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Unformatted text preview: table. 8. Explain the concept of a sampling distribution. A hypothetical representation of all possible values of a statistic with the probability of each possible value if no independent variable is acting 9. Explain how sampling distributions are used in inferential statistics. Sampling distributions such as random sampling is necessary so that one can infer that the sample is representative of the whole population, and thus population characteristics can be inferred from the sample. 10. Conduct hypothesis tests for the single sample z test, single sample t test, paired sample t test, and independent samples t test. 11. Explain Type I and Type II errors. Type I error that occurs when you reject the null hypothesis Type II error that occurs when you fail to reject the null hypothesis when it is actually false. 12. Given research problems, choose the correct statistical test to solve the problem....
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This note was uploaded on 03/29/2012 for the course BIO 359K taught by Professor Mcclelland during the Spring '08 term at University of Texas at Austin.
 Spring '08
 MCCLELLAND

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