Suppose a study reported that the average persin watched 3.37 hours of television per day. a random sample of 15 people gave the number of hours of television watched per day shown below. at the 1% significance level, do the data provide sufficent evidence to conclude that the amount of television watched per day last year by the average person is greater than the value reported in the study? A.select the correct parameter. a.the average number of hours that all people watch tv b. the average number of hours that the 15 people watch tv c. the fraction of hours people watch tv d. the total number of hours that a person watches tv B. select the correct hypotheses: a. Ho: mu= 3.37 Ha: mu is greater than 3.37 b. Ho: mu=4.103 Ha: mu is greater than 4.103 c.Ho: p=3.37 Ha: p is less than 3.37 d.Ho: mu=3.37 Ha: mu is less than 3.37 C. which of following statements best describes the sampling distribution? a. the sampling distribution is normal with mean 3.37 hours and standard deviation s=4.295 hours b.the sampling distribution is t with 14 degrees of freedom if the histogram for the sample is at least approximately normal with no skew and outliners c. the sampling distribution is exactly binomial with 205 trials and p=.9, but is approximated by a normal curve d. the sampling distribution is Bernoulli trial where "success" is defined as the number of hours a person watches tv is over 3.37 hours. D. the correct errors for this problem would be? a. type 1: we reject Ho when Ho is true/ Type 2: We fail to reject Ho when Ho is false b. type1: we claim the average number of hours people watch tv is 3.37 hours when in reality it is not./ Type 2: we claim the average number of hours people watch tv is greater than 3.37 hours when in reality it is not. c. type1:we claim the average number of hours people watch tv is greater than 3.37 hours when in reality it is not. / type 2: we claim the average number of hours people watch tv is 3.37 hours when in reality it is not.
Suppose a study reported that the average persin watched 3.37 hours of television per day. a random sample of 15 people gave the number of hours of television watched per day shown below. at the 1% significance level, do the data provide sufficent evidence to conclude that the amount of television watched per day last year by the average person is greater than the value reported in the study?
A.select the correct parameter.
a.the average number of hours that all people watch tv
b. the average number of hours that the 15 people watch tv
c. the fraction of hours people watch tv
d. the total number of hours that a person watches tv
B. select the correct hypotheses:
a. Ho: mu= 3.37 Ha: mu is greater than 3.37
b. Ho: mu=4.103 Ha: mu is greater than 4.103
c.Ho: p=3.37 Ha: p is less than 3.37
d.Ho: mu=3.37 Ha: mu is less than 3.37
C. which of following statements best describes the sampling distribution?
a. the sampling distribution is normal with mean 3.37 hours and standard deviation s=4.295 hours
b.the sampling distribution is t with 14 degrees of freedom if the histogram for the sample is at least approximately normal with no skew and outliners
c. the sampling distribution is exactly binomial with 205 trials and p=.9, but is approximated by a normal curve
d. the sampling distribution is Bernoulli trial where "success" is defined as the number of hours a person watches tv is over 3.37 hours.
D. the correct errors for this problem would be?
a. type 1: we reject Ho when Ho is true/ Type 2: We fail to reject Ho when Ho is false
b. type1: we claim the average number of hours people watch tv is 3.37 hours when in reality it is not./ Type 2: we claim the average number of hours people watch tv is greater than 3.37 hours when in reality it is not.
c. type1:we claim the average number of hours people watch tv is greater than 3.37 hours when in reality it is not. / type 2: we claim the average number of hours people watch tv is 3.37 hours when in reality it is not.
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