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The amount of time adults spend watching television is closely monitored by rms because this helps to determine advertising pricing for commercials. Complete parts (a)

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The amount of time adults spend watching television is closely monitored by rms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). IJ. I FIE Varlaula weenly Lime spent watcnlng television ls likely normally ulslrluuleu. 3E. The variable \"weekly time spent watching television\" is likely skewed right, not normally distributed. (h) According to a certain survey, adults spend 2.45 hours per day watching television on a weekday. Assume that the standard deviation for "time spent watching television on a weekday" is 1.93 hours. If a random sample of 40 adults is obtained, describe the sampling distribution of x, the mean amount of time spent watching television on a weekday. k is approximately normal with \"i = 2.45 and a); = 0.30516. (Round to six decimal places as needed.) (c) Determine the probability that a random sample of 40 adults results in a mean time watching television on a weekday of between 2 and 3 hours. The probability is 0.8941 . (Round to four decimal places as needed.) (d) One consequence of the popularity of the lntemet is that it is thought to reduce television watching. Suppose that a random sample of 35 individuals who consider themselves to be avid Internet users results in a mean time of 2.03 hours watching television on a weekday. Determine the likelihood of obtaining a sample mean of 2.03 hours or less from a population whose mean is presumed to be 2.45 hours. The likelihood is . (Round to four decimal places as needed.)

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