**Common questions about the HYPGEOM.DIST formula:**

- What does the HYPGEOM.DIST formula do?

- How do you use the HYPGEOM.DIST formula?

**How can the HYPGEOM.DIST formula be used appropriately?**

The HYPGEOM.DIST formula can be used to calculate the probability that in a given sample of a population, a certain number of successes or failures will occur. The formula requires the three parameters: the total number of events, the number of successes in the sample, and the population size.

**How can the HYPGEOM.DIST formula be commonly mistyped?**

The formula is commonly mistyped as HYPGEOM, without the ".DIST" suffix, or HYPOGEOM.DIST, with the incorrect spelling of HYPGEOM. Other common misspellings are HYPEGEOM.DIST, HYPGEO.DIST, HYPGEOM.DITS, HYPGEOM.DTS.

**What are some common ways the HYPGEOM.DIST formula is used inappropriately?**

The HYPGEOM.DIST formula is commonly used incorrectly when the wrong parameters are specified or when the formula is used with data that is not appropriate for the formula.

**What are some common pitfalls when using the HYPGEOM.DIST formula?**

Common pitfalls when using the HYPGEOM.DIST formula include not properly setting the parameters correctly, confusing the parameters (i.e. not understanding the difference between sample size and sample successes/failures) and not understanding the limitations of the formula (it only works when the sample size is less than 5% of the population).

**What are common mistakes when using the HYPGEOM.DIST Formula?**

Common mistakes when using the HYPGEOM.DIST Formula include not setting the parameters correctly, not understanding the differences between sample successes and sample size, not accounting for population size, and not understanding the limitations of the formula.

**What are common misconceptions people might have with the HYPGEOM.DIST Formula?**

Common misconceptions people might have with the HYPGEOM.DIST Formula include thinking that it can be used as a general probability calculator, thinking that it can be used to calculate binomial distributions, and not understanding the parameters or limitations of the formula.