Paul Revere Biography

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Paul Revere was born in Boston’s North End, in December 1734. His dad name was Apollos Rivoire and his mom’s name was Deborah Hitchborn. His father was a silversmith who came to America as an escapee from religious imprisonment in France. He went the North Writing School when he was 7 and 13 because his dad planned on him to keep the tradition of silversmith trade going. For most lower and middle class children, education started from Dame schools where children studied until eight years old. In school the focus was more on discipline and religion than on education. Revere Sr. wanted his son to follow his steps, but to become a silversmith and to run the store Paul had to learn reading, writing, and math. So he was enrolled into the North Writing School, which was the biggest and the best public school in Boston. To be accepted a student had to know basic reading skills and agree to pay a part of the heating bill. The salaries of principal and teacher were paid by the govt. This let kids like Paul Revere have an opportunity to get a high quality education to succeed in the professions. By thirteen years old, Paul had graduated from the North Writing and started showing interest on learning his father's career; who taught him the secrets of his craft. Paul was becoming a master silversmith in no time. In 1754 when Paul was nineteen, his father died and he took over the family business. To help his family Paul had to be smart, he put his knowledge in to making surgical instruments, engraved printing copper plates, sold glasses and replacing missing teeth.
In 1757 he married Sarah Orne, and he had eight children. When she died, Revere married Rachel Walker, who he had another eight children with. Revere, who enlarged his wealth by b...

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...will fall within the first standard deviation, 95% within the first two standard deviations, and 99.7% will fall within the first three standard deviations of the mean. The Empirical Rule is used in statistics for showing final outcomes. After a standard deviation is found, and before exact data can be collected, this rule can be used as an estimate to the outcome of the new data. This probability can be used for gathering data that may be time consuming, or even impossible to found. When the mean equals the median and the values cluster around the mean and median, producing a bell-shaped distribution, then we can use the empirical rule to examine the variability. In this bell-shaped data set, we can calculate the mean and the standard deviation. The mean means the average value of the set of data. The standard deviation means the average scatter around the mean.

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