Sampling and sampling distribution

What is the purpose of sampling in statistics?

• To study the entire population

• To eliminate bias

• To reduce the sample size

• To make statistical inferences about the population

Which of the following is an example of a random sampling method?

• Quota sampling

• Convenience sampling

• Stratified sampling

• Snowball sampling

What is the margin of error in a sample?

• The maximum deviation between the sample mean and the population mean

• The maximum deviation between the sample size and the population size

• The maximum deviation between the sample proportion and the population proportion

• The maximum deviation between the sample standard deviation and the population standard deviation

What is the sampling distribution?

• The distribution of the population

• The distribution of the sample statistics

• The distribution of the sample

• The distribution of the sample mean

What is the difference between a sample and a population?

• A sample is a subset of the population, while the population is the entire group being studied

• A sample is a random selection of individuals, while the population is a non-random group

• A sample is a smaller group than the population, while the population is a larger group

• A sample is a group that is more representative than the population

What is the sampling frame?

• The list of individuals who have been selected for the sample

• The list of individuals who are eligible to be in the sample

• The list of individuals who have responded to the survey

• The list of individuals who were invited to participate in the study

What is the purpose of the central limit theorem?

• To ensure that the sample is representative of the population

• To calculate the margin of error

• To ensure that the sample is unbiased

• To describe the properties of the sampling distribution of the sample mean

What are Acceptance Intervals in statistical quality control?

• The range of values within which the population parameter is expected to lie

• The range of values within which a sample statistic is expected to lie

• The range of values within which a process parameter is expected to lie

• The range of values within which a sample mean is expected to lie

Which of the following is a disadvantage of using Acceptance Intervals?

• They require a large sample size

• They only work for continuous data

• They assume normality of the data

• They are only applicable to the population mean

Which of the following is the formula for the standard error of the sample proportion?

• σ/√n

• (p(1-p))/n

• σ/√(n-1)

• (p(1-p))/(n-1)