Reason for the correct answer:

The sampling distribution of the sample median does not follow a normal distribution.

Thus, the correct option is (b).

Reasons for the incorrect answers:

The sample is a random sample from a population, which is not an important assumption.

Thus, option (a) is incorrect.

Option (c) is incorrect because there are outliers in the sample.

Conclusion:

An important assumption for using the bootstrap method is that the sample distribution for the sample median must not be well approximated by the normal distribution.

The sampling distribution of the sample median does not follow a normal distribution.

Thus, the correct option is (b).

Reasons for the incorrect answers:

The sample is a random sample from a population, which is not an important assumption.

Thus, option (a) is incorrect.

Option (c) is incorrect because there are outliers in the sample.

Conclusion:

An important assumption for using the bootstrap method is that the sample distribution for the sample median must not be well approximated by the normal distribution.