Textbook Notes
(363,062)

Canada
(158,169)

University of Toronto St. George
(10,473)

Sociology
(1,479)

SOC202H1
(21)

Scott Schieman
(5)

Chapter

# CH 5 textbook notes

Unlock Document

University of Toronto St. George

Sociology

SOC202H1

Scott Schieman

Winter

Description

CH5 – MEASURING DISPRESIONS OR SPREAD IN A DISTRIBUTION OF SCORES
DISPERSION – how the scores of an interval/ratio variable are spread out
form the lowest to highest and the shape of the distribution inbtwn The Standard Deviation as an Integral Part of Inferential Statistics
o Infinite possible distribution shapes for a variable w/ a given mean Standard deviation & mean useful for getting sense of proportions of
Spread may vary btwn populations individual variables under study
o DISPERSION STATISTICS – statistics that describe how the scores of an Inferential statistics: interest w/ understanding why individual scores of a
interval/ratio variable are spread across its distribution dependent variable deviate from its mean
Allows precise description of frequency of cases at any point in a o Entire sample level: interest w/ explain the variation
distribution –ex. where cases are concentrated o Individual subject level: deviations scores, standard deviation measure
of differences in scores for a variable among the subjects of a
THE RANGE – An expression of how the scores of an interval/ratio variable are population
distributed from lowest to highest
The distance btwn min. and max. scores found in a sample
Range = (max score – min score) + value of rounding unit
Weaknesses:
o 1. Very susceptible to outliers, more so than mean
o 2. Narrow informational scope: presents no info about shape of
distribution btwn extremes
THE STANDARD DEVIATION (S ) –xdescries how scores of an interval/ratio
variable are spread across the distribution in relation to the mean score.
A summary measurement of all scores in distribution
o Conveys how widely scores cluster around the mean
Focus: distance from the center (mean) towards both directions
Calculated w/ how far each score deviates form the mean
∑ ̅
√
Calculation steps:
o 1. Identify givens: Why is it Called the “Standard Deviation”?
= standard deviation Provides common unit of measure for comparing btwn different observed
̅ units of measure using z-score
= mean of all X Raw score – subject’s score on an interval/ratio variable in its original,
= sample size
o 2. Compute the mean observed units of measure
o 3. Computer Deviation Scores ̅
DEVIATION SCORE – ho

More
Less
Related notes for SOC202H1