Sampling Techniques

Sampling techniques are the bedrock of scientific research, offering a methodical approach to select a subset of individuals or elements from a larger population. These methods serve as a crucial tool in various disciplines, facilitating the extraction of meaningful insights without the need to examine every element within the population. The art of sampling involves a strategic balance between representativeness and practicality, ensuring that the chosen subset accurately mirrors the characteristics of the entire population. As we delve into the realm of sampling techniques, we uncover the pivotal role they play in enhancing the efficiency and reliability of research endeavors across diverse fields.

Questions
  • What is the primary objective of sampling from a population?
  • Determine whether a census is practical in the situation described?
  • How can a researcher avoid a biased sample?
  • How does a census differ from a sample?
  • How do I take a simple random sample, using a TI-84?
  • How do random samples and stratified samples differ?
  • Is a stratified sample considered to be a simple random sample?
  • How can systematic sampling be biased?
  • The draft lottery of 1969 was biased. What was the error made by the draft lottery statisticians?
  • What are 5 sampling techniques, and what are the advantages and disadvantages of each?
  • What is the range for the following set of measurements?
  • What is the sample space for choosing a letter from the word mathematics?
  • Identify which type of sampling is used?
  • You pick a card from a shuffled pack and draw a king. You put it back in the pack, shuffle, and then pick another card. This time you draw a queen. How are the two events of picking a king and picking a queen related?
  • A bag contains 3 yellow tennis balls and 4 green tennis balls. Gordy will select one tennis ball, put it in his pocket, and then select a second tennis ball. What is the probability he will get two green tennis balls?
  • A card is selected at random from a normal pack of cards. The cards are replaced each time. What is the expected number of times you would select a king from 260 trials?
  • How can convenience samples be biased?
  • What are the reasons why we draw samples in research?
  • In what way are voluntary response samples often biased?