(1 point) A random sample of 130 observations is selected from a binomial population with unknown probability of success p. The computer value of 
is 0.64.
(1) Test : 
: p = 0.65 against 
: p > 0.65. Use α= 0.05.
test statistic z =
critical z score
The final conclusion is
⭕ A. We can reject the null hypothesis that p = 0.65 and accept that p is > 0.65.
⭕ B. There is not sufficient evidence to reject the null hypothesis that p = 0.65.
(2) Test : p = 0.5 against :p < 0.65. Use α = 0.01.
test statistic z =
critical z score
The final conclusion is
⭕ A. We can reject the null hypothesis that p = 0.5 and accept that p is < 0.5.
⭕ B. There is not sufficient evidence to reject the null hypothesis that p = 0.5.
(3) Test : p = 0.55 against : p ≠ 0.55. Use α = 0.01.
test statistic z =
positive critical z score
(1 point) A random sample of 130 observations is selected from a binomial population with unknown probability of success p. The computer value of is 0.64.
(1) Test : : p = 0.65 against : p > 0.65. Use α= 0.05.
test statistic z =
critical z score
The final conclusion is
⭕ A. We can reject the null hypothesis that p = 0.65 and accept that p is > 0.65.
⭕ B. There is not sufficient evidence to reject the null hypothesis that p = 0.65.
(2) Test : p = 0.5 against :p < 0.65. Use α = 0.01.
test statistic z =
critical z score
The final conclusion is
⭕ A. We can reject the null hypothesis that p = 0.5 and accept that p is < 0.5.
⭕ B. There is not sufficient evidence to reject the null hypothesis that p = 0.5.
(3) Test : p = 0.55 against : p ≠ 0.55. Use α = 0.01.
test statistic z =
positive critical z score
