companies and the probability of getting a job offer there. These data are tabulated below. The tabulation is in the decreasing order of cost. 1. If the graduate applies to all 10 companies‚ what is the probability that she will get at least one offer? 2. If she can apply to only one company‚ base on cost and success probability criteria alone‚ should she apply to company 5? Why or why not? 3. If she applies to companies 2‚5‚8‚ and 9‚ what is the total cost? What is the probability that she will
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positions are filled at random form the 11 finalists‚ what is the probability of selecting: A: 3 females and 2 males? B: 4 females and 1 male? C: 5 females? D: At least 4 females? Problem 2 By examining the past driving records of drivers in a certain city‚ an insurance company has determined the following (empirical) probabilities: [pic] If a driver in this city is selected at random‚ what is the probability that: A: He or she drives less than 10‚000 miles per year or has
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Sampling methods There are 4 basic sampling methods we have learned do far: simple random sampling‚ stratified sampling‚ clusters and systematic sampling. When we do experiments we need to use the right sampling method in order to make the experiment useful and successful. First‚ simple random sampling; it gives a sample selected in a way that gives every different sample of size n an equal chance of being selected. Second‚ stratified sampling; it divides a population into subgroups and then takes
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securities suit‚ they should only have to show that plaintiffs’claims of Scienter are untrue. 4. HealthSouth concealed the fraud by keeping the fraudulent transactions below $5‚000. What recommendation would you have to Ernst & Young to improve its sampling practices?
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Probable Probability; Rolling Dice Statistics is based upon based upon common sense and logic‚ in a complex data. Probability is just one of the many topics in statistical mathematics. It is used in our daily life‚ all over the world. Even games‚ require taking a chance and using probability to determine the predicted outcomes. Probability is the measure of how often a particular event will happen if something is done repeatedly‚ (596 Webster’s Dictionary). You cannot determine
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Probability Theory and Game of Chance Jingjing Xu April 24‚ 2012 I. INTRODUCTION Probability theory is the mathematical foundation of statistics‚ and it can be applied to many areas requiring large data analysis. Curiously‚ that the study on probability theory has its root in parlor games and gambling. In 17th century‚ dice gambling was a very common entertainment among the upper class. An
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(Mt. Hood Furniture—PPS sampling problem) You have been assigned the task of testing the accuracy of the final inventory compilation for Mt. Hood Furniture. You may assume that you have separately observed the inventory and that you are satisfied that the inventory was accurately counted. However‚ you need to test that quantities were accurately transcribed to the final accumulation and valuation of inventory and that the inventory is correctly priced and accumulated. The table beginning on
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process with the four (4) colleges of the school. Table 1 Distribution of Respondents Instrument This study used the research-made questionnaire to gather data that could provide the needed information. Procedure Gathering Data Random sampling method was used in gathering the data. Students belong to the day and night programs were also considered to determine the appropriate sample size and a 5% margin of error was used. The sample was drawn
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PROBABILITY AND STATISTICS Lab‚ Seminar‚ Lecture 4. Behavior of the sample average X-bar The topic of 4th seminar&lab is the average of the population that has a certain characteristic. This average is the population parameter of interest‚ denoted by the greek letter mu. We estimate this parameter with the statistic x-bar‚ the average in the sample. Probability and statistics - Karol Flisikowski X-bar Definition 1 x xi n i 1 Probability and statistics - Karol Flisikowski
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Chapter 6 Continuous Probability Distributions Case Problem: Specialty Toys 1. Information provided by the forecaster At x = 30‚000‚ [pic] [pic] Normal distribution [pic] [pic] 2. @ 15‚000 [pic] P(stockout) = 1 - .1635 = .8365 @ 18‚000 [pic] P(stockout) = 1 - .3483 = .6517 @ 24‚000 [pic] P(stockout) = 1 - .7823 = .2177 @ 28‚000 [pic]
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