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Luden [163]
3 years ago
10

Plzzz I need helpppp Algebra

Mathematics
1 answer:
Alex17521 [72]3 years ago
7 0

Answer:

D

Step-by-step explanation:

I think I am right! have a great day!! :D

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15 POINTS AND BRAINLIEST TO WHO ANSWER FIRST BUT HURRRRRYYYY!!!!!!!!!!!!
Strike441 [17]
The answer is D. This is because a triangle must be 180 degrees, and both A and B are equal to 180. For the sides, you simply follow a squared plus b squared equals c squared. D doesnt fit that equation, so the answer is D.
4 0
3 years ago
Read 2 more answers
I need help please :-)
ra1l [238]

Answer:

  A. 1

  B. slope: 1/2 mile/minute; the slope represents the speed of the car

  C. correlation

Step-by-step explanation:

A. The points in the table lie on a straight line, so the correlation coefficient is exactly 1.

__

B. The ratio of distance to time is speed. That ratio for this data is 10 miles/20 minutes = 1/2 mile/minute. This is the slope of the graph.

__

C. Passage of time does not cause the car to go any particular distance, nor does the car's traveling cause time to pass. The best that can be said is that the car's distance traveled is strongly correlated with the time it takes. (The reason the car goes some distance is likely due to a cause not mentioned in the problem statement, for example, it was switched on and the motor started.)

8 0
3 years ago
Suppose a certain type of fertilizer has an expected yield per acre of mu 1 with variance sigma 2, whereas the expected yield fo
mart [117]

Answer:

See the proof below.

Step-by-step explanation:

For this case we just need to apply properties of expected value. We know that the estimator is given by:

S^2_p= \frac{(n_1 -1) S^2_1 +(n_2 -1) S^2_2}{n_1 +n_2 -2}

And we want to proof that E(S^2_p)= \sigma^2

So we can begin with this:

E(S^2_p)= E(\frac{(n_1 -1) S^2_1 +(n_2 -1) S^2_2}{n_1 +n_2 -2})

And we can distribute the expected value into the temrs like this:

E(S^2_p)= \frac{(n_1 -1) E(S^2_1) +(n_2 -1) E(S^2_2)}{n_1 +n_2 -2}

And we know that the expected value for the estimator of the variance s is \sigma, or in other way E(s) = \sigma so if we apply this property here we have:

E(S^2_p)= \frac{(n_1 -1 )\sigma^2_1 +(n_2 -1) \sigma^2_2}{n_1 +n_2 -2}

And we know that \sigma^2_1 = \sigma^2_2 = \sigma^2 so using this we can take common factor like this:

E(S^2_p)= \frac{(n_1 -1) +(n_2 -1)}{n_1 +n_2 -2} \sigma^2 =\sigma^2

And then we see that the pooled variance is an unbiased estimator for the population variance when we have two population with the same variance.

8 0
3 years ago
On Monday, Xavier went to recess at 1:30 p.m.
jonny [76]

Answer:

3:10pm

Step-by-step explanation:

1:30 + 20 = 1:50pm

1:50 + 55 = 2:45pm

2:45 + 25 = 3:10pm

3 0
3 years ago
Read 2 more answers
Help please.
Elenna [48]

Answer:

The Malaysia police departments statement was true, because 14/30 is extremely close to 54% (roughly 15.5/30).

Type: Probability

<h3>Please rate this answer based on how helpful it was!</h3>
3 0
1 year ago
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