Suppose a geyser has a mean time between eruptions of 61 minutes. If the interval of time between the eruptions is normally distributed with standard deviation 16 minutes, answer the following questions. (a) What is the probability that a randomly selected time interval between eruptions is longer than 68 minutes? The probability that a randomly selected time interval is longer than 68 minutes is approximately (0.3309). (Round to four decimal places as needed.) (b) What is the probability that a random sample of 10 time intervals between eruptions has a mean longer than 68 minutes? The probability that the mean of a random sample of 10 time intervals is more than 68 minutes is approximately (Round to four decimal places as needed.) (c) What is the probability that a random sample of 30 time intervals between eruptions has a mean longer than 68 minutes? The probability that the mean of a random sample of 30 time intervals is more than 68 minutes is approximately (Round to four decimal places as needed.) (d) What effect does increasing the sample size have on the probability? Provide an explanation for this result. Choose the correct answer below. O A. The probability increases because the variability in the sample mean increases as the sample size increases. O B. The probability decreases because the variability in the sample mean decreases as the sample size increases. OC. The probability increases because the variability in the sample mean decreases as the sample size increases. OD. The probability decreases because the variability in the sample mean increases as the sample size increases. (e) What might you conclude if a random sample of 30 time intervals between eruptions has a mean longer than 68 minutes? Choose the best answer below. O A. The population mean may be greater than 61. O B. The population mean cannot be 61, since the probability is so low. OC. The population mean must be more than 61, since the probability is so low. O D. The population mean is 61 minutes, and this is an example of a typical sampling.