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Nikolay [14]
3 years ago
12

A city council has requested a household survey be conducted in a suburban area of their city. the area is broken into many dist

inct and unique neighborhoods, some including large homes, some with only apartments. which approach would likely be the least effective? 1. simple random sampling . 2. cluster sampling. 3. strati ed sampling. 4. blocked sampling.
Business
1 answer:
Simora [160]3 years ago
8 0

The answer is<u> "2. cluster sampling."</u>


Cluster sampling alludes to a kind of sampling technique . With cluster sampling, the scientist partitions the populace into isolated gatherings, called groups. At that point, a basic random sample of clusters is chosen from the populace. The analyst leads his investigation on information from the inspected clusters.  

Contrasted with simple random sampling and stratified sampling, cluster sampling has points of interest and disservices. For instance, given equivalent example sizes, group testing normally gives less accuracy than either simple random sampling or stratified sampling. Then again, if travel costs between clusters are high, cluster sampling  might be more practical than alternate strategies.

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Answer:

$0.5

Explanation:

A plant's fixed total overhead cost is $500,000 for a year

400,000 widgets are required to be produced for this period

All processes require a 40,000 machine hours and the widgets use 16,000 hours out of the total hours

The first step is to calculate the fixed overhead application rate

= $500,000/40,000

= $12.5 machine-hour

The fixed overhead that is applied to the widgets can be calculated as follows

= $12.5 × 16,000

= $200,000

Therefore, the fixed overhead that is applied to each of the widgets produced can be calculated as follows

= 200,000/400,000

= $0.5

Hence the fixed overhead that is applicable to each widgets is $0.5

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