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olga_2 [115]
3 years ago
13

P is the largest prime number between 50 and 100.

Mathematics
1 answer:
Bogdan [553]3 years ago
8 0

Answer: 46

Step-by-step explanation:

Largest prime number: 97

Smallest prime number: 51

97-51 = 46

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Factor the greatest common binomial factor from each polynomial
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Answer:
(5x-1)(6x^2+1)

Solution:
6x^2(5x-1)+5x-1
=30x^3-6x^2+5x-1
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=6x^2(5x-1)+(5x-1)
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HOPE THIS HELPS!
4 0
2 years ago
Which of he following is proved by utilizing deductive reasoning ?
kow [346]

Your answer would be postulates.

5 0
3 years ago
A rectangle has a perimeter of 12 centimeters and a height of 5 centimeters. What is the length of the base?
Gwar [14]

Answer:

1 cm

Step-by-step explanation:

We know that the formula for perimeter is<u> 2(l+w) or l+l+w+w</u>

We know that the height is 5 cm so that means <em><u>w= 5</u></em> also that there is 5 cm on both sides of the rectangle. So 5+5=10 so that means that the length of the rectangle is <em><u>1 cm</u></em> if you add the length together you 2 when you add the width you get 10. <em>10+2=12.</em>

5 0
2 years ago
Find the probability that a randomly generated bit string of length 10 does not contain a 0 if bits are independent and if:a) a
lara31 [8.8K]

Answer:

A) 0.0009765625

B) 0.0060466176

C) 2.7756 x 10^(-17)

Step-by-step explanation:

A) This problem follows a binomial distribution. The number of successes among a fixed number of trials is; n = 10

If a 0 bit and 1 bit are equally likely, then the probability to select in 1 bit is; p = 1/2 = 0.5

Now the definition of binomial probability is given by;

P(K = x) = C(n, k)•p^(k)•(1 - p)^(n - k)

Now, we want the definition of this probability at k = 10.

Thus;

P(x = 10) = C(10,10)•0.5^(10)•(1 - 0.5)^(10 - 10)

P(x = 10) = 0.0009765625

B) here we are given that p = 0.6 while n remains 10 and k = 10

Thus;

P(x = 10) = C(10,10)•0.6^(10)•(1 - 0.6)^(10 - 10)

P(x=10) = 0.0060466176

C) we are given that;

P((x_i) = 1) = 1/(2^(i))

Where i = 1,2,3.....,n

Now, the probability for the different bits is independent, so we can use multiplication rule for independent events which gives;

P(x = 10) = P((x_1) = 1)•P((x_2) = 1)•P((x_3) = 1)••P((x_4) = 1)•P((x_5) = 1)•P((x_6) = 1)•P((x_7) = 1)•P((x_8) = 1)•P((x_9) = 1)•P((x_10) = 1)

This gives;

P(x = 10) = [1/(2^(1))]•[1/(2^(2))]•[1/(2^(3))]•[1/(2^(4))]....•[1/(2^(10))]

This gives;

P(x = 10) = [1/(2^(55))]

P(x = 10) = 2.7756 x 10^(-17)

3 0
3 years ago
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