DNA polymerase “grips” the template and the incoming nucleotide when a correct base pair is made via Arg, Lys and Tyr residue in its alpha helix

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#Unit 13. Methods in Biology

The sampling distribution gives us a smaller range of the possible outcomes or results from a large range of data.

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#Unit 13. Methods in Biology

The key difference between parametric and nonparametric test is that the parametric test relies on statistical distributions in data whereas nonparametric do not depend on any distribution.

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#Unit 13. Methods in Biology

Parametric Test Definition, In Statistics, a parametric test is a kind of hypothesis test which gives generalizations for generating records regarding the mean of the primary/original population.

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#Unit 13. Methods in Biology

Non-Parametric Test Definition, The non-parametric test does not require any population distribution, which is meant by distinct parameters. It is also a kind of hypothesis test, which is not based on the underlying hypothesis.

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#Unit 13. Methods in Biology

Difference between Parametric and Non-parametric

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#Unit 13. Methods in Biology

The confidence level represents the proportion (frequency) of acceptable confidence intervals that contain the true value of the unknown parameter.