The span of 3 vectors can have dimension at most 3, so 9 is certainly not correct.
Check whether the 3 vectors are linearly independent. If they are not, then there is some choice of scalars 
(not all zero) such that
which leads to the system of linear equations,
From the third equation, we have 
, and substituting this into the second equation gives
and in turn, 
. Substituting these into the first equation gives
which tells us that any value of 
will work. If 
, then 
and 
. Therefore the 3 vectors are not linearly independent, so their span cannot have dimension 3.
Repeating the calculations above while taking only 2 of the given vectors at a time, we see that they are pairwise linearly independent, so the span of each pair has dimension 2. This means the span of all 3 vectors taken at once must be 2.
Answer:
B. distribution skewed to the right, mean pulled to the right, median not effected
Step-by-step explanation:
When a distribution is skewed to the right, it means that the data is positively skewed or has more positive numbers than negative numbers.
An outlier can affect the mean of a distribution since a high value outlier will make the mean be much higher than the median. In this case, since the distribution is positively skewed, a high outlier will pull the mean to the right (to higher positive values).
If 5 is 5%, then we can say that 1 is 1%, so we can multiply by 100 to get 100% which is 100, your answer. I hope this helps!
Answer:
11
Step-by-step explanation:
2x+3
2(4)+3
8+3
11
