Chapter 5: Inference for a single population Outline The Central
... you want a one-sided or two-sided alternative. If two-sided you are done. If one-sided then the only claim that makes sense as Ha is the one indicated by the data. The text describes methods based on rejection regions and critical values of test statistics. These are used when you can’t calculate pr ...
... you want a one-sided or two-sided alternative. If two-sided you are done. If one-sided then the only claim that makes sense as Ha is the one indicated by the data. The text describes methods based on rejection regions and critical values of test statistics. These are used when you can’t calculate pr ...
CURRICULUM SUMMARY * September to October 2008
... Writing a test. Feedback of the test. Chance investigation. Estimating probability from data. Using tables of outcomes; grids and tree diagrams to represent the sample space and calculate probability. Solving problems at class– individual or group work. Using Venn diagrams to calculate probability o ...
... Writing a test. Feedback of the test. Chance investigation. Estimating probability from data. Using tables of outcomes; grids and tree diagrams to represent the sample space and calculate probability. Solving problems at class– individual or group work. Using Venn diagrams to calculate probability o ...
The Assumptions of ANOVA - ROHAN Academic Computing
... – The residual mean square is the unbiased estimator of 2, the variance of a single observation – The between treatment mean squares takes into account not only the differences between observations, 2, just like the residual mean squares, but also the variance between treatments – If there was non ...
... – The residual mean square is the unbiased estimator of 2, the variance of a single observation – The between treatment mean squares takes into account not only the differences between observations, 2, just like the residual mean squares, but also the variance between treatments – If there was non ...
PPT Chapter 15 - McGraw Hill Higher Education
... events will happen • We also use the word ‘chance’ as a substitute for probability on some occasions • While we all use the word ‘probability’ in our language, there would be few people who could provide a formal definition of its meaning Examples – There is a 10% chance that it will rain – There is ...
... events will happen • We also use the word ‘chance’ as a substitute for probability on some occasions • While we all use the word ‘probability’ in our language, there would be few people who could provide a formal definition of its meaning Examples – There is a 10% chance that it will rain – There is ...
curriculum vitae - Universidad Adolfo Ibáñez
... 38. Riquelme, M., Leiva, V., Galea, M., Sanhueza, A. 2011. Influence diagnostics on the coefficient of variation of elliptically contoured distributions. Journal of Applied Statistics 38:513-532. 39. Sanhueza, A., Leiva, V., López-Kleine, L. 2011. On the Student-t mixture inverse Gaussian model and ...
... 38. Riquelme, M., Leiva, V., Galea, M., Sanhueza, A. 2011. Influence diagnostics on the coefficient of variation of elliptically contoured distributions. Journal of Applied Statistics 38:513-532. 39. Sanhueza, A., Leiva, V., López-Kleine, L. 2011. On the Student-t mixture inverse Gaussian model and ...
Standard scores, normal distribution
... If the above weren’t enough, the normal is the MOST IMPORTANT of distributions, the Mozart to all other distributions’ Salieris, because the distribution of virtually every sample statistic is normal for large enough sample size. To demonstrate . . . Pick a population, any population of scores. The ...
... If the above weren’t enough, the normal is the MOST IMPORTANT of distributions, the Mozart to all other distributions’ Salieris, because the distribution of virtually every sample statistic is normal for large enough sample size. To demonstrate . . . Pick a population, any population of scores. The ...
Normal Distribution Exercises
... a. less than -3, 0.0013 b. less than -2, , 0.0228 c. between -3 and -2, , 0.0214 d. less than -1, , 0.1587 e. between -2 and -1, , 0.1359 f. less than 0, , 0.5000 g. between -1 and 0, , 0.3413 h. between 0 and 1, , 0.3413 i. between 1 and 2, , 0.1359 j. between 2 and 3, , 0.0214 k. greater than 3. , ...
... a. less than -3, 0.0013 b. less than -2, , 0.0228 c. between -3 and -2, , 0.0214 d. less than -1, , 0.1587 e. between -2 and -1, , 0.1359 f. less than 0, , 0.5000 g. between -1 and 0, , 0.3413 h. between 0 and 1, , 0.3413 i. between 1 and 2, , 0.1359 j. between 2 and 3, , 0.0214 k. greater than 3. , ...