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The plus sign (+) and the minus sign (−) are mathematical symbols used to denote positive and negative functions, respectively. In addition, the symbol + represents the operation of addition , which results in a sum , while the symbol − represents subtraction , resulting in a difference . [ 1 ]
The plus and minus symbols are used to show the sign of a number. In mathematics, the sign of a real number is its property of being either positive, negative, or 0.Depending on local conventions, zero may be considered as having its own unique sign, having no sign, or having both positive and negative sign.
The plus–minus sign or plus-or-minus sign (±) and the complementary minus-or-plus sign (∓) are symbols with broadly similar multiple meanings. In mathematics , the ± sign generally indicates a choice of exactly two possible values, one of which is obtained through addition and the other through subtraction .
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The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.
Subtraction is anti-commutative, meaning that if one reverses the terms in a difference left-to-right, the result is the negative of the original result. Symbolically, if a and b are any two numbers, then a − b = −(b − a).
The word negative would be used to say that the quantity x is negative, if it equals minus 5. On the other hand, we say "6 minus minus 5 is 11", whereas in the usage of the last comment, we could say, more clearly, "6 minus negative 5 is 11". But if we really want to be that clear, we also have available "6 subtract minus 5 is 11".
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.