Comparison of online stat. sig. calculators

Videos and training materials about testing often recommend you "use an online statistics calculator" to find the right sample size or to find out if the results from your test are statistically significant (rejects the null hypothesis), but they never say which one or how to find and compare them. I, as a Business Analytics Manager, have also made the same mistake with my team of Business Analysts. It so happens to be a lot of online calculators to help people with testing. And each one has peculiarities about what kind of test they help you perform or what premises they use under the hood.

It's hard to pick the best one, given they are so prolific and differ in purpose, inputs, and outputs. None of the ones I found are wrong, even if they give out different results, it's just because they consider different premises. Nevertheless, it is noticeable that all of them were built with effort and care from the developers, who, no doubt, dedicated their time and energy to building something good and useful for others to enjoy. So, thank you, good Samaritan developers.

To help testers, including my own Business Analyst team, navigate the abundant volume of online statistics calculators and build great tests, I put together this table below comparing the most popular (according to Google search) online calculators that have to do with testing, sample sizing and statistical significance verification. I hope it helps you. Enjoy!

Calculator		Supported types of test				Inputs (user can set)	Premised (user cannot set)	Output
		One sample proportion	One sample mean	Two samples proportion	Two samples mean
	samplesizecalculator.github.io	Yes	Yes	Yes	Yes	or ( and ), CL, CI, , tails according to the selected type of test	power but results for power=80% are shown in the details below the answer, pop ∞
infrrr	infrrr.com	Yes	Yes	Yes	Yes	or ( and ), , CL, , tails	power, pop ∞	hypothesis evaluation (says if it is statistically significant or not) with p-value
Statistics Kingdom	statskingdom.com/mean-tests.html	Yes	Yes	Yes	Yes	or ( and ), CL, CI, , tails, choose between Z-test (assumes normal distribution) or t-test (assumes student's t distribution)	pop ∞	hypothesis evaluation (says if it is statistically significant or not) with p-value and power
	abtestresult.com/test-analysis	No	No	Yes	Yes	and or ( , , and ), , CL, tails	power, pop ∞	hypothesis evaluation (says if it is statistically significant or not) with p-value and cool charts
	abtestresult.com/sample-size-calculator	No	No	Yes	Yes	or ( and ), CL, power, MDE, tails	groups have the same size, pop ∞
	sample-size.net/confidence-interval-proportion	Yes	No	No	No	, CL,	power, two-tails	CI
	sample-size.net/sample-size-conf-interval-proportion	Yes	No	No	No	, CL, pop, MDE	power, two-tails
	sample-size.net/confidence-interval-mean	No	Yes	No	No	, , CL,	power, two-tails	CI
	sample-size.net/proportions-effect-size	No	No	Yes	No	, CL, power, , , left or right tail	one-tail, pop ∞
	sample-size.net/sample-size-proportions	No	No	Yes	No	, , CL, power,	two-tails, pop ∞
	sample-size.net/means-effect-size	No	No	No	Yes	, CL, power, ,	two-tails, pop ∞	CI
	sample-size.net/sample-size-means	No	No	No	Yes	, CL, power,	two-tails, pop ∞
	365datascience.com/calculators/confidence-interval-calculator	No	Yes	No	No	, , CL,	power, two-tails	CI
	365datascience.com/calculators/hypothesis-test-calculator	No	Yes	No	No	, , , CL, , tails	power	hypothesis evaluation (says if it is statistically significant or not) with p-value
	365datascience.com/calculators/difference-in-means-calculator	No	No	No	Yes	, , , , CL, , tails, choose between dependent and independent samples, choose between equal or unequal variances	power	hypothesis evaluation (says if it is statistically significant or not) with p-value
	bookingcom.github.io/powercalculator/	No	No	Yes	Yes	or ( and ), CL, power, MDE (to output ), (to output MDE), tails	groups have the same size, pop ∞	or MDE
	calculator.net/sample-size-calculator.html	Yes	No	No	No	, CL, pop, MDE (to output ), (to output MDE)	power, two-tails	or MDE
	calculator.net/confidence-interval-calculator.html	No	Yes	No	No	, , CL,	power, two-tails, pop ∞	CI
	abtestguide.com/calc	No	No	Yes	No	, , , , CL, tails	pop ∞	hypothesis evaluation (says if it is statistically significant or not) with p-value and power
	abtestguide.com/abtestsize	No	No	Yes	No	, CL, power MDE, tails	pop ∞
	surveymonkey.com/mp/sample-size-calculator questionpro.com/sample-size-calculator qualtrics.com/blog/calculating-sample-size	Yes	No	No	No	CL, pop, MDE	=50%, power, two-tails
	raosoft.com/samplesize.html select-statistics.co.uk/calculators/sample-size-calculator-population-proportion	Yes	No	No	No	, CL, pop, MDE	power, two-tails

Legend:
• proportion, or rate that is being measured in the test.
• average of a continuous variable that is being measured in the test.
• standard deviation of the continuous variable.
• p-value probability of obtaining the observed results when the null hypothesis is true.
• CL Confidence Level (usually 95%), complementary to the minimum acceptable p-value α.
• CI Confidence Interval, the accepted precision around the measured metric.
• MDE Minimum Detectable Effect is another way to refer to the accepted precision around the measured metric.
• sample size (or sample sizes).
• ratio between the sizes of the two samples.
• tails represent if the test has one (non-inferiority or superiority) or two (difference either larger or smaller) tails.
• power is the statistical power of the test, related to the risk of rejecting the null hypothesis when it's true.
• power means the calculator does not consider any special treatment for guaranteeing a certain power level.
• "pop" size of the total population being targeted by the test (not only the sampled observations)
• "pop ∞" means the calculator considers the population to be large enough not to matter to the test.
• population mean.