How Can a Random Number Table Be Used to Sample Cotton-Top Tamarins?

In summary, a random-number table can be used to select a sample of 5 out of 80 cotton-top tamarins for a study of tail lengths by assigning numbers 1 to 80 to the tamarinds and then choosing 5 two-digit numbers from the table that are less than or equal to 80. This method ensures a random and unbiased selection process.
  • #1
MysticGarC
1
0
okay guys this is the question:

A zoo has 80 cotton-top tamarins. Describe in detail how the random- number table given below could be used to select a sample of 5 of them, for a study of tail lengths.
8330 3992 1840 0330 1290 3237 9165 4815 0766
(5marks)

So I am not really sure where to go with this one, i can't see it being any type of systematic so it must be simple random sampling, but the issue is, there are nine groups of four numbers and I can't see a way to get these 36 numbers to relate back to the 80 tamarins.
Any help appreciated.
 
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  • #2
First assign numbers 1 to 80 to the 80 tamarinds.

You have 9 sets of 4 digit number:
8330 3992 1840 0330 1290 3237 9165 4815 0766

Break them into 18 groups of 2 digit numbers.
83 30 39 92 18 40 03 30 12 90 32 37 91 65 48 15 07 66

Drop any of those larger than 80.
30 39 18 40 03 30 12 32 37 65 48 15 07 66
Choose 5 of those in some way that preserves the randomness.
One way would be to choose tamarinds numbered 30, 39, 19, 40, and 03.
 

FAQ: How Can a Random Number Table Be Used to Sample Cotton-Top Tamarins?

What is random sampling?

Random sampling is a statistical method used to select a subset of individuals or items from a larger population. This subset is chosen in such a way that every individual or item in the population has an equal chance of being selected.

Why is random sampling important?

Random sampling is important because it helps to ensure that the sample being studied is representative of the larger population. This allows researchers to make accurate and reliable inferences and generalizations about the population based on the sample.

How is random sampling different from other sampling methods?

Random sampling differs from other sampling methods in that it is based on chance rather than on a specific characteristic or trait of the individuals or items being selected. This helps to reduce bias and increase the generalizability of the results.

What are some common techniques for conducting random sampling?

Some common techniques for conducting random sampling include simple random sampling, stratified random sampling, and cluster random sampling. These techniques vary in their approach to selecting individuals or items from the population.

What are the limitations of random sampling?

While random sampling is a powerful tool for research, it does have some limitations. One limitation is that it can be time-consuming and costly to implement, especially for large populations. Additionally, random sampling may not be suitable for studying rare or hard-to-reach populations.

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