A z-value by itself, has nothing to do with level of confidence.A z-value can be used to calculate probabilities of observing a result that is at least as far from the mean. That probability measure can be used to calculate the level of confidence but you need to be careful about using the one-tailed or two-tailed measures - as appropriate.A z-value by itself, has nothing to do with level of confidence.A z-value can be used to calculate probabilities of observing a result that is at least as far from the mean. That probability measure can be used to calculate the level of confidence but you need to be careful about using the one-tailed or two-tailed measures - as appropriate.A z-value by itself, has nothing to do with level of confidence.A z-value can be used to calculate probabilities of observing a result that is at least as far from the mean. That probability measure can be used to calculate the level of confidence but you need to be careful about using the one-tailed or two-tailed measures - as appropriate.A z-value by itself, has nothing to do with level of confidence.A z-value can be used to calculate probabilities of observing a result that is at least as far from the mean. That probability measure can be used to calculate the level of confidence but you need to be careful about using the one-tailed or two-tailed measures - as appropriate.
The value for a one-sided confidence interval of 86% is 1.08
For a lower level test with significance level (alpha) 0.01, the z value is -2.33. That is, P( z < -2.33) = 0.01. The area to the left of -2.33 is 0.01.
A z-score of 0 means the value is the mean.
A confidence interval is calculated using three key elements: the sample mean, the standard deviation (or standard error) of the sample, and the critical value from the relevant statistical distribution (such as the z-score or t-score) corresponding to the desired confidence level. The formula combines these elements to estimate the range within which the true population parameter is expected to lie, given the sample data. This interval provides a measure of uncertainty around the sample estimate.
ss
1.75
2.326 (one sided) or 2.578 (two sided)
1.31
A z-value by itself, has nothing to do with level of confidence.A z-value can be used to calculate probabilities of observing a result that is at least as far from the mean. That probability measure can be used to calculate the level of confidence but you need to be careful about using the one-tailed or two-tailed measures - as appropriate.A z-value by itself, has nothing to do with level of confidence.A z-value can be used to calculate probabilities of observing a result that is at least as far from the mean. That probability measure can be used to calculate the level of confidence but you need to be careful about using the one-tailed or two-tailed measures - as appropriate.A z-value by itself, has nothing to do with level of confidence.A z-value can be used to calculate probabilities of observing a result that is at least as far from the mean. That probability measure can be used to calculate the level of confidence but you need to be careful about using the one-tailed or two-tailed measures - as appropriate.A z-value by itself, has nothing to do with level of confidence.A z-value can be used to calculate probabilities of observing a result that is at least as far from the mean. That probability measure can be used to calculate the level of confidence but you need to be careful about using the one-tailed or two-tailed measures - as appropriate.
The value for a one-sided confidence interval of 86% is 1.08
The Z-value for a one-sided 91% confidence interval is 1.34
Pr{z<=1.0805}~=0.86
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
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
1.96