Step-by-step explanation:
just subscribe the value of x thn solve
after that put it in the function
Answer:
23 degrees
Step-by-step explanation:
So basically you plug in -10x + 58 = 111 and then solve for x. You then plug x into 6x +41. Thats how you find the angle measure. Plz award brainliest
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:
4.5 inches
Step-by-step explanation:
We are given the formula:
V = 
Plug in the the radius (3) and volume (127.23):
127.23 = 
Square the 3 :
127.23 = 
Multiply the pi & volume:
127.23 = 28.26h
Divide both sides by 28.26:
127.23 ÷ 28.26 = 28.26h ÷ 28.26
h = 4.5021231...
I hope this helps!
Data is collected on the types of vehicles
this is cross sectional data
Time is not relavant for this data and hence cannot be time series data.
b)
from the given information, the variable is type of vehicle which is categorical data
c)
this data is only about the more frequent vehicles the chain cannot ignore the vehicles which are not parked
