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3 years ago

If there are 2.6 million death per year how many deaths per minute

2 answers:

4 0

Minutes per year is the main thing to figure out here which takes a tiny bit of multiplying but you'll end up with 525,600 minutes
just divide the deaths per year by minutes per year and it should give you the correct answer
2,600,000/525,600 = 4.95 so if you end up rounding, just about 5 deaths per minute

erik [133]3 years ago

4 0

2.6 Million death per year
__ deaths per min

Answer: 120 deaths per min

PS, I had this question on quiz and got this answer right! =)

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Solve for h.<br><br> h - 45 = -35

Ugo [173]

$ℎ = ± \sqrt{x} 10\\$

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3 years ago

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Answer:19/20

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3 years ago

I need the 68th term help plz

Svet_ta [14]

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3 years ago

Andy and Sam are saving money to go on their senior trip. The amount of money that Andy will have at the end of each week, w, ca

Zanzabum

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3 years ago

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Find the probability of at least 6 failures in 7 trials of a binomial experiment in which the probability of success in any one

oksano4ka [1.4K]

Answer:

$P(x \geq 6)=P(X=6)+P(X=7)$

And we can find the individual probabilities:

$P(X=6)=(7C6)(0.91)^6 (1-0.91)^{7-6}=0.358$

$P(X=7)=(7C7)(0.91)^7 (1-0.91)^{7-7}=0.517$

And replacing we got:

$P(x \geq 6)=P(X=6)+P(X=7)= 0.358+0.517=0.875$

Step-by-step explanation:

Previous concepts

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".

Solution to the problem

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

$X \sim Binom(n=7, p=1-0.09=0.91)$

The probability associated to a failure would be p =1-0.09 = 0.91

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:

$nCx=\frac{n!}{(n-x)! x!}$

And we want to find this probability:

$P(x \geq 6)=P(X=6)+P(X=7)$

And we can find the individual probabilities:

$P(X=6)=(7C6)(0.91)^6 (1-0.91)^{7-6}=0.358$

$P(X=7)=(7C7)(0.91)^7 (1-0.91)^{7-7}=0.517$

And replacing we got:

$P(x \geq 6)=P(X=6)+P(X=7)= 0.358+0.517=0.875$

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3 years ago