Booktalking Essay Example | Topics and Well Written Essays - 2250 words

Booktalking - Essay Example This is like a trailer of a movie-the good snippets to get their attention Type B : The Discussion: This kind of booktalk generally begins by the booktalker asking a few questions of The questions generally summon them to step into the character's shoes and draws out answer in the form of yes or no from them. From here on he moves to discuss an interesting scene or plot from the book intermittingly asking the questions to build up the audience's interest. Type C: First person: This requires acting skill on the part of booktalker as he becomes one of the characters from the book. No reading from the book .He becomes an actor and plays the character himself Its human nature not to be satisfied with what one has. Some of us wish for longer hair, the ones with long hair would like to have straight hair, people with straight hair would ask for curls .the wishes are endless. But imagine if your wishes are granted and you get a chance to change your looks. Yes, the character of our first book, Tally, is a teenager who definitely is getting such an opportunity .She basically lives in this town called Uglyville, where all the "Uglies" live .Now this town is a strange one. Strange in the sense that when some inhabitants of this town turn sixteen he or she undergoes an operation that changes the physical attributes of him or her completely. Pre operation they are Ugly (as all the inhabitants of this town are) and post operation they are pretty and are transported to another town, which has all pretty people and where fun never ends. Now Tally has still two months to wait before she gets a make over. But she cannot wait .she plans to spy on the newly turned pretties. She sneaks into their town and meets Shay. Now Shay is also ugly, but he is smart, adventurous and full of life .He shares his birthday with Tally and is lined up to turn pretty on the same date as her. They hit off very well. He talks to tally about a town where they can live as they are. No operations, no makeovers for the uglies of that town. Shay has now become very close friend of Tally, but she is now torn between two choices,.first one to turn pretty and .second to be with shay who doesn't want to turn pretty. So what would you do had you been in her shoes Turn pretty or be with Shay and be happy with your status quo. What if you opt for choose one but to reap its dividend you have to betray your best friend. What would you do TRANSITION: A tough decision indeed lets read the book to find out what Tally does .Did she betray Shay Did she turn pretty Meanwhile lets move on to the next book in which we have another girl Ursula Riggs who is rendered emotionless because of being Ugly. This is a first person booktalk and for next five to ten minutes I am Ursula Riggs of BIG MOUTH & UGLY GIRL I am Ursula Riggs and "Since that day I woke up and knew I wasn't an ugly girl, I was Ugly Girl" so you can chose to call me an "Ugly Girl" .I am a loner and have fierce eyes. People often find me as staring directly into their eyes .I don't know whether I do it consciously or it's just an illusion. Whatever be the case I am least bothered. . I am a student of high school and unlike other children of my age I have no time for dating, friends and other petty things .I would rather play basketball and mind my own

Correlation Discussion Essay Example | Topics and Well Written Essays - 250 words

Correlation Discussion - Essay Example 2. Pearson’s Product Moment Correlation Coefficient: This is considered the strongest measure of correlation; and is sensitive to even small variations in data. It is also a base for predictive analysis. The biggest problem with this method is that it requires data that is either on an equal interval or ratio scale; and cannot be used with data on simpler scales. 3. Rank Order Correlation Coefficient: This method is computed with data on an ordinal scale; and with a reasonably large sample size the results are quite robust. While the technique is quite robust, it can get extremely cumbersome as the size of the data set increases. 4. Biserial Correlation Coefficient: If the data sets belong to two variables that are inherently continuous, but the data available on one has been reduced to two discrete categories; one needs to compute a Biserial correlation coefficient. This technique is not as robust; and should not be substituted for a stronger one. 5. Point – Biserial C orrelation Coefficient: If a continuous variable needs to be correlated with a discrete dichotomous one; a Point – Biserial Correlation coefficient is computed. This technique is simple and important in fields of study where such occurrences are commonplace; but it is otherwise not too robust. 6.