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4 years ago

Which is harder linear algebra or abstract algebra?

2 answers:

6 0

They both relatively easy depending on how much time you put into understanding but. But if I have to pick which is harder I’d say linear.

Leokris [45]4 years ago

5 0

Linear algebra

I've always had trouble with graphs and it's much better if the algebra is similar to arthemetic

You might be interested in

Solve for b<br> 2(-2b+3)=9

Alexxx [7]

Answer:

b=-3/4 or b=-0.75

Step-by-step explanation:

$2(-2b+3)=9$

$2b+3=\cfrac{9}{2}$

$-2b=\cfrac{9}{3} -3$

$-2b=\cfrac{3}{2}$

$b=-\cfrac{\frac{3}{2} }{2}$

$b=-\cfrac{3}{2\times 2}$

$b=-\cfrac{3}{4}$

Hope it helps! :)

7 0

2 years ago

Crystal buys headphones that are on sale with a 40% discount. If crystal pays $24 for the headphones with the discount, what is

olga_2 [115]

$60 I belive is the answer

3 0

3 years ago

Read 2 more answers

Is y=3x+4 a function?

Oxana [17]

Answer:

Yes, it is a function

Step-by-step explanation:

Every possible input x value is paired with a unique output y value.

Another approach is to graph the function then conduct the VLT (vertical line test) at which point you will realize that any vertical line will intersect the graph at one point only meaning it is a function.

Hope this helps.

5 0

1 year ago

1. Select all the triangles that can be rotated to match up with Triangle 1. Triangle 1 A B D C С

emmasim [6.3K]

Answer:it should be B and D

Step-by-step explanation:

B could be rotated clockwise and D could be rotated clockwise as well.

8 0

3 years ago

Lengths of full-term babies in the US are Normally distributed with a mean length of 20.5 inches and a standard deviation of 0.9

mash [69]

Answer:

66.48% of full-term babies are between 19 and 21 inches long at birth

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Mean length of 20.5 inches and a standard deviation of 0.90 inches.

This means that $\mu = 20.5, \sigma = 0.9$