Variables that are based on some objective physical (gender, ethnicity), measurable (age, income), or other classification attribute (birth era, occupation) of prospective customers are used in which segmentation base?

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

(a) (8%) compute the probability of an even integer among the 100 integers 1! , 2! , 3! , until 100! (here n! is n factorial or n*(n-1)*(n-2) *… 1) (b) (16%) compute the probability of an even integer among the 100 integers: 1, 1+2, 1+2+3, 1+2+3+4, …., 1+2+3+… + 99, and 1+2+3+… + 100

Asunflower was 20 1/2 inches tall. over the next 6 months, it grew to a height of 37 inches tall. what was the average yearly growth rate of the height of the plzzz write a proportion i will give you 100 points