The central limit theorem defines large samples as having at least 36 elements.
true or false

The statement that the Central Limit Theorem defines large samples as having at least 36 elements is false. The central limit theorem states that when samples from a data set with a known variance are aggregated their mean roughly equals the population mean. The Central Limit Theorem will apply if the number of samples is greater than  30.

6 spoons of sugar for every 21 cups of flour

step-by-step explanation:

step-by-step explanation:

to determine whether a given function is even, we simply substitute x with -x in the expression. if the result after simplification is identical to the original equation, then the function is said to be even other wise odd.

f(-x) = (-x)^2 - (-x) + 8

      = x^2 + x +8

the resulting function is not identical to the original one;

f(-x) ≠ f(x)

therefore, f(x) is not an even function