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¯ = sample mean of differences d 0 {\displaystyle d_{0}} = hypothesized population mean difference s d {\displaystyle s_{d}} = standard deviation of differences
Random variables are usually written in upper case Roman letters, such as or and so on. Random variables, in this context, usually refer to something in words, such as "the height of a subject" for a continuous variable, or "the number of cars in the school car park" for a discrete variable, or "the colour of the next bicycle" for a categorical variable.
Hyphen: Dash, Hyphen-minus-Hyphen-minus: Dash, Hyphen, Minus sign ☞ Index: Manicule, Obelus (medieval usage) · Interpunct: Full-stop, Period, Decimal separator, Dot operator ‽ Interrobang (combined 'Question mark' and 'Exclamation mark') Inverted question and exclamation marks ¡ Inverted exclamation mark: Exclamation mark, Interrobang ...
The hyphen-minus symbol (-) is the form of hyphen most commonly used in digital documents. On most keyboards, it is the only character that resembles a minus sign or a dash so it is also used for these. [27] The name hyphen-minus derives from the original ASCII standard, [28] where it was called hyphen–(minus). [29]
In statistics and probability theory, a tilde placed on top of a variable is sometimes used to represent the median of that variable; thus ~ would indicate the median of the variable . A tilde over the letter n ( n ~ {\displaystyle {\tilde {n}}} ) is sometimes used to indicate the harmonic mean .
The hyphen ‐ is a punctuation mark used to join words and to separate syllables of a single word. The use of hyphens is called hyphenation. [1]The hyphen is sometimes confused with dashes (en dash –, em dash — and others), which are wider, or with the minus sign −, which is also wider and usually drawn a little higher to match the crossbar in the plus sign +.
A hyphenation algorithm is a set of rules, especially one codified for implementation in a computer program, that decides at which points a word can be broken over two lines with a hyphen. For example, a hyphenation algorithm might decide that impeachment can be broken as impeach-ment or im-peachment but not impe-achment .
Referring to statistical significance does not necessarily mean that the overall result is significant in real world terms. For example, in a large study of a drug it may be shown that the drug has a statistically significant but very small beneficial effect, such that the drug is unlikely to help the patient noticeably.