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ONLY THE SECOND PART: Continuing Exercise 1, find the Wald, Agresti-Coull, Wilson, and Clopper-Pearson intervals using the given data. Interpret the intervals in the context

ONLY THE SECOND PART: Continuing Exercise 1, find the Wald, Agresti-Coull, Wilson, and Clopper-Pearson intervals using the given data. Interpret the intervals in the context of the experiments.

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Continuing Exercise 1, find the Wald, Agresti-Coull, Wilson, and Clopper-Pearson intervals using the given data. Interpret the intervals in the context of the experiments.There are many simple experiments that can be performed to estimate 7r for a partic- ular problem, and we encourage you to perform your own. The parts below discuss some experiments that we or our students have performed in the past. For each part, discuss conditions that are needed in order to satisfy the ve assumptions for using the binomial distribution outlined in Section 1.1.1. (80 One of the rst solid foods that infants can feed to themselves is the cereal Cheerios. Early on, infants often lack the dexterity in their ngers to pick up an individual Cheerio and put it into their mouth. In order to estimate the probability of success for one infant, an experiment was designed where a Cheerio would be set on an infant's food tray for 20 successive trials at the dinner table. If the Cheerio made it into the infant's mouth, the response for the trial was considered a success; otherwise, the response was considered a failure. Out of these 20 trials, there were 9 Cheerios that made it into the infant's mouth. In most billiards games, the person who breaks a rack of balls gets another turn if at least one ball is sunk, excluding the cue ball. This is advantageous for this person because there are a xed number of balls that need to be sunk in order to win a game. In order to estimate one person's probability of success of sinking a ball on the break, there were 25 consecutive breaks performed in 8-ball billiards. Out of these 25, 15 breaks had a ball sunk

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