Bad and Good Sampling Quiz

What is bad sampling?

• Random selection of participants

• Accurate measurement of the entire population

• Inaccurate representation of the population

• Perfect representation of the population

Answer explanation

Bad sampling refers to the inaccurate representation of the population. It occurs when the sample chosen does not accurately reflect the characteristics of the entire population.

What are the consequences of bad sampling?

• Biased results, inaccurate conclusions, and unreliable data

• Decreased accuracy, reliable conclusions, and biased data

• No impact on the results, accurate conclusions, and reliable data

• Increased accuracy, reliable data, and unbiased results

Answer explanation

Bad sampling leads to biased results, inaccurate conclusions, and unreliable data. This choice highlights the consequences correctly.

Give an example of bad sampling in real life.

• Choosing only wealthy individuals for a survey on poverty

• Political polls

• Surveying only people who attend a particular event to represent the entire population

• Conducting a study on coffee drinkers by only asking people at a coffee shop

Answer explanation

Bad sampling can occur when conducting a study on coffee drinkers by only asking people at a coffee shop, which may not represent the entire population.

How can bad sampling affect the results of a study?

• By improving the accuracy of the results

• By leading to biased results and inaccurate conclusions.

• By increasing the reliability of the conclusions

• By reducing the impact of outliers

Answer explanation

Bad sampling can lead to biased results and inaccurate conclusions, affecting the study's reliability.

What are some common mistakes made in bad sampling?

• Sampling without any criteria, using a sample size that is too small, and using a representative sample

• Random sampling, large sample size, unbiased sampling, and using a representative sample

• Non-random sampling, small sample size, biased sampling, and using an unrepresentative sample

• Sampling only from one specific group, using a sample size that is too big, and using a representative sample

Answer explanation

Common mistakes in bad sampling include non-random sampling, small sample size, biased sampling, and using an unrepresentative sample. These errors can lead to inaccurate results.

What is good sampling?

• Selecting a representative group from a larger population for research or analysis

• Picking a group based on personal bias

• Selecting only the most easily accessible group

• Choosing random individuals without any criteria

Answer explanation

Good sampling involves selecting a representative group from a larger population for research or analysis. This ensures accurate and reliable results.

Why is good sampling important in research?

• To ensure that the sample is biased and does not accurately represent the population

• To ensure that the sample accurately represents the population and leads to reliable results.

• To save time and effort by not having to collect a large sample

• To intentionally misrepresent the population and lead to unreliable results

Answer explanation

Good sampling is important to ensure that the sample accurately represents the population and leads to reliable results.

What are the characteristics of good sampling?

• Representative, random, sufficient sample size

• Biased, predetermined, small sample size

• Voluntary, selective, limited sample size

• Convenient, non-representative, inadequate sample size

Answer explanation

Good sampling characteristics include being representative, random, and having a sufficient sample size. This ensures accurate and reliable results.

Give an example of good sampling in a research study.

• Using simple random sampling to select participants from the population.

• Choosing participants based on availability and willingness to participate.

• Using convenience sampling to select participants from the population.

• Selecting only participants who are easily accessible for the study.

Answer explanation

Good sampling in a research study involves using simple random sampling to select participants from the population.

What are some techniques for ensuring good sampling in a study?

• Sampling only from a small geographical area

• Using random sampling, stratified sampling, cluster sampling, and systematic sampling

• Selecting only participants from one specific demographic

• Using biased sampling

Answer explanation

Good sampling techniques include random sampling, stratified sampling, cluster sampling, and systematic sampling. These methods help ensure representative and unbiased data collection.