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?
|The standard deviations of the population is known|
|Population expected mean is known|
|Sample average of the population|
|Sample size of the population|
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
Header: You may change groups' name to the real names.
Data: When entering data, press Enter after each value
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.
|μ0:||expected population mean|
|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