PLEASE ITS A FASHION CLASS Thanks to the Internet, most of the tools that fashion forecasters have are at your disposal. Search the Internet for recent fashion shows, which will indicate what is coming up next season. Look at recent fashion shows in major cities, such as New York and Los Angeles, to see where American fashion is headed. Then turn to Paris. You can look for fashion shows there as well as see what the major fashion magazines have on their websites in the European divisions. Fortunately, you don’t need to read French to know what is highlighted in French fashion. Take a moment to check out Tokyo as well. Finally, check celebrity gossip magazine websites or magazines to see what celebrities are wearing around town and to formal events. When you are done, pick two trends that you expect to see in American stores next year. Finally, write a paragraph explaining the trend and what you found in your search that led you to believe that it is coming our way.

∠1≅∠2 by the alternate exterior angles theorem.

step-by-step explanation:

given, a ∥ b and ∠1 ≅ ∠3 .we have to prove that e ∥ f

we know that ∠1≅∠3 and that a || b because they are given. we see that by the alternate exterior angles theorem. therefore, ∠2≅∠3 by the transitive property. so, we can conclude that e || f by the converse alternate exterior angles theorem.

we have to fill the missing statement.

transitivity property states that if a = b and b = c, then a = c.

now, given ∠1≅∠3 and by transitivity property ∠2≅∠3 .

hence, to apply transitivity property one angle must be common which is not in result after applying this property which is ∠1.

the only options in which ∠1 is present are ∠1 and ∠2, ∠1 and ∠4

∠1 and ∠4 is not possible ∵ after applying transitivity we didn't get ∠4.

hence, the missing statement is ∠1≅∠2.

so, ∠1≅∠2 by the alternate exterior angles theorem.

answer:   35 % is the probability of a late departure or an early arrival.

step-by-step explanation:

let l represents the late departure and e represents the early departure.

then, according to the question,

p(l) = 12 %,   p(e) = 27 % and = 4 %

and, we have to find out,

but, we know that,

which is the required equation that will use to find the probability of a late departure or an early departure.

therefore,   the probability of a late departure or an early arrival =   35 %