Answer:
d?.............................
Answer:
4. Parallelogram
5. Parallelogram
6. Parallelogram
Step-by-step explanation:
- 4. This is a parallelogram because the longer sides are parallel to each other and the shorter sides are also parallel to each other. Hence, this is a parallelogram.
- 5. This is a parallelogram because it's angles are the same to the opposite angles. Hence, this is a parallelogram.
- 6. This is a parallelogram because the longer sides are parallel to each other and the shorter sides are also parallel to each other. Hence, this is a parallelogram.
Hoped this helped.
Answer:
7
Step-by-step explanation:
1. Lets Combine Like Terms. The only combineable terms are 8 and 8. So if we combine them they will equal 16. And we will have (2n+2)=16
2. Let's isolate the variable. We can do this by subtracting 2 from both sides. This will come out to 2n+14.
3. Let's further isolate the variable. We can do this by dividing both sides by two, which will finally come out to n=7
Answer:
Manny bought 3 pounds that were not on sale
Step-by-step explanation:
If 75 % were on sale, (100% -75% = 25%) then 25% were not on sale (The total has to be 100%)
Manny bought 12 pounds of vegetables
To determine how many pounds were not on sale, we take the amount of vegetables purchased and multiply by the percent that were not on sale.
12 * 25%
Change this to decimal form
12 *.25
3
Manny bought 3 pounds that were not on sale
Factorial design is the correct choice for the answer as an experimental design that permits statistical conclusions about two or more factors is a factorial design.
A factorial experiment is a type of research methodology that allows the study of main and interaction effects between two or more independent variables and on one or more outcome variables.
This is called a mixed factor experiment. For example, a researcher may choose to treat mobile phone use as a factor within a subject by testing the same participant with and without mobile phone use (the order of these two conditions). Balance).
Learn more about Factorial design here: brainly.com/question/9363521
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