Compare Z.TEST vs CONFIDENCE.NORM
2 vsCompare Z.TEST vs CONFIDENCE.NORM side-by-side — differences, popularity and recommendation
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Feature
Category
Statistical statistical
Statistical statistical
Popularity
8 / 100
20 / 100
Views
◉ 10 views
◉ 4 views
Output
Number
Number
Version
Excel 2010
Excel 2010
Volatile
No
No
Dynamic Array
No
No
Description
This article describes the formula syntax and usage of the Z.TEST, which returns the one-tailed P-value of a z-test.
The confidence interval is a range of values. Your sample mean, x, is at the center of this range and the range is x ± CONFIDENCE.NORM. For example, if x is the sample mean of delivery times for products ordered through the mail, x ± CONFIDENCE.NORM is a range of population means. For any population mean, μ0, in this range, the probability of obtaining a sample mean further from μ0 than x is greater than alpha; for any population mean, μ0, not in this range, the probability of obtaining a sample mean further from μ0 than x is less than alpha. In other words, assume that we use x, standard_dev, and size to construct a two-tailed test at significance level alpha of the hypothesis that the population mean is μ0. Then we will not reject that hypothesis if μ0 is in the confidence interval and will reject that hypothesis if μ0 is not in the confidence interval. The confidence interval does not allow us to infer that there is probability 1 – alpha that our next package will take a delivery time that is in the confidence interval.
Syntax
=Z.TEST(array,x,[sigma])=CONFIDENCE.NORM(alpha,standard_dev,size)Arguments
3 Arguments
array
x
sigma (Optional)
3 Arguments
alpha
standard_dev
size
Examples
4
1
Tips
2
2
★ Recommendation — Winner: =CONFIDENCE.NORM()
=CONFIDENCE.NORM() is recommended based on higher popularity, newer version and Dynamic Array support.