Final answer:
One of the problems that can occur in accurate interpretation of the chi-square test is when the sample size is small.
Step-by-step explanation:
One of the problems that can occur in accurate interpretation of the chi-square test is when the sample size is small. When the sample size is small, the chi-square test may not provide reliable results and may lead to incorrect interpretations. This is because the chi-square test assumes that the sample size is large enough for the chi-square distribution to approximate the normal distribution. Therefore, it is important to ensure that the sample size is sufficient before using the chi-square test.