Standard Deviation describes the square root of the mean of the squares of all values in a data set and is also called the root-mean-square deviation.

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#Unit 13. Methods in Biology

Again, H0, the null hypothesis, consists of the statement that, “There is no bear”, wherein, if a wolf is indeed present, is a type II error on the part of the investigator.

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#Unit 13. Methods in Biology

The relationship between truth or false of the null hypothesis and outcomes or result of the test is given in the tabular form.

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#Unit 13. Methods in Biology

Type I and Type II Errors Example

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#Unit 13. Methods in Biology

Type I and Type II Errors Example

Null hypothesis- A patient’s signs after treatment A, are the same from a placebo.

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#Unit 13. Methods in Biology

The level of significance is the measurement of the statistical significance.

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#Unit 13. Methods in Biology

level of significance defines whether the null hypothesis is assumed to be accepted or rejected. It is expected to identify if the result is statistically significant for the null hypothesis to be false or rejected.