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'hypothesis testing' is a correct and usable phrase in written English.
It typically refers to a type of statistical analysis used to determine if a hypothesis about a population parameter is true. For example, you might use hypothesis testing to determine if there is a significant difference between the average test scores of two different classes.
Exact(59)
Statistical hypothesis testing.
C. Hypothesis Testing.
Hypothesis testing in the presence of uncertain parameters is known as "composite" hypothesis testing.
We first verify side information consistency via statistical hypothesis testing.
So, there are two types of hypothesis testing errors.
Therefore, it is widely used in theoretical hypothesis testing.
For all statistical testing, we used two-sided hypothesis testing.
F = hypothesis testing.
Model building preceded formal hypothesis testing.
Statistical computing environments provide trustworthy hypothesis testing.
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"Now, we've had 30 years of hypothesis-testing, and she's right.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com