What is a key principle of sample surveys according to the text?
The Principle of Inertia suggests that survey results are more reliable when:
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What does the Principle of Optimization ensure in sample surveys?
Why is it not always possible to increase the sample size in surveys?
In the context of sampling, what is the term 'population' synonymous with?
Which of the following is NOT a type of non-sampling error?
What is the 'Population Mean' represented by in the formula μ = Σx/N?
According to the text, why might complete enumeration be preferred over sampling survey?
What is the primary advantage of sample surveys over complete enumeration?
What is the total number of possible samples without replacement for a population of size 5 and sample size 3?
How many possible samples of size 2 with replacement are there from a population of size 3?
What is the probability distribution of the sample mean for a size 2 sample from a population of 3 units using replacement?
For a population of 3 members with values 1, 5, and 3, what is the sample mean of all possible samples of size 2 with replacement?
What is the standard deviation of the sample mean for the population in the previous question using replacement?
In sample surveys, what is the definition of 'population'?
Which type of sampling involves selecting each unit based on a fixed probability?
Stratified sampling is best used when the population is:
What is the main advantage of systematic sampling over other methods?
Which type of sampling is referred to as 'non-probabilistic'?
What is the principle behind Bowley's allocation in stratified sampling?
In multi-stage sampling, how is the ultimate sampling unit selected?
Which type of sampling is most likely to be less accurate but more cost-effective?
In systematic sampling, if the population size N is not a multiple of the sample size n, how is the sample obtained?