Answer:
False. Selection bias cannot be avoided by making sure the sample size is large enough.
Selection bias refers to the systematic differences between the sample and the population from which it is drawn, which can lead to inaccurate conclusions. A large sample size does not guarantee that the sample is representative of the population, and a sample can still be biased even if it is large.
There are various types of selection bias, such as self-selection bias, which occurs when participants choose whether or not to participate in a study, and availability bias, which occurs when participants are only selected from a specific subgroup of the population. These types of bias cannot be avoided by increasing the sample size.
To avoid selection bias, researchers must make sure the sample is representative of the population by using appropriate sampling methods such as random sampling and stratified sampling. Additionally, the design of the study, the way the data is collected, and the way the data is analyzed must be done with great care to minimize bias.
Explanation: