No, he can not do it
Step-by-step explanation:
To prove that the the given three sides can form a right triangle:
- Square the three sides
- Add the squares of the smaller two sides
- If the sum is equal to the square of the largest side, then the three given sides can form a right triangle
- If the sum is not equal to the square of the largest side, then the three given sides can not form a right triangle
∵ The designer has three partitions that are 14 , 9 and 20 feet
- Square the length of each partition
∵ 9² = 81
∵ 14² = 196
∵ 20² = 400
- Add the squares of the two smaller partitions 9 and 14
∵ 81 + 196 = 277
∵ The square of the largest partition = 400
∵ 277 ≠ 400
∴ The sum of the squares of the two smaller partitions is not
equal to the square of the third partition
- To create the apartment in the shape of a right triangle he must
have three partitions the sum of the squares of the two smaller
partitions is equal to the square of the largest partition
∴ He can not create the apartment in the shape of a right triangle
No, he can not do it
Learn more:
You can learn more about the right triangles in brainly.com/question/4098846
#LearnwithBrainly
I hope my answer is correct
You know slope intercept form is y=mx+b so just put in that form by:
Adding 4x to other side
2y=10+4x
Then divide by 2
Y=10/2 +4/2x
Simplify
Y=5+2x
I rearranged so x is first so your answer would be: y=2x+5
Answer:
Yes. There is a bias in the selected sample.
Step-by-step explanation:
Population of interest = undergraduate students at the university
Respondents to email requests = 2,000 students
Sample size = 100 students
Sample is based on the 2,000 respondents.
Therefore, sample is biased.
b) A sampling method is said to be biased if it systematically favors a group. By making some members of the student population systematically more likely to be selected in a sample than others, there is an occurrence of sampling bias. Usually, findings from biased samples can only be generalized to populations that share characteristics with the sample and to the entire population of interest.