Open with * 2. 4 Bias in Surveys The results of a survey can be accurate only if the sample is representative of the population and the measurements are objective. The methods used for choosing the sample and collecting the data must be free from bias. Statistical bias is any factor that favours certain outcomes or responses and hence systematically skews the survey results. Such bias is often unintentional. A researcher may inadvertently use an unsuitable method or simply fail to recognize a factor that prevents a sample from being fully random. Regrettably, some people deliberately bias surveys in order to get the results they want. For this reason, it is important to understand not only how to use statistics, but also how to recognize the misuse of statistics. yes? hello. i'm well, i do you agree is this conducting a Suppose that objectivity i'll put that a trick poll. may i ask So... in polling is an question? down as "agrees you a few outmoded strongly". questions? concept that M makes no sense 10-20 in today's world? INVESTIGATE & INQUIRE: Bias in a Survey 1. What sampling technique is the pollster in this cartoon likely to be using? 2. What is wrong with his survey methods? How could he improve them? 3. Do you think the bias in this survey is intentional? Why or why not? 4. Will this bias seriously distort the results of the survey? Explain your reasoning. 5. What point is the cartoonist making about survey methods? 6. Sketch your own cartoon or short comic strip about data management. Sampling bias occurs when the sampling frame does not reflect the characteristics of the population. Biased samples can result from problems with either the sampling technique or the data-collection method. 2.4 Bias in Surveys . MHR 119 Page 119 / 664 +