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.

What additional information could be used to prove that δxyz ≅ δfeg using asa or aas? check all that apply. ∠z ≅ ∠g and xz ≅ fg ∠z ≅ ∠g and ∠y ≅ ∠e xz ≅ fg and zy ≅ ge xy ≅ ef and zy ≅ fg ∠z ≅ ∠g and xy ≅ fe

Match each equation with the operation you can use to solve for the variable. subtract 10. divide by 10. divide by 5. subtract 18. multiply by 10. add 18. add 10. multiply by 5. 5 = 10p arrowright p + 10 = 18 arrowright p + 18 = 5 arrowright 5p = 10 arrowright

F(x)=x/2-2 and g(x)=2x^2+x-3 find (f+g)(x)