Answer:
The standard deviation for the income of super shoppers is 76.12.
Step-by-step explanation:
The formula to compute the standard deviation for the grouped data probability distribution is:
![\sigma=\sqrt{\sum [(x-\mu)^{2}\cdot P(x)]}](https://tex.z-dn.net/?f=%5Csigma%3D%5Csqrt%7B%5Csum%20%5B%28x-%5Cmu%29%5E%7B2%7D%5Ccdot%20P%28x%29%5D%7D)
Here,
<em>x</em> = midpoints

Consider the Excel table attached below.
The mean is:

Compute the standard deviation as follows:
![\sigma=\sqrt{\sum [(x-\mu)^{2}\cdot P(x)]}](https://tex.z-dn.net/?f=%5Csigma%3D%5Csqrt%7B%5Csum%20%5B%28x-%5Cmu%29%5E%7B2%7D%5Ccdot%20P%28x%29%5D%7D)

Thus, the standard deviation for the income of super shoppers is 76.12.
Answer:

Step-by-step explanation:



Hope I helped!
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Answer:
A. 2x + 9 + 11 over x - 2
Step-by-step explanation:
2x^2+5x-7 over x-2
divide - 2x^2 + 5x - 7 over x - 2 = 2x + 9x - 7 over x - 2
= 2x + 9x - 7 over x - 2
divide - 9x - 7 over x - 2 = 9 + 11 over x - 2
= 2x + 9 + 11 over x - 2
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Thus the correct answer is
the last option .
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Answer: 5.5%
Step-by-step explanation: 5.5% of 38% is $2.09 adding it to $38.00 makes its $40.09