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