Write each vector as a linear combination of the vectors in s. s = {(2, 0, 7), (2, 4, 5), (2, −12, 13)} (a) u = (−1, 7, −7)
Paladinen [302]
The vectors in s are linearly dependent, but you can make u from
.. (2, 4, 5)/16 -9*(2, -12, 13)/16 = (-1, 7, -7)
306/6 = 51 [it <u><em>is</em></u> divisible]
306/4 = 76.5 [it <u><em>is</em></u> divisible, but not equally divisible since there is a remainder]
306/3 = 102 [it <u><em>is</em></u> divisible]
306/2 = 153 [it <u><em>is</em></u> divisible]
Answer:
1.07 X 10^5
Step-by-step explanation:
Answer:
The population mean is a true measure of the central tendency of the distribution of Y whereas the sample average is an estimator of the population mean.
Step-by-step explanation:
Out of all the statements given the correct statement is:
The population mean is a true measure of the central tendency of the distribution of Y whereas the sample average is an estimator of the population mean.
A sample mean is calculated from a dataset that is sampled out of the entire population data. And this sample mean is used to estimate or predict the population mean
