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What is the definition of Normal Distribution?

A symmetrical, unimodal, continuous probability distribution where Mean = Median = Mode.

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What is the definition of Normal Distribution?

A symmetrical, unimodal, continuous probability distribution where Mean = Median = Mode.

What is the definition of Mean (μ)?

The arithmetic average of the data; the center of the normal distribution.

What is the definition of Standard Deviation (σ)?

A measure of the dispersion or spread of data around the mean in a normal distribution.

What is the definition of Z-score?

The number of standard deviations a data point is from the mean.

What is the definition of Percentile?

The percentage of data that falls below a certain value.

What is the formula for calculating a Z-score?

z=xμσz = \frac{x - \mu}{\sigma}

What is the formula for calculating the z-score, given a data point (x), a mean (μ), and a standard deviation (σ)?

z=xμσz = \frac{x - \mu}{\sigma}

What are the differences between Z-scores and Percentiles?

Z-score: Measures standard deviations from the mean. | Percentile: Percentage of data below a value.

What are the differences between using the Large Counts Condition and the Central Limit Theorem to check for normality?

Large Counts Condition: Used for categorical data (proportions). | Central Limit Theorem: Used for quantitative data (means) with a sample size of at least 30.