There is an independent samples t-test (this example) that compares two samples to each other. There is the one sample t-test that compares a single sample to a known population value. Step 2: Calculating the t-test statistic for an independent samples t-test Our sample size of the NYC sample is n2 = 22 and the std dev s2 is. Our sample size of the Queens sample is n1 = 20 and the std dev s1 is. We will determine if there is a significant difference. This is best as a t-test because we are comparing two sample means. Ho: mean espresso in a latte in Queens ≠ mean espresso in a latte in NYC Ho: mean espresso in a latte in Queens = mean espresso in a latte in NYC 05 and run an independent samples t-test to determine if there is a significant difference between the amount of espresso between the two coffee shop lattes. if espresso per latte and a standard deviation of. 12 oz.Ī sample of 22 lattes is then taken from the NYC store and is determined to have a sample mean of 4.2 oz. of espresso per latte with a sample standard deviation of. The coffee chain owner wants to make sure that all lattes are consistent between the two locations.Ī sample of 20 lattes is collected from the Queens store and is determined to have a sample mean of 4.1 oz. An independent samples t-test hypothesis test example By HandĪ coffee chain has two locations, one in Queens and one in NYC.
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