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Vladimir79 [104]
3 years ago
7

One method of estimating is to

Mathematics
2 answers:
Flauer [41]3 years ago
7 0
The answer is "A" because whenever you round (up or down) you are only changing the value a teeny bit, which only matters if you want to measure an exact amount of something. Using a calculator gives you the <em>exact </em>answer. <em />Guess and check really doesn't work because there are ∞ numbers. Any answer is not fine because if the answer is 5 and you answer with 9633, that answer is obviously wrong. So, A is right.
nataly862011 [7]3 years ago
3 0
One way of estimating is to Round the numbers to the nearest whole number.

Hope this helps!
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Answer:

d

Step-by-step explanation:

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What is the simplified form of the quantity of x plus 7, all over the quantity of x plus 3 + the quantity of x minus 4, all over
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\frac{3x + 21}{4x + 5}
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The probability that a grader will make a marking error on any particular question of a multiple-choice exam is 0.15. If there a
sashaice [31]

Answer:

P(X=0)=(10C10)(0.15)^{0} (1-0.15)^{10-0}=0.1969

P(X \geq 1)= 1-P(X

P(X=0)=(nCn)(p)^{0} (1-p)^{n-0}=(1-p)^n

P(X \geq 1)= 1-P(X

Step-by-step explanation:

Previous concepts

A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

The complement rule is a theorem that provides a connection between the probability of an event and the probability of the complement of the event. Lat A the event of interest and A' the complement. The rule is defined by: P(A)+P(A') =1

Solution to the problem

Let X the random variable of interest, on this case we now that:

X \sim Binom(n=10, p=0.15)

what is the probability that no errors are made?

For this case means that all the questions were correct so we want this probability:

P(X=0)=(10C10)(0.15)^{0} (1-0.15)^{10-0}=0.1969

what is the probability that at least one error made?

For this case we want this probability:

P(X \geq 1)

And we can use the complement rule:

P(X \geq 1)= 1-P(X

If there are n questions and the probability of a marking error is p rather than 0.15, give expressions for the probabilities of no errors  and at least one error

P(X=0)=(nCn)(p)^{0} (1-p)^{n-0}=(1-p)^n

P(X \geq 1)= 1-P(X

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3 years ago
What is the slope intercept of -4 and y-intercept -1
Brut [27]

Answer:

Points are given corresponding to (-8,0) and (0,-11), and you want line's equation in the form y=mx+b. Understand, you already have b=-11. If you too understand ...

Step-by-step explanation:

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3•x2 + 1(2)<br> (2)x-2(3)
Marina CMI [18]
I got 4x if that isn’t right I will check again
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