Answer:
The answe wo
Step-by-step explanation:
Answer:
hiiii
Step-by-step explanation:
but u have posted all the pictures upside down so can't understand anything
The function is
![f(x)=12^x](https://tex.z-dn.net/?f=f%28x%29%3D12%5Ex)
.
This means that as we get from 1 to 2, we have the following values:
![f(1)=12^1=12](https://tex.z-dn.net/?f=f%281%29%3D12%5E1%3D12)
, and
![f(2)=12^2=12\cdot12](https://tex.z-dn.net/?f=f%282%29%3D12%5E2%3D12%5Ccdot12)
.
Similarly, if we check x=3, we have
![f(3)=12^3=12\cdot12\cdot12](https://tex.z-dn.net/?f=f%283%29%3D12%5E3%3D12%5Ccdot12%5Ccdot12)
.
We can see that as x changes by 1 (with greater values), y increases by a factor of 12.
Answer: multiply by 12
Answer:
The angle (7x-14) and (4x+19) are corresponding angles. Both angles are 63 degrees.
Step-by-step explanation:
Since the two angles are corresponding, they are equal.
7x-14 = 4x + 19
Subtract the 4x on right side to get 19 alone. Do the same on the left side since, whatever you do on one side, you have to do to the other.
3x-14 = 19
Add the -14 on the left side to get 3x alone. Do the same on the right side since, whatever you do on one side, you have to do to the other.
3x = 33
Divide by 3.
x = 11
Answer:
No, the Roger’s claim is not correct.
Step-by-step explanation:
We are given that Roger claims that the two statistics most likely to change greatly when an outlier is added to a small data set are the mean and the median.
This statement by Roger is incorrect because the median is unaffected by the outlier value and only the mean value gets affected by the outlier value.
As the median represents the middlemost value of our dataset, so any value which is an outlier will be either at the start or at the end will not the median value. So, the median will not likely change when an outlier is added to a small data set.
Now, the mean is the average of all the data set values, that is the sum of all the observations divided by the number of observations. The mean will get affected by the outlier value because it take into account each and every value of the data set.
Hence, the mean will likely to change greatly when an outlier is added to a small data set.