Skip to main content
added 19 characters in body
Source Link
user603
  • 23k
  • 3
  • 88
  • 155

There are three types of statisticians;

  1. those that (prefer to) work with real data,
  2. those that (prefer to) work with simulated data,
  3. those that (prefer to) work with the symbol $X$.

math stat types would be (3). Typically, type (1) statisticians have some prefix attached to make clear the source of the data they work with (biostatistics, econometrics, psychometrics,....) because these fields have implicit shared assumptions about the data they use and thesome commonly accepted ordering of the plausibility of these assumptions.

There are three types of statisticians;

  1. those that (prefer to) work with real data,
  2. those that (prefer to) work with simulated data,
  3. those that (prefer to) work with the symbol $X$.

math stat types would be (3). Typically, type (1) statisticians have some prefix attached to make clear the source of the data they work with (biostatistics, econometrics, psychometrics,....) because these fields have implicit shared assumptions about the data they use and the ordering of the plausibility of these assumptions.

There are three types of statisticians;

  1. those that (prefer to) work with real data,
  2. those that (prefer to) work with simulated data,
  3. those that (prefer to) work with the symbol $X$.

math stat types would be (3). Typically, type (1) statisticians have some prefix attached to make clear the source of the data they work with (biostatistics, econometrics, psychometrics,....) because these fields have implicit shared assumptions about the data they use and some commonly accepted ordering of the plausibility of these assumptions.

added 2 characters in body
Source Link
user603
  • 23k
  • 3
  • 88
  • 155

There are three types of statisticians;

  1. those that (prefer to) work with real data,
  2. those that (prefer to) work with simulated data,
  3. those that (prefer to) work with the symbol $X$.

math stat types would be (3). Typically, type (1) statisticians have some prefix attached to make clear the source of the data they work with (biostatistics, econometrics, psychometrics,....) because these fields have implicit shared assumptions about the data they use and the ordering of the 'severity'plausibility of these assumptions.

There are three types of statisticians;

  1. those that (prefer to) work with real data,
  2. those that (prefer to) work with simulated data,
  3. those that (prefer to) work with the symbol $X$.

math stat types would be (3). Typically, type (1) statisticians have some prefix attached to make clear the source of the data they work with (biostatistics, econometrics, psychometrics,....) because these fields have implicit shared assumptions about the data they use and the ordering of the 'severity' of these assumptions.

There are three types of statisticians;

  1. those that (prefer to) work with real data,
  2. those that (prefer to) work with simulated data,
  3. those that (prefer to) work with the symbol $X$.

math stat types would be (3). Typically, type (1) statisticians have some prefix attached to make clear the source of the data they work with (biostatistics, econometrics, psychometrics,....) because these fields have implicit shared assumptions about the data they use and the ordering of the plausibility of these assumptions.

Source Link
user603
  • 23k
  • 3
  • 88
  • 155

There are three types of statisticians;

  1. those that (prefer to) work with real data,
  2. those that (prefer to) work with simulated data,
  3. those that (prefer to) work with the symbol $X$.

math stat types would be (3). Typically, type (1) statisticians have some prefix attached to make clear the source of the data they work with (biostatistics, econometrics, psychometrics,....) because these fields have implicit shared assumptions about the data they use and the ordering of the 'severity' of these assumptions.