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Jellybean Jar II is a easy quant interview question on probability.
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This is an easy probability question that combines sampling without replacement with careful case analysis. It rewards methodical enumeration and the ability to translate a constraint—matching colors at symmetric positions—into countable outcomes.
The problem asks you to find the probability of a specific event when drawing a small sample from a finite population. Success depends on identifying all valid color patterns, counting them correctly, and then dividing by the total number of possible draws. This is a common setup in probability interviews: it avoids heavy computation but requires clear thinking about which outcomes satisfy the stated condition.
Old Mission.