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timama [110]
3 years ago
7

Which is an example of Identity Property of Zero?

Mathematics
1 answer:
luda_lava [24]3 years ago
4 0

Answer:

Identity Property of Zero

The identity property of 0 states that if you add or subtract 0 from any number, the number will always stay the same. Here are some examples involving whole numbers: 3+0=3 7−0=7 Therefore, x+0=0+x=x. This is also known as the additive identity property of 0.

Step-by-step explanation:

Hope it helps :)

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6. If a horse stands 63 inches how many so called feet does it stand on?
torisob [31]

Most horses stand on four feet, unless of course they had an amputation or other injury in the past.

7 0
3 years ago
If anyone Answer this question with POLITICALLY CORRECT answer I'll give you 25+ Points
Tresset [83]

Answer:

\sqrt[4]{x^5}

Step-by-step explanation:

A fraction exponent converts into a radical. The denominator is the index of the radical (farthest left number) and the numerator is the exponent of the base inside (the farthest right number). The base of the fraction exponent is the base number in green. To write this expression, simply the exponents into one exponent and one base.

x^{\frac{3}{4}}x^{\frac{1}{2} } =x^{\frac{3}{4}}x^{\frac{2}{4} } =x^{\frac{3+2}{4}} =x^{\frac{5}{4}}

Now convert to the radical.

x^{\frac{5}{4}} = \sqrt[4]{x^5}

8 0
3 years ago
Please help pleaseeeee
Nuetrik [128]

Answer:

200 pages

Step-by-step explanation:

( number of pages) ×(2/5) = 80

Number of pages = 80 ÷(2/5)

Number of pages = 200

4 0
3 years ago
Read 2 more answers
-2b(-7)=11<br> =============
boyakko [2]

Answer:

Solution given:

-2b(-7)=11

open bracket

-2b*-7=11

+14b=11

divide both side by 14

14b/14=11/14

b=11/14

4 0
3 years ago
Read 2 more answers
Testing for a disease can be made more efficient by combining samples. If the samples from four people are combined and the mixt
Ilya [14]

Answer:

There is a 34.39% probability of a positive result for four samples combined into one mixture.

This probability is not low enough so that further testing of the individual samples is rarely​ necessary,

Step-by-step explanation:

There are only two possible outcomes. Either a sample tests positive, or it does not, so we use the binomial probability distribution.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.\pi^{x}.(1-\pi)^{n-x}

In which C_{n,x} is the number of different combinatios of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And \pi is the probability of X happening.

A number of sucesses x is considered unusually low if P(X \leq x) \leq 0.05 and unusually high if P(X \geq x) \geq 0.05

In this problem, we have that:

There are four samples, so n = 4

Each sample has a probability of 0.1 of being positive, so \pi = 0.1.

Assuming the probability of a single sample testing positive is 0.1​, find the probability of a positive result for four samples combined into one mixture.

If any sample is positive, the result of the four samples is positive. So this is P(X>0). Either the number of positive samples is 0, or it is greater than 0. The sum of the probabilities is decimal 1. So:

P(X = 0) + P(X>0) = 1

P(X>0) = 1 - P(X = 0)

In which

P(X = x) = C_{n,x}.\pi^{x}.(1-\pi)^{n-x}

P(X = 0) = C_{4,0}.(0.10)^{0}.(0.9)^{4} = 0.6561

P(X>0) = 1 - P(X = 0) = 1 - 0.6561 = 0.3439

There is a 34.39% probability of a positive result for four samples combined into one mixture.

This probability if larger than 5%, so it is not low enough so that further testing of the individual samples is rarely​ necessary.

4 0
4 years ago
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