Answer:
A.
Step-by-step explanation:
(x − 7)^2=
=x^2 − 14x + 49
The trick here is to relate the NUMBER of coins to each other in one equation, and then the VALUE of the coins in another equation. If I have 1 dime, that 1 dime is worth 10 cents. The number of dimes is obviously not equal to the value. Let's call quarters q and dimes d. The number of these 2 types of coins added together is 80 coins. So q + d = 80. Now, we know that quarters are worth .25 and dimes are worth .1, so we express a quarter's worth as .25q; we express a dime's worth as .1d. The value of the coins we have is 14.90. So that equation is .25q + .1d = 14.90. Let's solve the first equation for q. q = 80 - d. We can now use that as a substitution for q into the second equation, giving us an equation with only 1 unknown, d. .25(80-d) + .1d = 14.90. Distributing through the parenthesis we have 20 - .25d + .1d = 14.90. Combining like terms gives us - .15d = - 5.1. We will divide both sides by - .15 to get that the number of dimes is 34. If we had a total of 80 coins, then the number of quarters is 80 - 34, which is 46. 46 quarters and 34 dimes
$50×6=$300
(This is direct proportion question)
(Dependent variable is money earned)
(Independent variable is hours worked)
If there's only 1 table, then you need 5 roses total (5*1 = 5)
If there are 2 tables, then you need 10 roses total (5*2 = 10)
If there are 3 tables, then you need 15 roses total (5*3 = 15)
If there are 4 tables, then you need 20 roses total (5*4 = 20)
At this point, you probably see the pattern: you multiply 5 by the number of tables to get the total number of roses. So it would look like this equation
(number of roses) = 5*(number of tables)
r = 5*x
where r is standing in for "number of roses" as shorthand; also, x is standing in for "number of tables".
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Final Answer: r = 5x (lower right corner choice)
Note that 5*x is the same as 5x (both of which mean "5 times x)
A statistical question is one for which you don't expect to get a single answer. Instead, you expect to get a variety of different answers, and you are interested in the distribution and tendency of those answers. For example, "How tall are you?" is not a statistical question. But "How tall are the students in your school?" is a statistical question.
