The mean of sample means is the same as the mean of the underlying distribution.
The standard deviation of sample means is the original distribution sample mean divided by the square root of the number of samples.
Mean of sample mean distribution: 64
SD of sample mean distribution: 4/√64 = 1/2
Answer: (2x+3)(x+3)
Step-by-step explanation:
Looking at this, you know that it must look something like
(? +3)(?+3) , because they must multiply to 9. The ?s must multiply to 2x^2, the most plausible values being 2x and x, ending us up with (2x+3)(x+3)
Answer:
The value of P (A ∩ B) is 0.25.
Step-by-step explanation:
Independent events are those events that do not effect the occurrence of each other, i.e. if event <em>X </em>and <em>Y</em> are independent then the occurrence of <em>X</em> and <em>Y </em>are not influenced by each other.
For independent events <em>X</em> and <em>Y</em> the joint probability of <em>X</em> and <em>Y</em> is:

It is provided that events <em>A</em> and <em>B </em>are independent of each other.
And P (A) = P (B) = 0.50.
Compute the value of P (A ∩ B) as follows:

Thus, the value of P (A ∩ B) is 0.25.
Answer:
perimeter 140
Step-by-step explanation:
60L x 10W = 600
60(2) + 10(2) = 140
:D
Because 12 + 3 is not equal to 16...