Answer:
Utilizing random sampling
Step-by-step explanation:
Sampling bias results from research personal interference with sampling procedure by allowing his own judgment in the selection of units into the sample. In order to overcome this problem, we must give every unit in the sample frame an equal probability of being selected into the sample without prejudice or bias.
Taking a judgment sample will introduce a sampling bias because the research will select a unit based on some perceived characteristics. This procedure is relevant is some study but it is not a probability random process.
Multiple choice and computer tabulate are not a sampling procedure. They are embedded within the final process or survey tool design. For instance, we can create a multiple-choice question in a questionnaire to investigate a response about a topic. For instance, in a shoppers survey, we can ask them to select varieties of goods they will love to purchase for Christmas. The computer can help us tabulate the response received from the survey in a frequency distribution table and even form a chart.
