I cant read the letters but the bottom left is nonlinear
you can use the formula for sample means:
[/tex]
where m stands for a value of the sample mean.
We are looking for the value, specifically for its two borderline values: 70 and 80
and their cumulative probabilities, p(z(80)) and p(z(70)). The difference p(z(80))-p(z(70))
will give the probability that m falls in the interval [70,80]
So let's get cracking at it:
These are very large values of z. You may notice that any z-table online won't even bother covering range that high - the probabilities for these values are virtually 0 (in the neg case) 1 (in the pos case).
This means that numerically the probability of the sample mean of 64 samples falling within the range of 1 standard deviation is very close to 1
So the answer choice should be 1.0
Answer:
-18y = 1
Step-by-step explanation:
Answer:
no they share the same y value for two different x values
Answer: b. 30%
Step-by-step explanation:
given data:
population size (n) = 100
A1 = 0.7
A2 = 0.3
if A1 and A2 are selectively neutral, the probability that A2 would drift to fixation
= 0.3
= 30%
there is a. 30% chance that A2 would drift towards fixation.