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# Business Statistics

Statistics

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## Quiz 7 : Sampling and Sampling Distributions

Saving time and money are reasons to take a sample rather than do a census.
Free
True False
Answer:

Answer:

True

A major limitation of nonrandom samples is that they are not appropriate for most statistical methods.
Free
True False
Answer:

Answer:

True

The directory or map from which a sample is taken is called the census.
Free
True False
Answer:

Answer:

False

If a researcher wants to study all students in their university and includes only those students in the researcher's class, then the researcher is conducting convenience sampling.
True False
Answer:
If every unit of the population has the same probability of being selected for the sample, then the researcher is probably conducting random sampling.
True False
Answer:
The mean of the sample means is the same as the mean of the population
True False
Answer:
Systematic sampling is a type of random sampling technique.
True False
Answer:
With cluster sampling, there is homogeneity within a subgroup or stratum.
True False
Answer:
Sampling errors cannot by determined objectively for nonrandom sampling techniques.
True False
Answer:
The standard deviation of a sampling distribution of the sample means is commonly called the standard error of the mean.
True False
Answer:
A population list, map, directory, or other source used to represent the population and from which a sample is taken, is called a frame.
True False
Answer:
The central limit theorem states that if the sample size, n, is large enough (n ≥20), the distribution of the sample means is normally distributed regardless of the shape of the population.
True False
Answer:
A nonrandom sampling technique that is similar to stratified random sampling is called quota sampling.
True False
Answer:
The two major categories of sampling methods are proportionate and disproportionate sampling.
True False
Answer:
In some situations, sampling may be the only option because the population is inaccessible.
True False
Answer:
A sampling distribution is the distribution of a sample statistic such as the sample mean or sample proportion.
True False
Answer:
If a researcher selects every kth item from a population of N items, then she is likely conducting a systematic random sampling.
True False
Answer:
In a random sampling technique, every unit of the population has a randomly varying chance or probability of being included in the sample.
True False
Answer:
Increasing the sample size causes the numerical value of standard error of the sample means to increase.
True False
Answer:
Cluster (or area)sampling is a type of random sampling technique.
True False
Answer:
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