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Katena32 [7]
3 years ago
13

What function below is the inverse of :

Mathematics
2 answers:
posledela3 years ago
7 0

The second option is right, because inverse means opposite. And to get the opposite just flip it and you have your answer.

d1i1m1o1n [39]3 years ago
3 0

Answer:

The given function is:

    y=\frac{7x-1}{2}\\\\2y=7x-1\\\\2y+1=7 x\\\\x=\frac{2y+1}{7}\\\\ \text{Replacing x by y and y by x ,to get inverse of the function}\\\\y=\frac{2x+1}{7}\\\\f^{-1}(x)=\frac{2x+1}{7}

Option C

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Multiplies to -1120 adds to 3
TEA [102]
With these, always write out the multiples first.

Start like this:
(assume one of the factors is negative)
1 and 1120
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from those, the obvious choice is the one with a difference of three. In this case, 32 and 35, because -32 + 35 equals 3.
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Answer:


Step-by-step explanation:


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Please help 10 points !!
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The will intersect at a point with a positive x coordinate.

We can tell this because they actually already have a shared space on the graph. If you plot the 3 points of g(x) given, you'll see that f(x) and g(x) both share the coordinate (1, 3). As a result, we know that they do intersect and it is where x (1) is a positive number.

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2 years ago
In a given year, the average annual salary of a NFL football player was $189,000 with a standard deviation of $20,500. If a samp
nika2105 [10]

Answer:

15.15% probability that the sample mean will be $192,000 or more.

Step-by-step explanation:

To solve this problem, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 189000, \sigma = 20500, n = 50, s = \frac{20500}{\sqrt{50}} = 2899.14

The probability that the sample mean will be $192,000 or more is

This is 1 subtracted by the pvalue of z when X = 192000. So

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

By the Central Limit Theorem

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

Z = \frac{192000 - 189000}{2899.14}

Z = 1.03

Z = 1.03 has a pvalue of 0.8485.

1-0.8485 = 0.1515

15.15% probability that the sample mean will be $192,000 or more.

7 0
3 years ago
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