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.
Answer: The correct answer choice is B
Step-by-step explanation:
I graphed each function on the desmos calculator and answer choice B matched the graph.
Answer: son 24 daughter 12
100= total years of age of all ppl in 4years but we want their age now
100=(52+4)+(2x+4)+(x+4)
3x=36
x=12
So daughter is 12 and son is 2x or 24
Any questions on how to set this up or how to arrive at the answer, please feel free to ask. Thanks!
I think that the third side would be 13 inches. My reasons are :
1) An isosceles triangle's two sides that point upward are usually longer than the last side on the bottom.
2) Unless it is a scalene triangle, either two sides or all sides are equal.
