<h2>Solving Equations</h2>
To solve linear equations, we must perform inverse operations on both sides of the equal sign to <em>cancel values out</em>.
- If something is being added to x, subtract it from both sides.
- If something is being subtracted from x, add it on both sides.
- Same with multiplication and division. If x is being divided, multiply. If x is being multiplied, divide.
We perform inverse operations to<em> combine like terms</em>. This means to get x to one side and everything else on the other.
<h2>Solving the Questions</h2><h3>Question 1</h3>
Because 7 is being added to x, subtract it from both sides:
Because x is being multiplied by 5, divide both sides by 5:
Therefore. 
.
<h3>Question 2</h3>
Here, we can group all the x values on the left side of the equation. Subtract 5x from both sides:
To isolate x, subtract 4 from both sides:
Divide both sides by 2:
Therefore, 
.
You would have to calculate the percent first.
Add the total number of students
3420+4680= 8100 students TOTAL
Then you would divide the amount of students by the total
3420 part time/8100 students total = .42 or 42%
4680 full time/8100 total = .58 or 58%
Then you multiply the percentages by 90
(90)(.58)= 52.2
(90)(.42)= 37.8
Rounded
52 full time and 38 part time students
Answer choice d (7) would be monomial because it's just one number by itself not attached to anything :)
A) 2,4
B)3,2
C) 4,-3
I hope this helps
Answer:
B. Paired T Test
B. H0: μd = 0 and Ha: μd < 0 where μd= mean difference in blood pressure (calculated as aspirin - placebo)
Step-by-step explanation:
As the experiment is based on the difference between the results of a pair, the most appropiate test is a paired t-test.
If the 80 people group had been dividided in 2 and then compare the means for each group, it would have been a independent samples t-test.
For each pair, a variable d (for difference) is calculated and used as the outcome sample to perform the test.
Then, the null hypothesis will state that the population mean for this difference is not significantly different from 0, and the alternative hypothesis claiming it is signficant different from 0.
The sample means for the treatment group and the placebo is not individually calculated, as only the difference for each pair is used as sample in a paired t-test.
