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:
Measurements.
Step-by-step explanation:
Measurements are important because they help us in our every day lives such as cooking and baking, construction and many other things but measurements also help us find out our weight and height, or even what size shoe we have. So basically measurements are important in every part of our every day lives.
Hope it helps!
OwO
204 902.0
124 510.0
Move the decimal point to the left, until you have a number less than 10.
204 902 = 2.04902 × 10⁵
124 510 = 1.2451 × 10⁵
Answer:
=12x+28
Step-by-step explanation:
