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3 years ago

Which of the following relations is a function?

Mathematics

1 answer:

Marizza181 [45]3 years ago

5 0

Answer:

C is the correct answer.

Step-by-step explanation:

Look at the X values for each coordinate pair. If an X value is represented twice with different Y values, it is not a function. If no X value is repeated, or it is repeated but has the same Y value, then it is a function. A has two values for x = 1, B has two values for x = -3, D has two values for x = 7, but C does not, so it is the correct answer.

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Suppose the population of a town is 2,200 and is growing 4% each year. Predict the population after 10 years

Olegator [25]

Answer:

A 4% increase per annum increases the population by a multiple of 1.04.

population after 10 years = initial population × 1.04^(years)

=2200×1.04^(10)= 3256.54 or 3257 rounded up

8 0

2 years ago

If the graph of the function f (X) is represented in the attached figure, which of the graphs presented in the options represent

Ahat [919]

Answer:

A. g(x) = 1/3x + 1

Step-by-step explanation:

The line has points:

(0, -3) and (1, 0)

It has y-intercept b = -3 and a slope:

m = (0 + 3)/1 = 3

The equation:

f(x) = 3x - 3

It inverse is (let's call it g(x)):

x = 3y - 3
3y = x + 3
y = 1/3x + 1
g(x) = 1/3x + 1

The slope of the inverse function is 1/3 and the y-intercept is 1

The graph reflecting this is A

6 0

3 years ago

Read 2 more answers

WILL GIVE BRAINLIEST graph y=3x-5 using a table (show your work pls)

amid [387]

Answer:

The answer is (-5,3)

Step-by-step explanation:

Start at (0,0),then move 5 spaces left.Then 3 spaces up!!

Then you get (-5,3)

Hope this helps!!

3 0

3 years ago

What would happen to the mean of the sampling distribution of p-hat if the Statistics major predicted the sampling distribution

Flura [38]

Answer:

Step-by-step explanation:

If repeated sample sizes of large sizes are taken at random, and proportion P is calculated for samples the sample mean will have a normal distribution irrespective of the original distribution.

In other words, the sample proportion will follow a normal distribution with mean = p-hat and std deviation = $\sqrt{\frac{p(1-p)}{n} }$

This is a direct corrollary of central limit theorem for sample means.

Hence we have irrespective of sample size, sample proportion will have expected value same as p-hat.

So whether sample size is 500 or 100 the p hat will have the same distribution.

8 0

4 years ago

-x + 5y = 14; ( -5, -2 )

Katyanochek1 [597]

-(-5) + 5(-2) = 14

5 -10 = 14

-5 =/= 14

8 0

3 years ago