The instructions to label the distribution probably are suggesting that you use the empirical (68-95-99.7) rule. It's the one that says approximately 68% of a normal distribution lies within 1 standard deviation of the mean, 95% within 2 standard deviations of the mean, and 99.7% with 3 standard deviations of the mean.
Suppose
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represents the random variable for the number of days a house is on the market. Then what the above means is that for this particular distribution
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

Using these probabilities, and the fact that the distribution is symmetric, you would find
5. 99.7%, following immediately from the rule;
6. 84%. The distribution is symmetric, so exactly 50% falls to either side of the mean. This also means we can split up
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to find that
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;
7. 68%, again straight from the rule;
8. 2.5%. About 95% of houses are on the market between 24 and 76 days, so 5% are not. Half of these are on the market for less than 24 days.