A nutritionist is conducting a study to determine the prevalence of vitamin D deficiency among college athletes. She plans to test 150 athletes who train indoors. She anticipates that 30% of them will have a vitamin D deficiency. The nutritionist decides to report the 95% confidence interval. What is the best interpretation for this interval? A. There is a 5% probability that the population parameter is higher than the interval. B. She is 95% confident that the population parameter is within the interval. C. There is a 95% likelihood that another sample of 150 will have an overlapping confidence interval. D. She is 95% confident that the sample proportion is within the interval