According to the National Center for Education Statistics, 20% of students who recently earned bachelor’s degrees were business majors. Imagine taking an SRS of 300 students who recently earned bachelor’s degrees and calculating  = the proportion of students in the sample who majored in business. (a)  Identify the mean of the sampling distribution of ______. (Response area) Why can we find the mean? ____(Response area) (b)  Calculate and interpret the standard deviation of the sampling distribution of . ____ (Response area) Why can we find the standard deviation? _____(Response area) (c)  Describe the shape of the sampling distribution of .  Normal Justify your answer. ____(Response area) choices: 60 students 0.20 students 0.0231 students 48 students 6.93 students We can always find this The sample size is large np and n(1 - p) are both at least 10 The 10% condition is met Skewed Normal Normal or Approximately Normal Approximately Normal

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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.