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Drupady [299]
3 years ago
8

Which of the following functions has an inverse that is not a function? y = x y = 2x + 1 y = x²

Mathematics
1 answer:
mamaluj [8]3 years ago
8 0

ANSWER

y =  {x}^{2}

EXPLANATION

For a function to be an invertible, it must be a one-to-one function.

In other words , it's graph should pass the horizontal line test.

It is obvious that,

y = x

and

y = 2x + 1

will pass the horizontal line test.

But

y =  {x}^{2}

has a v-shape and hence cannot pass the horizontal line test.

This means that y=x² is not invertible. That is, its inverse is not a function.

Let us quickly check that:

y =  {x}^{2}

Interchange x and y.

x =  {y}^{2}

Solve for y,

y =  \pm \:  \sqrt{x}

This is not a function, because it doesn't pass the vertical line test.

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Answer:

The mean would be $322,343 and the median would be $196,723.

Step-by-step explanation:

Since the distribution of individual incomes is skewed to the right, it means that the distribution has a long right tail.

Drawing a distribution with this characteristic, we can see how the majority of the data falls into the left side of the graphic, meaning that a lot of people receive less income. Following this reasoning, the mean which is the amount of the data (in this case individual income) divided by the amount of people, would be the higher number, meaning that the few people who earn more money would influence in making this number higher.

Following this reasoning, the median (which is not influenced by this difference) would be the less high number.

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What is 550 divide by 76
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Answer:

7.236

Step-by-step explanation:

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3 years ago
<strong>Racionaliza las siguientes expresiones:</strong><br />a) 1-√3/5√2<br />b) 3-√3/3+√3
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3 years ago
For a standardized psychology examination intended for psychology majors, the historical data show that scores have a mean of 50
Volgvan

Answer:

P(\bar X>530)=1-0.808=0.192

Step-by-step explanation:

1) Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Let X the random variable that represent the scores, and for this case we know the distribution for X is given by:

X \sim N(\mu=505,\sigma=170)  

And let \bar X represent the sample mean, the distribution for the sample mean is given by:

\bar X \sim N(\mu,\frac{\sigma}{\sqrt{n}})

On this case  \bar X \sim N(505,\frac{170}{\sqrt{35}})

2) Calculate the probability

We want this probability:

P(\bar X>530)=1-P(\bar X

The best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\frac{\sigma}{\sqrt{n}}}

If we apply this formula to our probability we got this:

P(\bar X >530)=1-P(Z

P(\bar X>530)=1-0.808=0.192

3 0
3 years ago
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