Write out the example of statistical reasoning that is given for each one and state the main problem with the reasoning itself. Evaluating statistics A. Arguments that rest on statistical evidence are all around us (from advertising to medicine to politics) thus being able to interpret and reason about statistics is important. B. This is especially true given that statements expressing averages and percentages are often ambigious and are often used in deceptive ways. II. Samples A. Samples are often used to draw statistical generalizations about entire groups and can be biased if they do not accurately represent a whole group. B. Such samples should be random--every member of the group should have an equal chance of being selected. Often samples that seem random have bias'. C. We should always consider the sampling error (the difference between how common something is in the sample v. the population as a whole) even when polls are random and a poll's confidence level (how certain we can be that a poll reflects the whole). D.After reaching a certain point a larger sample does not mean a lower margin of error and whether a sample is really representative can be influenced by psychological factors