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University Introductory Statistics In the University Introductory Statistics bundle

University Introductory Statistics Discrete Random Variables — Unit Notes

Every definition and theorem this unit expects you to know, stated once each and written to be revised from: 6 definitions and 7 theorems, 6 worked examples, 2 diagrams, in 13 printable pages. This page lists what the notes cover. The notes themselves come with the University Introductory Statistics bundle.

Unit notes — in the bundle

13 pages 13 definitions & theorems 6 worked examples 25 key words 6 Try-it pairs, answered 13-row at-a-glance table 25-entry glossary Fill-in-the-blank guided twin 2 diagrams Letter size, print-ready

Not sold separately. The practice worksheet for this unit is free, with no email and no account.

Discrete Random Variables — what the notes cover

7 sections, in the order the unit is taught. Each entry below is the title of a definition or a theorem the notes state in full.

What you need

Also in this section: 1 note on method and common errors.

Mass functions and cumulative distributions

  • Definition — Discrete random variable and its probability mass function
  • Definition — Cumulative distribution function

Also in this section: 1 worked example, 1 note on method and common errors, 1 diagram.

Expected value

  • Definition — Expected value of a discrete random variable
  • Theorem — Expected value of a function of a random variable

Also in this section: 1 worked example, 1 note on method and common errors.

Variance and linear transformations

  • Definition — Variance and standard deviation
  • Theorem — Shortcut formula for the variance
  • Theorem — Mean and variance under a linear change of scale

Also in this section: 1 worked example, 1 note on method and common errors, 1 diagram.

Bernoulli trials and the binomial formula

  • Definition — Bernoulli trial and the binomial model
  • Theorem — Binomial probability formula

Also in this section: 1 worked example, 1 note on method and common errors.

Binomial tables, mean and variance

  • Theorem — Mean and variance of a binomial variable
  • Theorem — Probabilities from a cumulative table

Also in this section: 1 worked example, 1 note on method and common errors.

The Poisson distribution

  • Definition — Poisson random variable
  • Theorem — Poisson mean, variance and the rate over a new interval

Also in this section: 1 worked example, 1 note on method and common errors.

Where the notes are

The notes are one of the documents in the University Introductory Statistics Solutions Bundle, beside the unit test, the challenge problems and every worked answer key. The Discrete Random Variables practice worksheet is free and stays free.

Best value for the whole year

Every University Introductory Statistics topic — the complete Solutions Bundle

One download, one payment, the whole program. For all 9 University Introductory Statistics units: the worksheet, the reference notes, the challenge set, the unit test and every answer key — these notes included.

9 units · 36 PDFs · 186 pages$24.99
  • Worked solutions, not answer lists — every step written out
  • Covers the whole year's program at this level
  • Less than the price of one hour of tutoring — for the entire year's solutions
Everything paid, in one file $24.99CAD · one payment University Introductory Statistics bundle — coming soon Not on sale yet

Practise it, then test yourself

Notes on their own do not make anything stick. This unit has a free, printable practice worksheet, and an end-of-unit test that comes with the bundle.

Discrete Random Variables practice worksheet   About the Discrete Random Variables unit test

← All 9 University Introductory Statistics unit notes

Free practice worksheet

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