Using Statistics to Deceive JuriesUsing statistics to deceive juries can have devastating consequences in a criminal trial. A jury's error in interpreting statistics can send an innocent person to prison or release a guilty person back into society. Juries must understand the context of the evidence and the correct statistical data before rendering a verdict. Drawing experiment and answers to questions. The experiment described in the video asked three questions: True or False.1. The average number of coin tosses until heads, tails, and tails is greater than the average number of tosses resulting in heads, tails, and tails. My answer was wrong and the correct answer is true.2. The average number of coin tosses resulting in heads, tails, and tails is the same as the average number of tosses until heads, tails, and tails. My answer was wrong and was right.3. The average number of coin tosses resulting in heads, tails and tails is less than the average number of tosses resulting in heads, tails and tails. My answer was true and fair. Surprised by the good answers. When answering the questions, I first approached the questions with probabilities in mind. I assumed the probability that each coin toss has a 50% chance of being heads or tails. I haven't taken into account the repeatability of heads, tails and tails so that the first question is true. "Once you have listed all the possible outcomes, then you can calculate the probabilities quite easily. Let's say you are going to toss three coins and you want to calculate the probability of getting a single head (and therefore two tails). The results possible are: TTT, TTH, THT, THH, HTT, HTH, HHT, HHH All these results are different, and they are all... middle of paper ... is guilty against the probability of his innocence which will send a. accused in prison. Conclusion Not all juries are easily fooled It takes strong expert testimony to convict a person on the likelihood that they committed a crime. that an event occurs will agree with this probability Juries will be presented with statistics and percentages They will have to decide what is correct and what is not in order to reach the correct verdict. J. (2007). Tossing coins - theory. Probability. Retrieved April 14, 2014 from http://gwydir.demon.co.uk/jo/probability/info.htmBrown, S. (February 3, 2013). Medical false positives and false negatives / MATH200 / Brown, TC3. Retrieved April 14, 2014 from http://www.tc3.edu/instruct/sbrown/stat/falsepos.htm