Answer:
Each Friend will get 
cards.
Step-by-step explanation:
Let the number of cards be x.
Given:
Amount Nicole used to spend on cards = $9
Total cost of one set =$27
Also, she finds friends with the same amount of money to split the cost of a set.
So, Number of friends she finds can be calculated by dividing the Cost of 1 set with amount of money Nichole used to spend on cards.
Number of friends she finds = 
Hence she finds 2 friends and 1 is nichole hence there are 3 persons carrying $9 to buy $27 set of card
Now, Number of cards each friend gets is equal to Total number of Cards in 1 set divided by number of people.
Number of cards each friend =
Hence Each Friend will get cards.
Answer:
I'm leaning mostly towards C Because there is a solution, None of them are real numbers and if they were, S would = 5 Especially positive S
~ Zachary
It factors to (x+12)(x-12)
This is the same as (x-12)(x+12) as we can multiply two expressions in any order we want. This is like saying 7*5 is the same as 5*7
I used the difference of squares rule to factor x^2 - 144. It might help to write x^2 - 144 as x^2 - 12^2, then compare it to a^2 - b^2 = (a-b)(a+b)
Hello. I could help you with this question because i'm actually learning that too. Just create another question showing the entire graph so that I could help you.
Answer:
1. T test for independent means
2. T test for dependent means
3. T test for dependent means
Step-by-step explanation:
In number 1, the two groups are unrelated. The first group has 25 subjects and they're all unemployed. The second group has 24 subjects and their employment status is not stated and might not be the same all through. Also, the first group is receiving a new type of job skills program while the second group is taking the standard job skills program.
- The groups in the experiment are unrelated
- The tests in the research are unrelated
- The purpose of the research is unreasonable - the researcher seeks to measure how well all 49 subjects perform on 'a' job skills test! No comparison between the scores or mean scores of the two groups.
In number 2, the researcher uses the same subjects and also measures the same variable but twice. This is a good example of a study where the t test for dependent means can be taken. Same applies in case 3.
