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poizon [28]
3 years ago
5

This is the problem Dan says 3/5 Is the same as 3.5. Is he correct? Explain

Mathematics
2 answers:
Andrej [43]3 years ago
5 0
No, Dan is not correct. 3/5 is not the same as 3.5

3/5 is saying 3 out of 5, which is a little more than one half between 1 and 2.
3.5 is saying 3 and a half, which is half way between the numbers 3 and 4.
lesya692 [45]3 years ago
4 0

<u><em>Answer:</em></u>

He is not correct


<u><em>Explanation:</em></u>

The first number is \frac{3}{5}

We can note that the numerator is less than the denominator. This means that the given fraction is less than 1

In decimal form, \frac{3}{5} is equal to 0.6


The second number is 3.5

We can note that this number is greater than 1.


This means that the two numbers are not equal


Hope this helps :)

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Which property could be used to solve the equation below <br><br> x/8 = 4
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Find an equation of a plane containing the line r=⟨0,4,4⟩+t⟨−3,−2,1⟩ which is parallel to the plane 1x−1y+1z=−5 in which the coe
ozzi

The plane you want is parallel to another plane, <em>x</em> - <em>y</em> + <em>z</em> = -5, so they share a normal vector. In this case, it's ⟨1, -1, 1⟩.

The plane must also pass through the point (0, 4, 4) since it contains <em>r</em><em>(t)</em>. Then the equation of the plane is

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Tamu ran 30 minutes and burned 170 calories.
OLga [1]

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Step-by-step explanation:

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3 years ago
A study was conducted to determine whether there were significant differences between medical students admitted through special
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Answer:

A) 0.7696

B) 0.0474

C) Yes it's unusual

D) 0.05746

E) No, it is not unusual

F) No, it is not unusual

Step-by-step explanation:

This is a binomial probability distribution question.

We are told that 92.4% of those admitted graduated.

Thus; p = 92.4% = 0.924

From binomial probability distribution, q = 1 - p

Thus;

q = 1 - 0.924

q = 0.076

Formula for binomial probability distribution is;

P(x) = nCx × p^(x) × q^(n - x)

A) At least 11 graduated out of 12.

P(x ≥ 11) = P(11) + P(12)

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P(11) = 0.3823

P(12) = 12C12 × 0.924^(12) × 0.076^(12 - 12)

P(12) = 0.3873

P(x ≥ 11) = 0.3823 + 0.3873

P(x ≥ 11) = 0.7696

B) that exactly 9 of them graduated out of 12. This is;

P(9) = 12C9 × 0.924^(9) × 0.076^(12 - 9)

P(9) = 0.0474

C) We are not given significance level here but generally when not given we adopt a significance level of α = 0.05.

Now, exactly 9 out of 12 that graduated which is P(9) = 0.0474.

We see that 0.0474 is less than the significance level of 0.05. Thus, we can say that it is unusual to randomly select 12 students from the special programs and get exactly 9 that graduate

D) that at most 9 of them out of 12 graduated.

P(x ≤ 9) = P(0) + P(1) + P(2) + P(3) + P(4) + P(5) + P(6) + P(7) + P(8) + P(9)

This is going to be very long so I will make use of an online probability calculator to get the values of P(0) to P(8) since I already have P(9) as 0.0474.

Thus, we have;

P(0) = 0

P(1) = 0

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P(8) = 0.00877476184

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P(x ≤ 9) = 0 + 0 + 0 + 0.00000001468 + 0.00000040161 + 0.00000781232 + 0.00011081163 + 0.00115477385 + 0.00877476184 + 0.04741450256

P(x ≤ 9) = 0.05746

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Picture 1272837373773
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