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.
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.
Confidence level 99%, and alpha = 1%.
Confidence intervals may be calculated for any statistics, but the most common statistics for which CI's are computed are mean, proportion and standard deviation. I have include a link, which contains a worked out example for the confidence interval of a mean.
95% confidence level is most popular
Statistics is needed for accounting if you become an auditor. As an auditor you need to essentially test a company's financial records and, since it's impractical to go through absolutely everything, you need to pick a sample size that will give you a result at a certain confidence level.
The width reduces.
confidence intervals
Confidence level 99%, and alpha = 1%.
Confidence intervals may be calculated for any statistics, but the most common statistics for which CI's are computed are mean, proportion and standard deviation. I have include a link, which contains a worked out example for the confidence interval of a mean.
95% confidence level is most popular
Ratio level of measurement is the highest in statistics.
The confidence interval becomes wider.
confidence level
confidence level
Confidence level
Statistics is needed for accounting if you become an auditor. As an auditor you need to essentially test a company's financial records and, since it's impractical to go through absolutely everything, you need to pick a sample size that will give you a result at a certain confidence level.
True.
The width reduces.