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These flashcards cover key concepts related to normal distribution, characteristics, and applications as discussed in the lecture notes.
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Normal Distribution
A bell-shaped distribution where data is symmetrically distributed around the mean, median, and mode.
Mean, Median, Mode
In a normal distribution, the mean, median, and mode are all equal.
Skewed Distribution
A distribution that is asymmetrical or lopsided, either left or right, where the mean is not equal to the median and mode.
Bimodal Distribution
A distribution with two modes or peaks, indicating the presence of two sub-groups.
Standard Deviation
A measure of how spread out the values in a data set are around the mean.
Empirical Rule
In a normal distribution, approximately 68% of data falls within one standard deviation of the mean, 95% within two, and 99.7% within three.
Outliers
Values in a dataset that are significantly higher or lower than the majority of the data.
Symmetric Distribution
A distribution where the left and right sides are mirror images of each other.
Percentile
A measure that indicates the value below which a given percentage of observations fall.
Standard Score (Z-score)
A statistical measurement that describes a value's relation to the mean of a group of values, expressed in terms of standard deviations.