Answer:
The distribution of the sample data will approach a normal distribution as the sample size increases.
Step-by-step explanation:
Central limit theorem states that the mean of all samples from the same population will be almost equal to the mean of the population, if the large sample size from a population, is given with a finite level of variance.
So, here Option C is not correct conclusion of central limit theorem -The distribution of the sample data will approach a normal distribution as the sample size increases.
We can say that the average of sample mean tends to be normal but not the sample data.
Answer:
Okay. I got:
FGCE
Step-by-step explanation:
Answer:
The set of vectors A and C are linearly independent.
Step-by-step explanation:
A set of vector is linearly independent if and only if the linear combination of these vector can only be equalised to zero only if all coefficients are zeroes. Let is evaluate each set algraically:
,
and
:



The following system of linear equations is obtained:



Whose solution is
, which means that the set of vectors is linearly independent.
,
and 



The following system of linear equations is obtained:


Since the number of variables is greater than the number of equations, let suppose that
, where
. Then, the following relationships are consequently found:




It is evident that
and
are multiples of
, which means that the set of vector are linearly dependent.
,
and 



The following system of linear equations is obtained:



Whose solution is
, which means that the set of vectors is linearly independent.
The set of vectors A and C are linearly independent.
Could you show where is Point H?
Answer:
PEMDAS
Step-by-step explanation:
PEMDAS