AP Biology - Unit 0 Statistics

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pg. 16 - 26

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21 Terms

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Descriptive Statistics

Methods used to summarize observations in data or variability.

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Inferential Statistics

Using observations to make estimates or pedications by generalizing a sample to a population.

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Sample

A small and random group selected from a population as a representative.

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Population

All members of the group being studied.

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Histogram

A visualization of the distribution of quantitative data: the x-axis is the data while the y-axis is the frequency.

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<p>Normal Distribution</p>

Normal Distribution

Symmetric and Unimodal (often “approximately normal” distribution)

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<p>Uniform Distribution</p>

Uniform Distribution

Symmetric or Asymmetric, all outcomes are equally likely

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<p>Bimodal Distribution</p>

Bimodal Distribution

Symmetric or Asymmetric, Two Modes, Possibly Skewed

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<p>Positive Skewed</p>

Positive Skewed

Right Skewed, Unimodal

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<p>Negative Skewed</p>

Negative Skewed

Left Skewed, Unimodal

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<p>Standard Deviations</p>

Standard Deviations

Used to describe a normal dirstirbution in combination with the mean, with the data being spread out at (± # SD) (avg. amount the data deviates from the mean)

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Standard Deviation Percentages

68% percent, 95% percent, and 99.7% percent

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Approximately Normal Distributions

Meam = Median = Mode

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Interquartile Range (IQR)

Used to describe non-normal distributions and measures the spread of the middle 50% of data.

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Central Tendancy of Skewed Distributions

The median is the least distorted by skewed data.

<p>The median is the least distorted by skewed data.</p>
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To solve for the IQR:

Q3 - Q1 = IQR

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IQR is represented by the…

Box and Whisker Plot

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The percentages for each quartile in the IQR are:

25% (Q1), 50% (Q2), 75% (Q3) and 100% (Q4)

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The Q2 is equal to the data's…

Median

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The Standard Error of the Mean (SEM)

Used to assess how accurately the sample estimates the actual population mean. (Mean ± 2 SEM)

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The 95% CI (Confidence Intervals)

The upper and lower error bars around a the data's mean in a graph to show if results indicate a significant statistical difference.