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zlopas [31]
2 years ago
5

Brian is purchasing a $60 sweater at 25% off. There is an additional

Mathematics
2 answers:
guapka [62]2 years ago
7 0
60 • .25 = 15
60 - 15 = 45
45 + 5 = $50
Brian paid $50 in total
vagabundo [1.1K]2 years ago
3 0
Oh xbdii kk dneisbehsvkasnsk
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Hellppppppppppppp I neeeeed itttt
sattari [20]

Answer:

20

Step-by-step explanation:

6 0
3 years ago
Select all triangles whose side lengths prove they are right triangles. You must select all that apply.
Bogdan [553]
It is D.

Reason. 3^2 is 9, 4^2 is 16.
16+9= 25
The square root of 25 is 5.
Therefore it is D.
6 0
2 years ago
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Defiantly need help with this one please HELP AND EXPLAIN
slega [8]
12 miles in 48 minutes
12/48 or 1/4 miles per minute
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What quadrant would the ordered pair -4,-6 fall in​
quester [9]

Answer:

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Step-by-step explanation:

quadrent 3

8 0
3 years ago
nventing is a difficult way to make money. Only 5% of new patents earn a substantial profit. A certain city has just had30 indep
Arlecino [84]

Answer:

P(X \geq 2) = 1-P(X

And we can find the individual probabilities using the probability mass function and we got:

P(X=0) = (30C0) (0.05)^0 (1-0.05)^{30-0} =0.2146

P(X=1) = (30C1) (0.05)^1 (1-0.05)^{30-1} = 0.3389

And replacing we got:

P(X \geq 2) = 1-P(X

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".

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

X \sim Binom(n=30, p=0.05)

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!}

Solution to the problem

For this case we want this probability:

P(X \geq 2)

And we can use the complement rule and we got:

P(X \geq 2) = 1-P(X

And we can find the individual probabilities using the probability mass function and we got:

P(X=0) = (30C0) (0.05)^0 (1-0.05)^{30-0} =0.2146

P(X=1) = (30C1) (0.05)^1 (1-0.05)^{30-1} = 0.3389

And replacing we got:

P(X \geq 2) = 1-P(X

3 0
3 years ago
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