Answer:
25000 mg.
Step-by-step explanation:
There are 1000 mg per gram. If we multiply 1000*25 we will get 25000 mg of sugar.
Answer:
y = -11/6z - 6
Step-by-step explanation:
11z +6y = -36
-11z -11z
6y = -11z -36
----- ----- ----- divide by 6
6 6 6
y = - 
z -6
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:
Step-by-step explanation:
Use the sum-product pattern
Common factor from the two pairs
Rewrite in factored form
