BS161: Lecture 1 - Intro to Statistics

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29 Terms

1
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What is Epistemology?

Branch that tells us where knowledge comes from

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What is Empiricism?

Knowledge based on experience

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Science is Empirical, what does this mean?

Materials and tools needed

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What is the Population in a Stats Test?

Everything we want to measure

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What is the Sample in a Stats Test?

What we can measure

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What are Discrete Variables?

No intermediate values, fixed

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What are Continuous Variables?

Infinite values between 2 values

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What are Categorical Variables?

Groups/categories

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How are Ranked Variables different to Categorical Variables?

Ranked if groups can be sorted

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What is the purpose of the Descriptive Statistics of Centrality?

Unique numbers that summarise sample trends

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What are the Descriptive Statistics of Centrality?

Mean, Median, Mode

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Can Dispersion Patterns be different?

Datasets w/ same mean & sample size can have different dispersion patterns

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What is the purpose of the Descriptive Stats of Dispersion?

Unique numbers that summarize sample variability

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What are the Descriptive Statistics of Dispersion?

Range, Variance, Standard Deviation

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What is Variance?

Average of squared differences

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When are Histograms used?

1 numeric variable

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What are Histograms used for?

Exploring data distribution

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When are Scatter Plots used?

2 numeric variables

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What are Scatter Plots used for?

Relationship between 2 values

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When are Bar Plots used?

1 numeric variable

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What are Bar Plots used for?

Differences between data

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When are Box Plots used?

1 numerical, and 1 categorical variable

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What are Box Plots used for?

Differences between categories

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What does the IQR Measure?

Spread of the central 50% of the data

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Which graph type is most appropriate for categorical data?

Bar chart

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Parameter

numerical summary describing a population

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Statistic

numerical summary of a sample

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Standard Error

SD of sampling distribution

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Effect of increasing sample size on standard error

Decreases