When Testing a Goodness-Of-Fit Null Hypothesis, and There Are Extremely

question 63

Short Answer

When testing a goodness-of-fit null hypothesis, and there are extremely large differences between observed and expected frequencies, the null hypothesis should be ___________.

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Big Data

Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.

Demographics

Statistical data relating to the population and particular groups within it, often used for marketing or policy-making.

Image-Processing Functions

Computational techniques that are applied to images to enhance them, extract information, or convert them into a desired format.

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