Segments in this Video

The Normal Curve (03:58)


Professor Naomi Lowe explains how Z-scores relate to the normal curve. Z-scores provide information about one score relative to other scores. The Z table represents values under the normal curve.

The Z Table (06:45)

The Z table is used to determine the percentage a Z score is from the mean and what area remains in the tail under the normal curve. Lowe demonstrates how to use the Z table.

Using the Z Score (07:44)

To calculate the percentage area above or below a raw score or Z score, first draw a normal curve, estimate where the Z score falls, and shade the area. Lowe works through examples using the Z table.

Percentage to Z Score (04:29)

Lowe walks through the steps to calculate a Z score or raw score when only a percentage is provided.

Samples and Populations (07:49)

A population includes all members of a defined group, and a sample is a part of the population used to draw conclusions about the population. Methods of sampling include random and haphazard selection. Sample statistics are used to draw conclusions about population parameters.

Probability (05:35)

Probability is the expected relative frequency of a particular outcome with a range of 0 to 1. The equation for probability is the possible successful outcomes divided by all possible outcomes.

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Z-Scores and the Normal Curve: Lecture 3, Part 2

Part of the Series : Statistics With Naomi Lowe
DVD (Chaptered) Price: $129.95
DVD + 3-Year Streaming Price: $194.93
3-Year Streaming Price: $129.95



In this video lecture, Professor Naomi Lowe explains how Z-scores relate to the normal curve, discusses samples and population, and looks at probability.

Length: 37 minutes

Item#: BVL150103

ISBN: 978-1-64347-555-4

Copyright date: ©2010

Closed Captioned

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