between two variables, not differences between groups. A chi-squared test is for categorical data comparisons and is not suitable for numeric datasets. A Z-score measures how one value deviates from a mean, which is unrelated to comparing two sample groups.
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