Study Guide for the Second Test

Study Guide for the Second Test - table 8 Explain the...

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Study Guide for the Second Test – EDP 371 Spring 2012 Class Learning Objectives 1. Define a standardized score and its advantages. Indicates how many standard deviations an observation is above or below the mean. 2. Given the mean and standard deviation of a distribution of scores compute a z-score. 3. Given the mean and standard deviation of a distribution of scores and a z score from this distribution, change the z score to its original score. 4. Explain the standard normal distribution curve. Theoretical distribution that provides description of frequency of occurrence, symmetrical around mean, total area under curve is equal to 1.00, has positive and negative tails that are asymptotic. 5. Given the mean and standard deviation of a set of scores, be able to determine the probability of any score using the normal curve table. 6. Given a z score, determine its probability. 7. Locate the z scores forming the boundaries of any section of the normal curve. 8. Determine the probability of locating any score or segment of scores using the normal curve
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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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