One Sample Z-Test Calculator

Known standard deviation

Tails: the default is two tailed test
one sample z-test video

Target: To check if the assumed μ0 is statistically correct, based on a sample average

Example1: A farmer calculated last year the average of the apples' weight in his apple orchard μ0 equals 17 kg, based on big sample
Current year he checked a small sample of apples and the sample average x equals 18 kg
Was the average of the apple's weight changed this year?

Assumptions

Normal Distribution Normal distribution
standard deviation The standard deviations of the population is known
mean Population expected mean is known

Required Sample Data

average Sample average of the population
sample size Sample size of the population

Hypotheses

H0: μ ≥ μ0 H0: μ = μ0 H0: μ ≤ μ0
H1: μ < μ0 H1: μ ≠ μ0 H1: μ > μ0

Test statistic

Z statistics

Normal distribution

Normal distributio1n left tailed Normal distribution two tailed Normal distribution right tailed

Test calculation

When enter raw data, the tool will run the Shapiro-Wilk normality test (when n≤5000) and calculate outliers, as part of the test calculation.
The test will validate the priori power

Statistic data

α: Significant level (0-1), maximum chance allowed rejecting H0 while H0 is correct (Type I Error)
outliers: It is not recommended to exclude outliers unless you know the reasons
The power is expected to identify the effect. If one exists, H0 will be rejected. effect size - the change the test is expected to identify
standardized effect size - the change divided by the standard deviation
effect ratio - the effect size is a ratio from the expected mean
or or enter summarized data (x, n, σ, S) in following form

Enter sample data

Header: You may change groups' name to the real names.
Data: When entering data, press Enter after each value

It is okay to leave empty cells, empty cells or non numeric cells won't be counted

Sample data

You may copy data from Excel, Google sheets or any tool that separate data with Tab and Line Feed.
Copy the data, one column includes the header, and paste below.


It is okay to leave empty cells, empty cells or non numeric cells won't be counted

Name:

x: sample average
μ0: expected population mean
n: sample size
σ: standard deviation
S: sample standard deviation, S is not mandatory, but will help to validate σ
skewness:
normality p-val: shapiro wilk test
outliers count: ,based on the Tukey's fences method, k=1.5


The difference between the expected SD and the sample SD

validation message