Answer:
u
Step-by-step explanation:
joe bibben grabbed my dog broke my pp and I was trying to get a new one and idk if that's how much are the ones that are popular and they send him out to the stream make sure to sub to my uncle house and I bought a new one
Answer:
A and C are correct.
Step-by-step explanation:
A: 15 + 26 is greater than 41 so it will form a triangle
B: 15 + 36 is not equal to 41 so it will not form a triangle
C: 15 squared + 36 squared = 1,521
41 squared = 1,681
Since a squared + b squared not-equals c squared, it will not be a right
triangle.
D: 15 squared + 36 squared = 297
41 squared = 82
A is correct because any 2 sides of a triangle must be greater than the third.
B is incorrect because it cannot equal the third side, but must be greater than.
C is correct because in a right triangle, the sum of the square of the legs must be equal to the square of the hypoteneuse.
D just does not make sense.
Answer:
Rate of change is slope
To calculate slope its
y2 - y1 / x2- x1 = slope
Just choose 2 random sets from the table.
I’m gonna go with (0,-10) and (2,20)
Now calculate slope
20 - (-10) / 2 - 0
Solve.
30 / 2
30/2 = 15
Rate of change is 15
Answer:
A.6^1/12
Step-by-step explanation:
3√6/4√6
when dividing the same base, subtract the powers.
(6^1/3)/(6^1/4)
6^(1/3-1/4)
6^(4-3)/12
6^1/12
option A is collect
Answer:
False
Step-by-step explanation:?
The hypothesis tests compare weather an event is meant to alter a population mean results, for example, a scientist experiment might have or not have a significant effect over the population results. The test aims to reject the null hypothesis, so what it really want to find out is if the alternative Hypothesis H1 is likely true. The null hypothesis is the probability that the results are not due to chance – if it’s rejected, then the results are due to chance.The level of significance , or so called p-value, is the probability that the null hypothesis (H0) happen , If p is very small then the null hypothesis is rejected - isn’t true- and the alternative Hypothesis is accepted. A higher P value implies a higher probability than results are not happening so that the H0 is accepted and H1 rejected. The null Hypothesis will normally will rejected when the level of significance are either lower than 0.05 or 0.01, the lower P value the higher the level of confidence that the results are due to chance.
Since the first part of the statement (A p is the probability that the results are not due to chance) is correct, and the second part is wrong (…the probability that the null hypothesis (H0) is false), the total statement is false. The correct statement would be as follows : A p is the probability that the results are not due to chance, the probability that the null hypothesis (H0) is true.
