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BMAL 590 Quantitative Research Techniques and Statistics

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Distribution What is Statistics? (section 1) • A sample of 500 athletes is taken from a population of 11,000 Olympic athletes to measure work ethic. As a result we . Can make consistent inference ... s each time work ethic is the outcome • When data is collected in a statistical study for only a portion or subset of all elements of interest we are using a . Sample Data Collecting and Sampling (section 2) • When a person receives an email questionnaire and places it in their deleted items without responding, they are contributing to . Nonresponse error • The difference between a sample mean and the population mean is called the . Sampling error Introduction to hypothesis Testing (Section 5) • A type I error occurs when we . Reject a true null hypothesis • In a criminal trial where the null hypothesis states that the defendant is innocent, a Type II error is made when . A guilty defendant is found not guilty • The p-value of the test is the . The largest a at which a null hypothesis cannot be rejected Probability (Section 3) • Initial estimates of the probabilities of events are known as . Prior Probabilities • If the outcome of event A is not affected by event B, then events A and B are said to be . Independent • The collection of all possible outcomes of an experiment is called . A sample space • Suppose P(A) = .35. The probability of the complement of A is . .65 Inference about a Population (Section 6) • An unbiased estimator is . A sample Statistic, which has an expected value equal [Show More]

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