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This finding, like the finding from the confidence interval, suggests that you are not likely to find a difference this large if the true difference in average test scores is zero. Erman, Adolf; Grapow, Hermann(1931) Wörterbuch der ägyptischen Sprache‎ [2], volume 5, Berlin: Akademie-Verlag, →ISBN, page209.

Small t with mid-height left hook was used by the British and Foreign Bible Society in the early 20th century for romanization of the Malayalam language. In English, it is most commonly used to represent the voiceless alveolar plosive, a sound it also denotes in the International Phonetic Alphabet. Using a two-tailed t-test, you generate an estimate of the difference between the two classes and a confidence interval around that estimate. A common digraph is ⟨th⟩, which usually represents a dental fricative, but occasionally represents /t/ (as in Thomas and thyme. If you want to know whether one population mean is greater than or less than the other, perform a one-tailed t test.

Example of a confidence intervalYou have sampled 20 students from two different classes to estimate the mean standardized test scores and want to know if there is a difference between the two groups.

If you are constructing a 95% confidence interval and are using a threshold of statistical significance of p = 0. It is derived from the Semitic Taw 𐤕 of the Phoenician and Paleo-Hebrew script ( Aramaic and Hebrew Taw ת/𐡕/ , Syriac Taw ܬ, and Arabic ت Tāʼ) via the Greek letter τ ( tau). You don’t care about the direction of the difference, only whether there is a difference, so you choose to use a two-tailed t test. It is the most commonly used consonant and the second-most commonly used letter in English-language texts.The test statistic tells you how different two or more groups are from the overall population mean, or how different a linear slope is from the slope predicted by a null hypothesis. It describes how far your observed data is from the null hypothesis of no relationship between variables or no difference among sample groups.

Statistical tests generate a test statistic showing how far from the null hypothesis of the statistical test your data is. They then calculate a p-value that describes the likelihood of your data occurring if the null hypothesis were true.See the Kashubian alphabet article on Wikipedia for more, and t for development of the glyph itself.