Data from a large national study reports that 10% of pregnant women deliver prematurely.  A local obstetrician is seeing 16 pregnant women in his next clinic session. What is the probability that none will deliver prematurely? What is the probability that fewer than 3 will deliver prematurely? What is the probability that none will deliver prematurely if in fact the true percentage who deliver prematurely is 5.5%? Interpret findings compared to part a. If the true percentage is 10% and this obstetrician has 146 pregnant women under his care, how many would be expected to deliver prematurely?

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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.