A view on substitute teachers.

Preface Dedication 1 Where's Madame? 2 Yippee- a Sub 3. Getting the Call 4. Sink the Sub 5. What was your name again? 6. The most creative minds on the planet 7. I forgot to tell you 8. Embarrassingly human 9. Revelations 10. More burdens that it is fair to bear 11. Technically a challenge 12. Back-up in a crisis 13. The Detective in Me 14. Where Education Shines 15. Is this the way I want to serve the world? 16. I am Way Old 17. Mistakes, I've made a few 18. Feedback from the Peanut Gallery 19. Humor on a Blah Day 20. Privilege 21. Familiar Face 22. Food is a Bonding Experience 23. Pretty thick molasses and hard to get through 24. Reassurances 25. Surprise in the Exam room - Compassio 26. Why some people hate school, understandably 27. The Second Mile- hey, may as well 28. What Still Needs Perfecting 29. What's Right in the schools 30. The Randomness of it all - 1 31. The Randomness of it all - 2...

This volume is a collection of six papers on the use of auxiliary information and a priori values in construction of improved estimators. The work included here will be of immense application for researchers and students who employ auxiliary information in any form....

Introduction In survey sampling, the use of auxiliary information can increase the precision of an estimator when study variable y is highly correlated with the auxiliary variable x. but in several practical situations, instead of existence of auxiliary variables there exists some auxiliary attributes, which are highly correlated with study variable y, such as (i) Amount of milk produced and a particular breed of cow. (ii) Yield of wheat crop and a particular variety of wheat etc. (see Shabbir and Gupta (2006)). In such situations, taking the advantage of point biserial correlation between the study variable and the auxiliary attribute, the estimators of parameters of interest can be constructed by using prior knowledge of the parameters of auxiliary attribute....

Preface...............................................4 1.Ratio Estimators in Simple Random Sampling Using Information on Auxiliary Attribute...............................................7 2.Ratio-Product Type Exponential Estimator for Estimating Finite Population Mean Using Information on Auxiliary Attribute......................18 3.Improvement in Estimating the Population Mean Using Exponential Estimator in Simple Random Sampling....................................33 4.Almost Unbiased Exponential Estimator for the Finite Population Mean......................41 5.Almost Unbiased Ratio and Product Type Estimator of Finite Population Variance Using the Knowledge of Kurtosis of an Auxiliary Variable in Sample Surveys....................................54 6.A General Family of Estimators for Estimating Population Variance Using Known Value of Some Population Parameter(s).....................62-73...