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Lecture 1

# GPHY 247 Lecture Notes - Lecture 1: Statistical Population, Statistical Inference, Descriptive Statistics

by OC754016

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1

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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