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4 days ago · A prime number (or a prime) is a natural number greater than 1 that is not a product of two smaller natural numbers. A natural number greater than 1 that is not prime is called a composite number. For example, 5 is prime because the only ways of writing it as a product, 1 × 5 or 5 × 1, involve 5 itself. However, 4 is composite because it is a ...
4 days ago · A factor of a number is always smaller than or equal to the number. 1 is the smallest factor of a number and the number itself is the greatest factor of the number. A factor of a number can never be a decimal or a fraction. 2 is a factor of every even number. 5 is a factor of every number that has 5 or 0 in its unit place.
5 days ago · In a single factor ANOVA statistical software may replace "model" with the name of the experimental variable that is being tested (e.g. "color"). The row titled "Residuals" represents the variation within the treatments that cannot be attributed to the light factor. Sometimes the term "error" is used instead of "residuals", which is a bit ...
- Steve Baskauf
- 2014
6 days ago · In mathematics, the gamma function (represented by Γ, the capital letter gamma from the Greek alphabet) is one commonly used extension of the factorial function to complex numbers. The gamma function is defined for all complex numbers except the non-positive integers.
- Calculus, mathematical analysis, statistics, physics
2 days ago · The remainder factor theorem is actually two theorems that relate the roots of a polynomial with its linear factors. The theorem is often used to help factorize polynomials without the use of long division. Especially when combined with the rational root theorem, this gives us a powerful tool to factor polynomials.
2 days ago · Meaning: Outdoor party/ rave ‘Wagging’ During a discussion about the identity of ‘Bird Psycho’, Quinni and Sasha debate how ‘wagging’ school isn’t a ‘good look’.
5 days ago · In a regression context, multicollinearity can make it difficult to determine the effect of each predictor on the response, and can make it challenging to determine which variables to include in the model. Multicollinearity can also cause other problems: The coefficients might be poorly estimated, or inflated.
