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.
The ratio being 0.55 means 55% of students voted for the person who ended up winning. If there were 40 people who voted, just find 55% of 40.
This is done by 0.55 • 40, which equals 22.
So 22 students voted for the person who ended up winning.
Answer:
It will cost $4.50 for 9 kiwis
Step-by-step explanation:
Lets find the cost per kiwi
$3 / 6 kiwis
.50 per kiwi
Now we have 9 kiwis
$.50 (9)
$4.50
It will cost $4.50 for 9 kiwis
Answer:
positive
Step-by-step explanation:
it is positive
Answer:
The answer is 175.5.
Step-by-step explanation:
This is because 25% of $260 is $65. Then you must subtract that from the original price. $260 - $65 = $195. Then, it says '10% off the sale price'. The sale price is $195. 10% of this is 19.5. Finally, you subtract this from the $195, with a final amount of $175.50
