Final answer:
The probability that the point estimate is within ±30 of the population mean is 50%.
Step-by-step explanation:
To find the probability that the point estimate is within ±30 of the population mean, we need to calculate the z-score for ±30 using the standard error of the mean. The z-score formula is (point estimate - population mean) / standard error of the mean. In this case, the point estimate is 0 because we want to find the probability of being within ±30 of the population mean. So the z-score is (0 - 0) / 20 = 0. To find the probability, we look up the z-score in the standard normal distribution table. The cumulative probability for a z-score of 0 is 0.50. However, we want the probability of being within ±30, so we subtract 0.50 from 1 to get 0.50. Therefore, the probability that the point estimate is within ±30 of the population mean is 0.50 or 50%.