Mathhh helppp meeee fast

lorasvet [3.4K]

<h3>Answer: Choice B</h3>

With matrix subtraction, you simply subtract the corresponding values.

I like to think of it as if you had 2 buses. Each bus is a rectangle array of seats. Each seat would be a box where there's a number inside. Each seat is also labeled in a way so you can find it very quickly (eg: "seat C1" for row C, 1st seat on the very left). The rule is that you can only subtract values that are in the same seat between the two buses.

So in this case, we subtract the first upper left corner values 14 and 15 to get 14-15 = -1. The only answer that has this is choice B. So we can stop here if needed.

If we kept going then the other values would be...

row1,column2: P-R = -33-16 = -49

row1,column3: P-R = 28-(-24) = 52

row2,column1: P-R = 42-25 = 17

row2,column2: P-R = 35-(-30) = 65

row2,column3: P-R = -19-36 = -55

The values in bold correspond to the proper values shown in choice B.

As you can probably guess by now, matrix addition and subtraction is only possible if the two matrices are the same size (same number of rows, same number of columns). The matrices don't have to be square.

7 0

3 years ago

Find X+Y<br> Geometry 9th

Illusion [34]

Answer:

x = 71 and y = 45

Step-by-step explanation:

5 0

3 years ago

Read 2 more answers

PLEASE HELP 50 POINTS IF RIGHTAustin is purchasing a car. The car he would like to purchase comes in 5 different colors, 2 diffe

Dafna1 [17]

The correct answer is 30

5×2×3=30

Red, Size 1, Interior 1

Red, Size 2, Interior 1

Red, Size 3, Interior 1

Red, Size 1, Interior 2

Red, Size 2, Interior 2

Red, Size 3, Interior 2

Orange, Size 1, Interior 1

Orange, Size 2, Interior 1

Orange, Size 3, Interior 1

Orange, Size 1, Interior 2

Orange, Size 2, Interior 2

Orange, Size 3, Interior 2

Yellow, Size 1, Interior 1

Yellow, Size 2, Interior 1

Yellow, Size 3, Interior 1

Yellow, Size 1, Interior 2

Yellow, Size 2, Interior 2

Yellow, Size 3, Interior 2

Green, Size 1, Interior 1

Green, Size 2, Interior 1

Green, Size 3, Interior 1

Green, Size 1, Interior 2

Green, Size 2, Interior 2

Green, Size 3, Interior 2

Blue, Size 1, Interior 1

Blue, Size 2, Interior 1

Blue, Size 3, Interior 1

Blue, Size 1, Interior 2

Blue, Size 2, Interior 2

Blue, Size 3, Interior 2

6 0

4 years ago

A single serving of jello requires 1/8 cups of sugar. How much sugar is needed for 6 servings?

sp2606 [1]

Hi there!

3/4 of sugar is needed for 6 servings.

1/8 x 6 = 6/8 simplify it and you get 3/4.

So 3/4 is your answer.

Hope this helps ;D

7 0

3 years ago

Read 2 more answers

Last year, a comprehensive report stated that 28% of businesses in the northeast of Ohio were considered highly profitable. This

Alik [6]

Answer:

$z=\frac{0.38 -0.28}{\sqrt{\frac{0.28(1-0.28)}{50}}}=1.575$

$p_v =2*P(z>1.575)=0.115$

So the p value obtained was a very high value and using the significance level given $\alpha=0.01$ we have $p_v>\alpha$ so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of businesses were highly profitable is not significantly different from 0.28 or 28%.

Step-by-step explanation:

Data given and notation

n=50 represent the random sample taken

X=19 represent the businesses were highly profitable

$\hat p=\frac{19}{50}=0.38$ estimated proportion of businesses were highly profitable

$p_o=0.28$ is the value that we want to test

$\alpha=0.05$ represent the significance level

Confidence=95% or 0.95

z would represent the statistic (variable of interest)

$p_v$ represent the p value (variable of interest)

Concepts and formulas to use

We need to conduct a hypothesis in order to test the claim that the true proportion of businesses were highly profitable is different from 0.28 or no, the system of hypothesis is.:

Null hypothesis: $p=0.28$

Alternative hypothesis: $p \neq 0.28$

When we conduct a proportion test we need to use the z statistic, and the is given by:

$z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}}$ (1)

The One-Sample Proportion Test is used to assess whether a population proportion $\hat p$ is significantly different from a hypothesized value $p_o$ .

Calculate the statistic

Since we have all the info required we can replace in formula (1) like this:

$z=\frac{0.38 -0.28}{\sqrt{\frac{0.28(1-0.28)}{50}}}=1.575$

Statistical decision

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.

The significance level provided $\alpha=0.01$ . The next step would be calculate the p value for this test.

Since is a bilateral test the p value would be:

$p_v =2*P(z>1.575)=0.115$

So the p value obtained was a very high value and using the significance level given $\alpha=0.01$ we have $p_v>\alpha$ so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of businesses were highly profitable is not significantly different from 0.28 or 28%.

4 0

4 years ago