KINE 2050 Lecture Notes - Lecture 11: Standard Score, N100, Normal Distribution
7 Mar 2016
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Document Summary
. assume you have a population that is 50 students. You are interested in knowing the average height. assume you want to sample of 10 students# of possible combinations of 10 students = 10,272,278,170. Height of students? (symbol mew) u = 168 cm. the difference between a population parameter and a sample statistic is known as sampling error. the larger the sample the smaller the sampling error! . sampling error does not imply that you made a mistake. you would like a larger sample rather than a small sample. to cope with sampling error, researchers estimate the amount of sampling error, and then are able to make accurate inferences about the population. (e. g. political elections) . this would produce an unbiased estimate as it could be higher or lower than u. (mew) . sampling could be repeated hundreds/thousands of times and would produce a frequency distribution called a sampling distribution of the mean. the standard deviation of this sampling distribution is known as the.
