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mel-nik [20]
3 years ago
9

HELP ME PLEASE!!! OVERDUE IN 10 MINUTES!!! WILL GIVE BRAINLIEST AND 8 POINTS!!!

Mathematics
2 answers:
inn [45]3 years ago
8 0

Answer:

The answer is A.1 because the wave with the most hills/bumps therefore it has the highest energy.

Bess [88]3 years ago
5 0
3 Is the highest Energy
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Simplify the expression -3 (b-7)
Nataliya [291]
Simply distribute the -3 across the b and -7.

-3(b - 7) = (-3 * b) + (-3 * -7) = -3b + 21

Hope this was helpful, if it wasn't just drop me a DM explaining what didn't make sense.
5 0
3 years ago
Which statements are true about the place values in the number 99.999?
dalvyx [7]

A and B are correct... reason is because hundredths is 1/10 to tenths and tenths are 10 times bigger than hundredths. C and D are wrong.

Hope this helped!

Nate

4 0
3 years ago
HELPPP Im Being Timed What is this eqaul to
Svetach [21]

Answer:

\right)\left(\dfrac{1}{216}  \right)

Step-by-step explanation:

Given expression:

\left(\dfrac{1}{6}  \right)^3

Expand following:

\left(\dfrac{1}{6}  \right)\left(\dfrac{1}{6}  \right)\left(\dfrac{1}{6}  \right)

Distribute inside parenthesis:

\right)\left(\dfrac{1}{36}  \right)\left(\dfrac{1}{6}  \right)

Multiply/Simplify following:

\right)\left(\dfrac{1}{216}  \right)

6 0
1 year ago
Read 2 more answers
I need 3 More questions answered on The back of The page by 11:00 That’s when I leave for class
kogti [31]

Answer:

Number 23 is C Number 25 is A and Number 26 is D hope this helps :)

Step-by-step explanation:


7 0
3 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
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