Answer:
y=
Step-by-step explanation:

multiply both sides
8y+5=6
move the constant to the right
8y=6-5
calculate
8y=1
divide both sides
y=
or y=0.125
Answer:
I am so lost but if it's how many honk out of how many you saw I would assume 7/7
Answer:
10/4
Step-by-step explanation:
This kind of situation is modelled by Bernoulli's formula. It applies everytime there is an experiments with two possible outcomes repeated n times. Each repetition is independent on the others, and we know the probability of the two outcomes p and 1-p. If we want the outcome with probability p to appear k times, the probability is

In your case, you run the "experiment" 4 times (you choose 4 printers) and want that all of them to be non-defective. A printer is non-defective with probability 1/2, since there are 5 defective and 5 non-defective printers.
So, our model is built with n = k = 4, p = 1-p = 1/2. The probability is

Answer: Stratified random sampling
Step-by-step explanation:
In statistics, stratified sampling is defined as a method of sampling in which sampling is done from a population which can be partitioned into subgroups known as strata.
Example of a stratified sampling
In statistical surveys, when subgroup in an overall population differs, it maybe of great advantageous to sample each subgroup (stratum) independently. Stratification is the process of dividing members of the population into homogeneous subgroups or subpopulations before sampling is made. The strata should define a partition of the population. That is, it has to be collectively exhaustive and mutually: all element in the population can only be assigned to one and only one stratum. Then systematic sampling or the simple random sampling is applied within each stratum. The main aim is to increase the precision of the sample by minimizing sampling error.