Answers:
- a) Stratified random sampling, or simply stratified sampling. Each group individually is known as a stratum. The plural is strata. The key here is that each stratum is sampled, though we don't pick everyone from every stratum. We randomly select from each unit to have them represent their unit. Think of it like house of representative members that go to congress. We have members from every state, but Be sure not to mix this up with cluster sampling. Cluster sampling is where we break the population into groups or clusters, then we randomly select a few clusters in which every individual from those clusters is part of the sample.
- b) Simple random sampling (SRS). This is exactly what it sounds like. We're randomly generating numbers to help determine who gets selected. Think of it like a lottery. A computer is useful to make sure this process is quick, efficient and unbiased as possible. Though numbers in a box or a hat work just as well.
For each of the methods mentioned, they aren't biased since they have randomness built into their processes.
x+82+y
______________ =87
3
y-x=17
87,98, and 82.
Answer:
2400 and 3600
Step-by-step explanation:
Radio 1 cost = x
Radio 2 cost= 6000- x
- x*1.2+(6000-x)*0.9= 6000*1.02
- 1.2x-0.9x+5400=6120
- 0.3x= 6120-5400
- 0.3x= 720
- x=720/0.3
- x= 2400
- 6000- x= 3600
Answer: 80
Step-by-step explanation: multiple b(3) with everything its next to, then add it all up
There are two such numbers.
One of them is 2 + 9.5 = 11.5.
The other one is 2 - 9.5 = -7.5.
_____
If we consider "9.5 units from 2" to be 9.5 units in the positive direction, then the appropriate choice is 11.5.
