Answer:
Well, these simulation are based on the statistics (lognormal-distributed PE, χ²-distributed s²). If you believe that only the ‘gold-standard’ of subject-simulations are valid, we can misuse the function sampleN.scABEL.sdsims() – only for the 3- and 4-period full replicates and the partial replicate:
# define a reg_const where all scaling conditions are ‘switched off’
abe <- reg_const("USER", r_const = NA, CVswitch = Inf,
CVcap = Inf, pe_constr = FALSE)
CV <- 0.4
2x2x4 0.05 0.4 0.4 0.95 0.8 1.25 34 0.819161 0.8
Since the sample sizes obtained by all simulations match the exact method, we can be confident that it is correct. As usual with a higher number of simulations power gets closer to the exact value.
Step-by-step explanation:
Answer: the first one
Step-by-step explanation:
Answer:
The area of the square is greater than the area of the circle.
The given, the proposition , the statement column, the reason column, and the diagram if one is given.
Answer:
Step-by-step explanation:
Given that X no of students applying for Honors college is binomial with n =1500 and p = 0.13
a) Mean = E(x) = np = 
b) Variance= npq =
Std dev =13.025
c) Var = 169.65
d) P(X<160)
=0.00261
e) P(X>200) = 1-F(200)=0.3336
is the formula used.
