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2 years ago

Which is the best example of forces acting in the same direction?

2 answers:

8 0

Answer: The answer is two football players pushing a tackling sled because obviously they are going in the same direction. So yeah your answer is B 100% sure!

attashe74 [19]2 years ago

8 0

Answer:

The Correct answer is B) two football players pushing a tackling sled

Step-by-step explanation:

You might be interested in

What is (3-4i)^2? In complex numbers?

ANTONII [103]

$(3-4i)^2=9-24i-16=-7-24i$

5 0

3 years ago

Victor writes 10 more poems than ann.Ann writes 10 poems. How many poems does victor writes?

tino4ka555 [31]

Victor writes 20 poems

Solution:

Given that victor writes 10 more poems than Ann

Also given that Ann writes 10 poems

To find: number of poems written by Victor

From given information, we can frame a equation as:

number of poems written by Victor = 10 more poems than Ann

number of poems written by Victor = 10 + number of poems written by Ann

Substituting the given , number of poems written by Ann = 10 , we get,

number of poems written by Victor = 10 + 10 = 20

Thus victor writes 20 poems

3 0

2 years ago

Read 2 more answers

I don’t understand this and I did take notes on this on the computer but I still don’t understand it.

Serggg [28]

Answer:

I'[−3, −2], Q'[2, 0], ?'[0, 1], E'[−3, −1]

Step-by-step explanation:

The line of reflection is at y = −2, so looking at the line and where the coordinates of the shape are, you will have this:

I[−3, −2] → I'[−3, −2] (on the line, so it remains the same)

Q[2, −4] → Q'[2, 0]

?[0, −5] → ?'[0, 1]

E[−3, −3] → E'[−3, −1]

I am joyous to assist you anytime.

3 0

3 years ago

How r u so good at this

iren [92.7K]

Answer:

Step-by-step explanation:

Good at what?

4 0

2 years ago

Read 2 more answers

Test scores of the student in a school are normally distributed mean 85 standard deviation 3 points. What's the probability that

Mrrafil [7]

Answer:

The probability that a random selected student score is greater than 76 is $\\ P(x>76) = 0.99865$ .

Step-by-step explanation:

The Normally distributed data are described by the normal distribution. This distribution is determined by two parameters, the population mean $\\ \mu$ and the population standard deviation $\\ \sigma$ .

To determine probabilities for the normal distribution, we can use the standard normal distribution, whose parameters' values are $\\ \mu = 0$ and $\\ \sigma = 1$ . However, we need to "transform" the raw score, in this case x = 76, to a z-score. To achieve this we use the next formula:

$\\ z = \frac{x - \mu}{\sigma}$ [1]

And for the latter, we have all the required information to obtain z. With this, we obtain a value that represent the distance from the population mean in standard deviations units.

<h3>The probability that a randomly selected student score is greater than 76</h3>

To obtain this probability, we can proceed as follows:

First: obtain the z-score for the raw score x = 76.

We know that:

$\\ \mu = 85$

$\\ \sigma = 3$

$\\ x = 76$

From equation [1], we have:

$\\ z = \frac{76 - 85}{3}$

Then

$\\ z = \frac{-9}{3}$

$\\ z = -3$

Second: Interpretation of the previous result.

In this case, the value is three (3) standard deviations below the population mean. In other words, the standard value for x = 76 is z = -3. So, we need to find P(x>76) or P(x>-3).

With this value of $\\ z = -3$ , we can obtain this probability consulting the cumulative standard normal distribution, available in any Statistics book or on the internet.

Third: Determination of the probability P(x>76) or P(x>-3).

Most of the time, the values for the cumulative standard normal distribution are for positive values of z. Fortunately, since the normal distributions are symmetrical, we can find the probability of a negative z having into account that (for this case):

$\\ P(z>-3) = 1 - P(z>3) = P(z$

Then

Consulting a cumulative standard normal table, we have that the cumulative probability for a value below than three (3) standard deviations is:

$\\ P(z$

Thus, "the probability that a random selected student score is greater than 76" for this case (that is, $\\ \mu = 85$ and $\\ \sigma = 3$ ) is $\\ P(x>76) = P(z>-3) = P(z$ .

As a conclusion, more than 99.865% of the values of this distribution are above (greater than) x = 76.

We can see below a graph showing this probability.

As a complement note, we can also say that:

$\\ P(z3)$

Which is the case for the probability below z = -3 [P(z<-3)], a very low probability (and a very small area at the left of the distribution).

5 0

2 years ago