# BIOL 243 Lecture Notes - Lecture 1: Statistical Population, Statistical Inference, Descriptive Statistics

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25 Aug 2016

School

Department

Course

Professor

BIOL 243

Week 1

What is Statistics?

Science of learning from data, and of measuring, controlling, and communicating uncertainty

Descriptive statistics:

Descriptions of data of your sample

oGraphs, tables… etc.

oVariation (mean, average... etc.)

Inferential statistics:

Looking at things we have not looked at, which is beyond our sample

Term Example

Observation unit: Subject you collect data about Cow

Statistical population: Group of all observational units

of interest

The population must have the potential to be

observed and measured

Entire heard of cows

Sample: random subset of the statistical population 20 Cows from the heard

Consistency: Must be consistent with;

Observation unit > sample > statistical population > question

Term Example

Measurement variables: Data collected

Take multiple measurements from each

observational unit

Describes them

A persons income, work, gender.. etc

Measurement unit: Scale of data Income in dollars

Work in hours

Descriptive statistics:

Means, median

Inter-quartile range

Inference about the population:

Scaling what we learned about our sample to the whole population

Statistical Inference:

Statement about the population based on our sample

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