Suppose that, when taking a random sample of three students' GPAS, you get a sample mean of 3.90. This sample mean is far higher than the college-wide (population) mean. Does this provide that your sample is biased? Explain. What else could have caused this high mean? Choose the correct answer below. O A. The sample may not be biased. The high mean might have occurred by chance, since the sample size is very small. O B. Nothing other than bias could have caused this small mean. O c. One or more of the students could have lied about their GPAS. O D. The sample may not be biased. The measurements may not have been precise.

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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.