T-TESTS:

Student's two samples t-tests assuming equal variances; quickly comparing KPI or parameters'values for two different trial conditions (e.g., Old Reagent vs. New Reagent).

Students't-tests are completed without the pain of manually copying and pasting data for each conditions.
It also calculates the statistical significance of the differences (for 1 and 2 tails), the confidence levels and the confidence intervals in the differences for the provided alpha. They are all summarised in a table.


The cleaned input data Excel file should have the parameters or variables'names in the top cell of each column at the top row (e.g., date/timestamp, throughput, feed grade, recovery, etc..).
The parameters' values are in the rows below the parameters'names. See example in table below.

Date	Mill availability	Throughput	Feed grade	Concentrate grade	Tailing grade
1/01/2022	92%	1200	1.21	25.4	0.150
2/01/2022	95%	1220	1.18	26.1	0.145
...	...	...	...	...	...
31/07/2022	97%	1180	1.19	14.8	0.147

To use:

Choose the cleaned Excel (.xlsx) data file and click on "Upload to a table".

Select the parameters to complete t-tests and the two different conditions to compare (e.g., t-test for "recovery" between "shift" of type "day" and "night".

Provide the alpha value (e.g., 0.10 for 90 percent confidence interval calculation).

Click on "Calculate t-Tests".

Watch a Youtube video example here.

large files may take time to upload, please wait.

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Two sample t-Tests
t-Test for: Select between: Select of type: Select and: Select Select between: Select of type: Select and: Select Select between: Select of type: Select and: Select Select between: Select of type: Select and: Select Select between: Select of type: Select and: Select Select between: Select of type: Select and: Select Select between: Select of type: Select and: Select Select between: Select of type: Select and: Select Select between: Select of type: Select and: Select Select between: Select of type: Select and: Select
Assuming equal variance
Alpha: (hypothethised mean difference = 0)

(... and wait for the results to be shown in a a table below)

TWO SAMPLES T-TESTS

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