Stats 3.4Concept7 parts

Random Variables, Expectation and Variance

Describe an uncertain quantity by its distribution, its average and its spread.

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In this lesson7 parts

  1. 01Which rule costs less under stated assumptions?
  2. 02Give each client an outcome and an assumed cost
  3. 03Compute the first rule's expected cost
  4. 04Compare the second rule on the same clients
  5. 05Variance describes how uneven individual costs are
  6. 06Change an assumption, not the history
  7. 07Reproduce, decide, and hand off

Key terms

The words this lesson introduces, each in one line. The module’s glossary collects them all.

review rule
A declared test that assigns each row to review or no review, such as PAY_0 > 0.
outcome cell
One combination of assigned action and recorded label, such as a missed default.
cost matrix
An assumed cost for each action × outcome combination: $1,000 per missed default, $100 per reviewed nondefault, $0 otherwise.
random variable
A numeric value assigned to each possible outcome; here, a randomly chosen client's assigned cost.
discrete outcome
One of a countable set of values: $0, $100 or $1,000.
continuous random variable
Under a model, any value in an interval is possible, such as a review time from 0 to 10 minutes.
uniform distribution
Equal-length intervals have equal probability: 2 to 4 minutes has 20% under the 0–10 model.
expected value
The probability-weighted average of a random variable's possible values.
long-run average (narration)
The value a running average of repeated random draws tends toward: the expected value, by the law of large numbers.
expected cost
Average assigned cost under the stated outcome frequencies and cost matrix: $117.75 for PAY_0 > 0, $97.98 for PAY_0 >= 0.
empirical variance
The mean of squared distances from the empirical mean, in squared units.
standard deviation
Square root of variance, in the original units: about $306.02 for the first rule's costs.

Quiz 5 questions

Your first pick on each question is the one that counts, and a right one earns a coin. Getting one wrong here is how the lesson sticks.

Practice

Problems to solve in your own notebook. Each states the problem, not the steps: working out the steps is the exercise. Level A applies the lesson, B combines it with earlier ones, C stretches it.

The self-checking notebook for this lesson is Random variables, expectation and variance.

Common mistakes

What you will see when it goes wrong, why it happens, and the fix.

Where it’s used

Where this lesson’s ideas turn up in real work.