I need help on these questions. The table is attached.    Use Table B, starting at line 119, to choose the first 5 drivers in the sample. Drag the token representing the label of the driver selected to the appropriate column.     (b) One question asked was, “Recalling the last ten traffic lights you drove through, how many of them were red when you entered the intersections?” Of the 880 respondents, 171 admitted that at least one light had been red. A practical problem with this survey is that people may not give truthful answers.   What is the likely direction of the bias: do you think more or fewer than 171 of the 880 respondents really ran a red light?   A) Fewer than 171 of the 880 respondents really ran a red light. B) More than 171 of the 880 respondents really ran a red light.     Why would there be such a bias?   A) The test suffers from sample bias.   B) People may be concerned that they will get in trouble if they admit to running red lights.   C) Those agreeing to respond may be more likely to have more time available and thus are less likely to run red lights.   D) There is no bias in this survey.

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.