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crimeas [40]
3 years ago
12

Imma just leave this here imma do brainlyest

Mathematics
1 answer:
nekit [7.7K]3 years ago
4 0

Answer: The can of Coke i would say because it cost least unless by best buy they mean higher price then the pepsi!

~ Zachary

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Rationalize the expression. Write it in simplest form.<br><br> 9x/√-2x-11
GenaCL600 [577]
This appears to be just an expression we are simplifying, not an equation we are solving.  I THINK you are saying that the expression looks like this:
\frac{9x}{ \sqrt{-2x-11} }
If you rationalize the denominator, you would get this expression:
\frac{9x}{ \sqrt{-2x-11} } * \frac{ \sqrt{-2x-11} }{ \sqrt{-2x-11} }
which, after simplifying, looks like this:
\frac{9x \sqrt{-2x-11} }{-2x-11}
and that's as simple as I can see that one getting.  You can't factor anything out of the denominator to cancel with the numerator, so I think you're as simple as you can get there!
3 0
3 years ago
PLEASE ANSWET FAST!!!​
Mazyrski [523]

Answer:

30 ladoos

Step-by-step explanation:

8 0
3 years ago
1) A generator company charges a $200 delivery fee and a rental fee of $100 per day.
Romashka [77]
Y = 100x + 200

charge for three days of rental; $500


explanation:
y = 100(3) + 200
y = 300 + 200
y = 500
8 0
2 years ago
There is a 70 percent chance that an airline passenger will check bags. In the next 16 passengers that check in for their flight
GenaCL600 [577]

Answer:

a) P(X=16)=(16C16)(0.7)^{16} (1-0.7)^{16-16}=0.00332

b) P(X

And we can find the individual probabilities like this:

P(X=10)=(16C10)(0.7)^{10} (1-0.7)^{16-10}=0.1649

P(X=11)=(16C11)(0.7)^{11} (1-0.7)^{16-11}=0.2099

P(X=12)=(16C12)(0.7)^{12} (1-0.7)^{16-12}=0.2040

P(X=13)=(16C13)(0.7)^{13} (1-0.7)^{16-13}=0.1465

P(X=14)=(16C14)(0.7)^{14} (1-0.7)^{16-14}=0.0732

P(X=15)=(16C15)(0.7)^{15} (1-0.7)^{16-15}=0.0228

P(X=16)=(16C16)(0.7)^{16} (1-0.7)^{16-16}=0.0033

And replacing we got:

P(X

c) P(x \geq 10) = P(X=10)+P(X=11)+P(X=12)+P(X=13)+P(X=14)+P(X=15)+P(X=16)

And replacing we got 0.825

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=17, p=0.7)

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!}

Part a

And we want to find this probability:

P(X=16)=(16C16)(0.7)^{16} (1-0.7)^{16-16}=0.00332

Part b fewer than 10 will check bags

We want this probability:

P(X

We can use the complement rule and we have:

P(X

And we can find the individual probabilities like this:

P(X=10)=(16C10)(0.7)^{10} (1-0.7)^{16-10}=0.1649

P(X=11)=(16C11)(0.7)^{11} (1-0.7)^{16-11}=0.2099

P(X=12)=(16C12)(0.7)^{12} (1-0.7)^{16-12}=0.2040

P(X=13)=(16C13)(0.7)^{13} (1-0.7)^{16-13}=0.1465

P(X=14)=(16C14)(0.7)^{14} (1-0.7)^{16-14}=0.0732

P(X=15)=(16C15)(0.7)^{15} (1-0.7)^{16-15}=0.0228

P(X=16)=(16C16)(0.7)^{16} (1-0.7)^{16-16}=0.0033

And replacing we got:

P(X

Part c at least 10 bags

We can find this probability like this:

P(x \geq 10) = P(X=10)+P(X=11)+P(X=12)+P(X=13)+P(X=14)+P(X=15)+P(X=16)

And replacing we got 0.825

4 0
3 years ago
Victor spent 1/2 of his salary on rent, 1/4 of the remainder on food and saved \mbox{Sh 1500). How much was his salary?​
8090 [49]

Nag basa nito walang jõwa

6 0
1 year ago
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