Statistical Concepts and Techniques

Front

Multiple comparisons testing is needed when multiple hypotheses are tested, increasing the chance of false positives.

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Why is Multiple Comparisons Testing Needed?

Front

The standard deviation measures the amount of variation or dispersion in a dataset.

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Standard Deviation (σ)

Front

The amount of variation or dispersion in a dataset.

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Variance

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The number of extreme values in a dataset.

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Outliers

Front

The total number of observations in a dataset.

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Sample Size

Front

A data point that is distant from other values in the dataset.

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Outlier

Front

A value that is always removed in statistical models.

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Outlier

Front

Outliers make all statistical tests invalid.

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False

Front

Why is it important to check for multicollinearity in multiple regression?

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Highly correlated predictors can lead to unreliable coefficient estimates.

Front

Multicollinearity ensures a higher R² value.

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False