Part A:
From the central limit theorem, since the number of samples is large enough (up to 30), the mean of the the mean of the average number of moths in 30 traps is
0.6.
Part B:
The standard deviation is given by the population deviation divided by the square root of the sample size.

Part C:
The probability that an approximately normally distributed data with a mean, μ, and the standard deviation, σ, with a sample size of n is greater than a number, x, given by

Thus, given that the mean is 0.6 and the standard deviation is 0.4, the probability that <span>the average number of moths in 30 traps is greater than 0.7</span> given by:
Answer:
The answer is D infinitely many
Step-by-step explanation:
Answer:
100
Step-by-step explanation:
In economics, for a firm to earn optimum profits, it is important that it achieves a long run equilibrium. We can transfer the same to the case here that for the club to achieve optimum attendance, it must achieve long- run equilibrium attendance.
The condition for Long Run Equilibrium is that:
Club meeting attendance this week = Club meeting attendance next week
X = 80 + 0.20X
X - 0.20X = 80
X = 80/0.8
X = 100.
The long- run equilibrium attendance for this club is 100.
$54.79 - $29.99 = $24.80
$24.80 + .25 = $25.05
$25.05 - $4.07 = $20.98
Mrs.Heat has $20.98 dollars in her wallet now.
:)