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Z = ± 1.8119 gives a two-tailed interval of 93%

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13y ago

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What is the critical z-value that corresponds to a confidence level of 92 percent?

1.75


What is the critical value of z that corresponds to a 81 percent confidence level?

1.31


What value corresponds to the 38 percent of the data between the mean and the z value?

The value is 0.3055


What is the critical z value thst corresponds to a confidence level of 88 percent?

The answer will depend on whether the critical region is one-tailed or two-tailed.


What is the critical z value that corresponds to a confidence level of 92 percent?

It depends on whether the interval is one sided or two sided. The critical value for a 2-sided interval is 1.75


What Z value corresponds to a confidence level of 98 percent?

The answer depends on whether the interval is one-sided or two-sided and, if two-sided, whether or not it is symmetrical.


What z value corresponds to a confidnece level of 86?

The value for a one-sided confidence interval of 86% is 1.08


What Z score corresponds to 17 percent of the data between the mean and the Z?

z value=0.44


In a standard normal distribution what z value corresponds to 17 percent of the data between the mean and z value?

z = ±0.44


What is the critical z-value that corresponds to a confidence level of 86 percent?

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


What Z value corresponds to a confidence level of 88 percent?

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


What does 5 percent level of significance means?

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.