I believe it's one of the four in photo.
Usually one will differentiate the function to find the minimum/maximum point, but in this case differentiating yields:
![\frac{2\pi}{7(x-5)^{2}}\sin{\frac{2\pi}{7(x-5)}}}](https://tex.z-dn.net/?f=%5Cfrac%7B2%5Cpi%7D%7B7%28x-5%29%5E%7B2%7D%7D%5Csin%7B%5Cfrac%7B2%5Cpi%7D%7B7%28x-5%29%7D%7D%7D)
which contains multiple solution if one tries to solve for x when the differentiated form is 0.
I would, though, venture a guess that the minimum value would be (approaching) 5, since the function would be undefined in the vicinity.
If, however, the function is
![-1+\cos{\frac{2\pi}{7}(x-5)}}](https://tex.z-dn.net/?f=-1%2B%5Ccos%7B%5Cfrac%7B2%5Cpi%7D%7B7%7D%28x-5%29%7D%7D)
Then differentiating and equating to 0 yields:
![\sin{\frac{2\pi}{7}(x-5)}}=0](https://tex.z-dn.net/?f=%5Csin%7B%5Cfrac%7B2%5Cpi%7D%7B7%7D%28x-5%29%7D%7D%3D0)
which gives:
![x=5](https://tex.z-dn.net/?f=x%3D5)
or
![8.5](https://tex.z-dn.net/?f=8.5)
We reject x=5 as it is when it ix the maximum and thus,
![x=8.5\pm7n](https://tex.z-dn.net/?f=x%3D8.5%5Cpm7n)
, for
The answer is No because the sample is not representative of the whole population. The standard deviation of the sample is not a good estimate of the variation of the salaries of the TV personalities in general because a single sample is not counted as a whole. Standard Deviation is a quantity that is calculated to indicate the extent of deviation of the population or group as a whole. Standard deviation also represented by the symbol σ means sigma in Greek letter or s in Latin letter. It is also the measurement of a set of data values that are used to quantify the amount of variation.
Answer:
If you combine everything its <em>-4y+3x-9</em>
Step-by-step explanation:
Answer:
Mean is greater
Step-by-step explanation:
For a skewed distribution, then the tail is longer to one side from the center than to the other. In a right skewed distribution, the tail is longer to the right.
When a distribution is skewed, the mean will be closer to the tail Than the median. Therefore. For a right skewed histogram, the mean is closer to the tail of the histogram and hence closer to the right. Once this happens, values closer to the right of a distribution are higher (number line). Thus the mean will be greater than the median.