Z = ± 1.8119 gives a two-tailed interval of 93%
1.75
1.31
The answer will depend on whether the critical region is one-tailed or two-tailed.
It depends on whether the interval is one sided or two sided. The critical value for a 2-sided interval is 1.75
The answer depends on whether the interval is one-sided or two-sided and, if two-sided, whether or not it is symmetrical.
1.75
1.31
The value is 0.3055
The answer will depend on whether the critical region is one-tailed or two-tailed.
It depends on whether the interval is one sided or two sided. The critical value for a 2-sided interval is 1.75
The answer depends on whether the interval is one-sided or two-sided and, if two-sided, whether or not it is symmetrical.
The value for a one-sided confidence interval of 86% is 1.08
z value=0.44
z = ±0.44
norminv([(1-0.86)/2 1 - (1-0.86)/2], 0, 1) which results in a z-score range of -1.4758 to 1.4758
1.555 With 88% confidence, there is 6% (0.06) in either tail of the standard Normal distribution. Table C will not help here. Using Table A the correct z* is about halfway between 1.55 and 1.56. According to technology, z*=1.555
A 5 percent level of significance, often denoted as α = 0.05, is a threshold used in hypothesis testing to determine whether to reject the null hypothesis. It indicates that there is a 5 percent probability of rejecting the null hypothesis when it is actually true, which corresponds to a 5 percent risk of making a Type I error. In practical terms, if a p-value obtained from a statistical test is less than 0.05, the results are considered statistically significant, suggesting that the observed effect is unlikely to have occurred by random chance alone.