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- T-Test - is employed when neither the population variance nor the standard deviation are known.
- What random variable chance numbers
- Similar to a z-test, a t-test likewise presumes that the sample has a normal distribution.
- Do a t-test when the variance is unknown and the sample size is less than 30 (n 30), presuming that the population is normally distributed or nearly so.
- If the population standard deviation is known or unknown, you must decide on the test statistic (z-test or t-test).
- STATISTICS FOR TESTA hypothesis test uses sample data to calculate a random variable known as a test statistic.
- If the population standard deviation is known or unknown, you must decide on the test statistic (z-test or t-test).
- Z-test- is used to verify a claim that the sample taken is representative of the same population
- A z-test presumes that the sample is regularly distributed. Population parameters like population mean and population standard deviation are used to construct a z-score.
- Use the z test when the variance is known, the distribution is normal, or the sample size is big (in this case, larger than or equal to 30).
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