In Excel: use the appropriate test function, such as =T.TEST(array1,array2,2,2) for a two-tailed two-sample t-test, and interpret the result against your chosen alpha level.
On this page7
Choose the statistical test before writing the formula.
Put each sample in a clean numeric range.
Use the matching Excel test function and tail/type arguments.
Report p-value with sample sizes and the test used.
Need it as an auditable file?
Ships inside the linked template — formula-driven, unlocked, audit-ready.
What this does
A p-value is not a generic spreadsheet statistic; it comes from a specific hypothesis test. Excel can calculate p-values with T.TEST, Z.TEST, CHISQ.TEST and Data Analysis ToolPak outputs. The right function depends on the design, distribution assumptions and whether the test is one-tailed or two-tailed. Most people learn this as a sequence of clicks and forget it by next week; learning it as a pattern instead is what lets you apply it to the next, slightly different version of the problem without starting from scratch. That is the difference this page is trying to make. For “compute p value in excel”, the reliable version is a short checking loop, not just the first command that appears to work. Run it on a deliberately small range first, watch how the affected cells change, and only then apply the same setup to the full sheet. When a formula is involved, keep the inputs labelled beside it, reference cells instead of typing values, and apply number formatting only after the result checks out. That is what makes a calculation you can defend to a CFO or an auditor useful in real work: repeatable, auditable, and not dependent on memory or luck.
A worked example
Scores before training are in A2:A21 and after training in B2:B21 for separate groups. =T.TEST(A2:A21,B2:B21,2,2) returns the two-tailed p-value for a two-sample equal-variance t-test. If p is 0.03 and alpha is 0.05, the difference is statistically significant under that test. P-value content needs caution because users can easily produce a number that looks authoritative but comes from the wrong test. If there is any chance you will reuse this, drop it into a small template tab right now: a labelled input area on the left and the formula beside it, checked once against the tool above. Next time the same question comes up, the answer is a single paste away instead of a rebuild from memory.
In Google Sheets
Google Sheets handles this almost identically to Excel. The formula syntax above is the same, and the menu lives under a slightly different label rather than a ribbon tab. Use the platform toggle at the top of the page to switch every keyboard shortcut between Windows and Mac, and expect at most cosmetic differences in naming. Nothing on this page is behind a login or a download: the exact answer is at the top, and the detail below it is there for when you need it. That is the whole promise here — the answer first, and just enough context to make it stick. Treat “compute p value in excel” as a small building block rather than a chore. Once the inputs sit in their own cells and the formula reads from them, the same setup answers a dozen related questions with a tweak, and Excel keeps every dependent figure current as the data changes. The tool above is there so you can rehearse and verify before committing anything to a real workbook; the steps and worked example are there so the logic sticks. Get it right once and it stops costing you time — it starts saving it, every time the question comes back around.
Common mistakes
- Using
T.TESTfor every p-value question. - Ignoring paired versus unpaired samples.
- Treating p-value as effect size.
- Changing one-tailed versus two-tailed after seeing results.
Frequently asked questions
Which Excel function gives a p-value?
It depends on the test: T.TEST, Z.TEST, CHISQ.TEST and ToolPak tests can return p-values.
Is p < 0.05 always significant?
Only relative to a prechosen alpha and suitable test assumptions.
Does p-value show importance?
No. It is evidence against a null hypothesis, not effect size.