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Identifying Statistically Significant Differences: The F-Test01:14

Identifying Statistically Significant Differences: The F-Test

The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
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Flagging up differences

Frances Pickersgill

    Nursing Standard (Royal College of Nursing (Great Britain) : 1987)
    |January 26, 2013
    PubMed
    Summary

    No abstract available in PubMed .

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