Answer:
Where's the question or picture?
Step-by-step explanation:
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: $1.12
Explanation:
Answer:
Construct validity
Step-by-step explanation:
Construct validity is the most important and outmost validity that is used in scientific methods. Construct validity tells us how an experiment or a test is performed well and how well is the outcome of the experiment, How can the experiments can be measured upto its claims. Construct validity is not concerned about the simple question or the factual question that if an experiment measures an attribute. Construct validity is thus an evaluation of the quality of the experiment.
I think its 20 pounds per 17 square feet (simplest form)
