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Lecture 1

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

Course Code
GPHY 247
William Nelson

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Thursday, January 7, 2016
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 -
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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