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Rus_ich [418]
2 years ago
15

Can someone help and explain how to find domain and range I'm confused doing it on the last to I know how to do it with x just n

ot x+1 and x-2??????​

Mathematics
1 answer:
Thepotemich [5.8K]2 years ago
8 0

Answer:

Domain is the set of inputs that will give you a defined output.

In example, f(x)=5/x, the domain would be all real numbers except for 0, because if it would be 0, it would be 5/0 which would be undefined.

Range is the set of outputs that are possible.

In example, f(g)=g(0), the range would be 0.

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Jamarion can run 4 miles in 30 minutes. What is his speed in miles per hour?

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What is the slope of the line y = 2 x + 5 ? PLS HELP ILL MARK BRAINLEST
kondor19780726 [428]

Answer:

2

Step-by-step explanation:

x is the slope so the number before x is the slope.

7 0
2 years ago
Consider the probability that greater than 26 out of 124 software users will call technical support. Assume the probability that
Mekhanik [1.2K]

Answer:

Since n(1-p) = 3.72 < 10, the normal curve cannot be used as an approximation to the binomial probability.

100% probability that greater than 26 out of 124 software users will call technical support.

Step-by-step explanation:

Test if the normal curve can be used as an approximation to the binomial probability by verifying the necessary conditions.

It is needed that:

np \geq 10 and n(1-p) \geq 10

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.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

Out of 124 software users

This means that n = 124

Assume the probability that a given software user will call technical support is 97%.

This means that p = 0.97

Conditions:

np = 124*0.97 = 120.28 \geq 10

n(1-p) = 124*0.03 = 3.72 < 10

Since n(1-p) = 3.72 < 10, the normal curve cannot be used as an approximation to the binomial probability.

Consider the probability that greater than 26 out of 124 software users will call technical support.

The lowest possible probability of those is 27, so, if it is 0, since it is considerably below the mean, 100% probability of being greater. We have that:

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

P(X = 27) = C_{124,27}.(0.97)^{27}.(0.03)^{97} = 0

1 - 0 = 1

100% probability that greater than 26 out of 124 software users will call technical support.

3 0
3 years ago
What is 41687 rounded to the nearest Highest Place
erik [133]

Answer:

40,000

Step-by-step explanation:

8 0
2 years ago
The length of DE (the minor arc) is 52 cm. What is the circumference of OF?
nordsb [41]

Answer:

D, 312 CM.

Step-by-step explanation:

DE/C = 60/360 = 1/6

Cross-multiplying

C = 6DE = 6 x 52 = 312 CM

8 0
3 years ago
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