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Prompt
Suppose you are told that a distribution is said to be approximately normal because outliers have skewed the data. List the
possible ways outliers can skew an approximately normal distribution and what effect they can have.
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What expression is equivalent to 42x-56y

For [tex]f(x) = 4x + 1[/tex] and (x) = [tex]g(x)= x^{2} -5,[/tex] find [tex](\frac{g}{f}) (x)[/tex]a. [tex]\frac{x^{2} - 5 }{4x +1 },x[/tex] ≠ [tex]-\frac{1}{4}[/tex]b. x[tex]\frac{4 x +1 }{x^{2} - 5}, x[/tex] ≠ ± [tex]\sqrt[]{5}[/tex]c. [tex]\frac{4x +1}{x^{2} -5}[/tex]d.[tex]\frac{x^{2} -5 }{4x + 1}[/tex]

Round the number to the hundredths place. 26,379.87492 a. 26,379.87 b. 26,379.88 c. 26,380 d. 26,400