Business Statistics Quiz

What is stratified random sampling?

• Dividing the population into groups and sampling from each

• Selecting entire clusters from the population

• Randomly selecting individuals without grouping

• Sampling based on convenience

What is cluster sampling?

• Sampling from every individual in selected groups

• Sampling from a single group only

• Dividing the population into strata

• Selecting samples based on convenience

What does the term 'bias' refer to in sampling?

• The error in calculating sample means

• The random selection of samples

• The systematic over- or underestimation of a population parameter

• The tendency of a sample statistic to accurately reflect the population

What is the main disadvantage of cluster sampling?

• It guarantees representation of all groups

• It is difficult to implement

• It may lead to less precision than other sampling methods

• It is more expensive than other methods

What is the main advantage of stratified sampling?

• It eliminates all biases

• It is easier to implement than other methods

• It guarantees representation of each subgroup in the population

• It reduces costs significantly

What is the significance of using purposive sampling?

• It is the most cost-effective method

• It guarantees representation of all groups

• It is based on specific criteria for selection

• It allows for random selection of samples

What is quota sampling?

• A method that selects samples based on convenience

• A method that guarantees representation of all groups

• A method that eliminates all biases

• A method that uses random selection

What is snowball sampling?

• A method that eliminates all biases

• A method that uses random selection

• A method that guarantees representation of all groups

• A method where one participant leads to another