Answer:
well if its 2*5 then its 10 because you have to count by 5's two times and you'll get 10. I hope this helps. :3
.6 cups of flour Step-by-step explanation:
Answer:
1) False
2) False
3) True
4) False
Step-by-step explanation:
1) Flase, {v1,v2,v3, ..., vp} is a base for H when they span H and also they are linearly independent.
2) False. A single nonzero vector is linearly independent , not dependent. There is not null linear combination that gives 0 as a result involving that vector.
3) True, if the columns werent linearly independent, we could triangulate the matrix and obtain 0, so the matrix wouldnt be invertible. This means that the columns should be linearly independent for the matrix to be invertible and as a consecuence, they will spam a subspace of R^n of dimension n, which means that they will spam all R^n and therefore, they form a basis of R^n.
4) False. A basis is a spanning set that is as small as possible. Larger spanning sets will have extra elements apart from those who can form a base toguether. Those elements will make the set linearly dependent.
Answer:
f(x) = x - 3
Step-by-step explanation:
y = mx + b
first let's find b, the y-intercept
based on the graph, the y-intercept is (0,-3), so b = -3
immediately, we can eliminate f(x) = 3 - x and f(x) = -3x
comment any questions pls
<span>If you have a high confidence level, the chance of rejecting the null hypothesis is rare.
If you have a low confidence level, the chance of of rejecting the null hypothesis is nonexistent.
If you have a low confidence level, the chance of of rejecting the null hypothesis is rare.
If you have a high confidence level, the chance of of rejecting the null hypothesis is high.</span>
