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Lecture 1

# SOCY 211 Lecture Notes - Lecture 1: Statistical Population, Statistical Inference, Descriptive Statistics

by OC754016

School

Queen's UniversityDepartment

Social Sci, Edu and Soc Work - SociologyCourse Code

SOCY 211Professor

William NelsonLecture

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W1 What is Statistics

-1.1 What on Earth is Statistics?

•Learning data and measuring/controlling it to communicate it accordingly. Making

sense of data.

•Examples of matching data to scientific questions. Such as preventing, disease,

pollution and targeting consumers.

•Statistics can isolate certain data to highlight other parts of data.

-1.4 Statistical populations, samples, units

•Observation unit: what you measure something about

•Sampling unit: a single element is sampled

•Statistical population: the group of all sampling units of interest

•Sample: a random subset of the statistical population

•Measurement variable: the data collected

•Measurement unit: scale for the data

-1.5 Statistical Inference

•Statistical inference for a single population: starts with descriptive statistics (means,

medians and modes) then use statistical methods that allows us to make

inferences about the population. Scaling from sample to larger population.

-Population - sampling - Sample - measuring - Unit - Statistical analysis -

Inference

•Statistical inference among population: comparing 2 different populations.

-Define population, collect a sample, observe the observation units, preform

statical analysis to make inference about population and use that to compare the

2 different populations

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