W CH_06 10/27/2022 Question 5, 6.2.11-T HW Score: 66%, 3.3 of 5 points Part 4 of 4 Points: 0.75 of 1 Save A study indicates that 18- to 24-year olds spend a mean of 115 minutes watching video on their smartphones per month. Assume that the amount of time watching video on a smartphone per month is normally distributed and that the standard deviation is 15 minutes. Complete parts (a) through (d) below. a. What is the probability that an 18-to 24-year-old spends less than 90 minutes watching video on his or her smartphone per month? The probability that an 18- to 24-year-old spends less than 90 minutes watching video on his or her smartphone per month is 0.0475. (Round to four decimal places as needed. b. What is the probability that an 18- to 24-year-old spends between 90 and 135 minutes watching video on his or her smartphone per month? The probability that an 18- to 24-year-old spends between 90 and 135 minutes watching video on his or her smartphone per month is 0.861 . (Round to four decimal places as needed.) c. What is the probability that an 18-to 24-year-old spends more than 135 minutes watching video on his or her smartphone per month? The probability that an 18- to 24-year-old spends more than 135 minutes watching video on his or her smartphone per month is 0.0918 (Round to four decimal places as needed.) d. Five percent of all 18- to 24-year-olds will spend less than how many minutes watching video on his or her smartphone per month? Five percent of all 18- to 24-year-olds will spend less than | minutes watching video on his or her smartphone per month (Round to two decimal places as needed.) Clear all Check answer View an example Get more help - GX 200m NOV 23 MacBook Air DII 80 O 5 6pproxtmately normally distributed, with a me 1' 2 5 ' ' ' ' . . _ Complete parts (a) through ( d) below. an o . 9 Inches and a standard dewatton of 0.05 inch. A random sample of 10 tennis balls is selected a. What ls the sampling distribution of the mean? It Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 10 will not be approximately normal. it Lv l Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 10 cannot be found, Because the population diameter of tennis balls is approximately normally distributed, the sampling distribution of samples of size 10 will also be approximately normal. i? Because the population diameter of tennis balls is approximately nonnaily distributed, the sampling distribution of samples of size 10 will be the uniform distribution. b. What is the probability that the sample mean is less than 2.58 inches? P()_(