Remember some basic rules
and
![x^ \frac{m}{n}= \sqrt[n]{x^m}](https://tex.z-dn.net/?f=x%5E%20%5Cfrac%7Bm%7D%7Bn%7D%3D%20%5Csqrt%5Bn%5D%7Bx%5Em%7D%20%20)
so
1/2-2/7=
7/14-4/14=
3/14
![x^ \frac{3}{14}= \sqrt[14]{x^3}](https://tex.z-dn.net/?f=x%5E%20%5Cfrac%7B3%7D%7B14%7D%3D%20%5Csqrt%5B14%5D%7Bx%5E3%7D%20%20)
Answer:
b^2 - 6b - 55
Step-by-step explanation:
(b + 5)(b - 11)
Use FOIL
First
Outside
Inside
Last
F: b * b = b^2
O: b * -11 = -11b
I: 5 * b = 5b
L: 5 * -11 = -55
b^2 - 11b + 5b - 55
Combine like terms
-11b + 5b = -6b
b^2 - 6b - 55
Answer:
80 millilitres (mL)
Step-by-step explanation:
Multiply by 1000 because there are 1000 mL in 1 L
110-8.75= 101.25. 101.25 divided by 9 = 11.25. Each pizza cost 11.25
Answer: D. To produce treatment groups with similar characteristics
Step-by-step explanation:
By using randomization in sampling, the Sample would be more representative of the Population it is based off of because different demographic characteristics may be picked.
This leads to a situation where the groups have similar characteristics between themselves thereby making it easier for comparison. For example, Group 1 would have certain types of people that will be represented in Group 2 and Group 3 as well. That way the effects of the drug can be properly studied as it affects different people. For instance, say there are 4 obese people in a sample of 10, instead of group one having all obese people, randomization may be able to give group one, 2 obese people and 2 obese people to group 2 as well. That way when comparing, the effects of the drug on the two groups is easier to be compared because the two groups have similar people.
