ased on the 1990 y normally distributed with a mean of 5 hours and a of...
The following data show the number of hours per day 12 adults spent in front of screens watchin 4.3 4.5 7.4 1.3 5.7 4.6 3.4 7.9 2.2 5.1 1.7 8.3 a. Construct a 99% confidence interval to estimate the average number of hours per day adults s The 99% confidence interval to estimate the average number of hours per day adults spend (Round to two decimal places as needed.) b. What assumptions need to be made about this population? O...
) According to a certain survey, adults spend 2.252.25 hours per day watching television on a weekday. Assume that the standard deviation for "time spent watching television on a weekday" is 1.931.93 hours. If a random sample of 6060 adults is obtained, describe the sampling distribution of x overbarx, the mean amount of time spent watching television on a weekday. x overbarx is approximately normal with mu Subscript x overbarμxequals= 2.25 and sigma Subscript x overbarσxequals=0.2491620.249162 . (Round to six...
The following data show the number of hours per day 12 adults spent in front of screens watching television-related content. Complete parts a and below. 1.3 5.7 4.6 3.4 4.3 5.1 7.9 7.40 8.3 1.7 2.2 a. Construct a 99% confidence interval to estimate the average number of hours per day adults spend in front of screens watching television-related content. The 90% confidence interval to estimate the average number of hours per day adults spend in front of screens watching...
According to a certain survey, adults spend 2.35 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 50 adults is obtained, describe the sampling distribution of x overbar, the mean amount of time spent watching television on a weekday. One consequence of the popularity of the Internet is that it is thought to reduce television watching. Suppose that a random...
The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). (b) According to a certain survey, adults spend 2.35 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 60 adults is obtained, describe the sampling distribution of x, the mean amount of time...
A survey of 675 randomly sampled adults asked how many hours per week each respondent spent watching television. The margin of error was 3 hours per week. The confidence interval was taken at the 95% level. This means that, if the same survey question was repeated in 100 random samples of 675 adults, the results of about 95 of those surveys would be within 3 hours of the results of this survey.
The following data show the number of hours per day 12 adults spent in front of screens watching television-related content. Complete parts a and b below 51 16 5.3 7.8 21 6.90 8.8 29 13 52 hours to hours a. Construct a 90% confidence interval to estimate the average number of hours per day adults spend in front of screens watching television-related content The 90% confidence interval to estimate the average number of hours per day adults spend in front...
The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). (b) According to a certain survey, adults spend 2.25 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 60 adults is obtained, describe the sampling distribution of x, the mean amount of time...
The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? A. The variable "weekly time spent watching television" is likely uniform, not normally distributed. B. The variable "weekly time spent watching television" is likely skewed right, not...
Researchers found that a person in a particular country spent an average of 5.1 hours a day watching TV in 2010. Assume the population standard deviation is 1.9 hours per day. A sample of 43 people averaged 5.9 hours of television viewing per day. Does this result support the findings of the study? Zx= ___ (round 2 decimal places) p(x > 5.9) = (round 2 decimal places) Does this result support the studies findings? The probability is ____ than .05,...