Q: A rule or standard on which a judgement can be based?

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Anything you like. You specify whatever rule you like and the resulting set of numbers is the sequence based on that rule.

An empirical rule indicates a probability distribution function for a variable which is based on repeated trials.

gentleness

Standard notation (in the UK) is the same as scientific notation. So the one rule to use is DO NOTHING!

The seniority rule functions by looking at the number of years one has been in an institution. This is an ideology that is based on hierarchical age.

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Judgement based on what has been observed is a conclusion.

instead of being a government based on the rule of the king it was based upon the rule of the majorityMajority

a theroy based on an judgement is called the effect

A decision is choice based on an examination of facts whereas judgement is choice based on values. Either can be right or wrong or objective or subjective depending on criteria.

Rule 69 hearings are part of Colorado civil law. Judgement debtors must have a subpeona to appear before a judge.

Subjective distinction refers to a differentiation that is based on personal opinions, feelings, or experiences rather than objective criteria. It is a judgement made subjectively rather than through a universally agreed-upon standard.

No republic is based on minority rule. On the contrary, republics are based on every adult having a vote, -this is called MAJORITY rule

The idea that hiring should be based on entrance exams and promotion ratings to create an administration by people with talent and skill.

That's a matter for personal judgement, which may be based on many factors.

The bell curve, also known as the normal distribution, is a symmetrical probability distribution that follows the empirical rule. The empirical rule states that for approximately 68% of the data, it lies within one standard deviation of the mean, 95% within two standard deviations, and 99.7% within three standard deviations when data follows a normal distribution. This relationship allows us to make predictions about data distribution based on these rules.