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musickatia [10]
3 years ago
7

Which product is shown on this number line

Mathematics
1 answer:
aleksklad [387]3 years ago
4 0

Answer:

Would ypu plz show us the number line so at least i could answer the question

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What is the equation in slope intercept form of a line with slope -4/3 and y-intercept -2
Marta_Voda [28]
Y=mx+b
m=slope
b=y-intercept

Given
Slope=-4/3
y-intercept=-2

Plug them into the slope intercept formula
Final answer: y=-4/3-2
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What is the domain and range for f(x)=x^2+8
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Domain is (-infinity, infinity)
Range is [8, infinity)
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Angle sum in a triangle
Aneli [31]

Answer:

x=8

Step-by-step explanation:

7x-6+60+70=180°

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3 years ago
The National Safety Council publishes information about automobile accidents in Accident Facts. According to that document, the
vladimir1956 [14]

Answer:

P(X = x) = C_{8,x}.(0.4)^{x}.(0.6)^{8-x}

In which x is the number of which we want to find the probability.

Step-by-step explanation:

For each traffic fatality, there are only two possible outcomes. EIther it involved an intoxicated or alcohol-impaired driver or nonoccupant, or it didn't. Traffic fatalities are independent of other traffic fatalities, which means that the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

The probability is .40 that a traffic fatality involves an intoxication or alcohol-impaired driver or nonoccupant.

This means that p = 0.4

Eight traffic fatalities

This means that n = 8

Find the probability that the number which involve an intoxicated or alcohol-impaired driver or nonoccupant is

This is P(X = x), in which x is the number of which we want to find the probability. So

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = x) = C_{8,x}.(0.4)^{x}.(0.6)^{8-x}

3 0
3 years ago
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