biometrics notes (2)

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module two

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23 Terms

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Descriptive Statistics

Statistics that focus on summarizing and presenting data effectively.

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Qualitative Data

Data that includes nominal and ordinal variables, showing relative proportions in various categories.

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Circle Graph (Pie Chart)

A graph that shows the relative proportions of different categories, must include a title and legend.

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Bar Graph

A graph displaying frequencies or relative frequencies using bars, must have title, labeled axes, and clear categories.

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Frequency vs. Relative Frequency

Frequency is the actual count of occurrences, while relative frequency is the proportion (%) of occurrences in a dataset.

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Quantitative Data

Numerical data that can be discrete (specific values) or continuous (range of values).

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Stem and Leaf Diagram

A graph that retains original data values while showing the distribution.

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Frequency Distribution

A table showing values (x) and their frequencies (y), where bars must touch.

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Frequency Histogram

A graph that displays grouped data with touching bars.

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Measures of Central Tendency

Statistics that describe the center of a dataset: mean, median, and mode.

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Mean

Arithmetic average calculated by adding all values and dividing by the number of observations.

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Median

The middle value of a dataset; calculated differently for odd and even number of observations.

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Mode

The most frequent value in a dataset, which can be bimodal or multimodal.

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Range

The difference between the maximum and minimum values in a dataset.

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Variance (s²)

A measure of the average squared deviation from the mean.

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Standard Deviation (s)

The square root of variance, expressing the spread of data in the same unit as the data.

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Percentiles

Values below which a certain percentage of data falls.

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Quartiles

Values that divide the dataset into four equal parts.

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Box-and-Whisker Plot

A graph that visualizes minimum, Q1, median (Q2), Q3, and maximum, showing outliers and spread.

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Skewed Distribution

A representation of data where it is not symmetrical, indicating a skew in the mean, median, and mode.

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Correlation ≠ Causation

The principle stating that correlation between two variables does not imply that one causes the other.

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Misleading Graphs

Graphs that distort information through techniques like truncation, 3D effects, or axis mislabeling.

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Open Access to Research

Requirement for taxpayer-funded research to be freely available to the public.