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Elan Coil [88]
3 years ago
11

What is the input value for which g(x) = -2? x = ?

Mathematics
1 answer:
Zina [86]3 years ago
3 0

g(x)=-2

Simplfy: y=-2

x=-9

*Look at where the points intersect

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Convert 4x + 2y = 25 from standard form to slope intercept form<br><br> Show your steps
Zigmanuir [339]

Answer:

<em>y = -2x + 25/2</em>

Step-by-step explanation:

Slope intercept form is y = mx + b.

You must solve the equation for y.

4x + 2y = 25

Subtract 4x from both sides.

2y = -4x + 25

y = -2x + 25/2

7 0
3 years ago
What do you have to do to each side to solve 5x &lt; 20? <br> Solve 5x &lt; 20. ✏️Show your work
sergejj [24]

Answer:

x < 4

Step-by-step explanation:

Step 1: Write inequality

5x < 20

Step 2: Solve for <em>x</em>

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3 years ago
Answer the following questions and round your answers to 2 decimal places. 84% of all Americans live in cities with population g
nignag [31]

Answer:

15.23% probability that exactly 42 of them live in cities with population greater than 50,000 people.

Step-by-step explanation:

For each American, there are only two possible outcomes. Either they live in cities with population greater than 50,000 people. Or they do not. The probability of a person living in a city with population greater than 50,000 people is independent of any other person. So we use 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.

84% of all Americans live in cities with population greater than 50,000 people.

This means that p = 0.84

If 50 Americans are selected at random, Find the probability that Exactly 42 of them live in cities with population greater than 50,000 people.

This is P(X = 42) when n = 50. So

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

P(X = 42) = C_{50,42}.(0.84)^{42}.(0.16)^{8} = 0.1523

15.23% probability that exactly 42 of them live in cities with population greater than 50,000 people.

4 0
3 years ago
How could you describe this graph?
Musya8 [376]

It is definitely skewed left if thats what you need

6 0
3 years ago
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