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    Questions on Probability

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    standard deck of cards drawing a second ace from a standard deck of cards‚ without replacing the first f) drawing an ace from a standard deck of cards drawing a second ace from a standard deck of cards‚ after replacing the first 2. What is the probability of drawing each of the following from a standard deck of cards‚ assuming that the first card is not replaced? a) an ace followed by a 2 b) two aces c) a black jack followed by a 3 d) a face card followed by a black 7 3. Repeat each part of

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    production of knowledge and of knowledgeable students • enhancement of understanding • promotion of moral thinking • feeling and action • enlargement of the imagination • fostering of growth‚ development‚ and self-realization Based on the AIMS concept we are building an online learning system for our employees: Ideally‚ the learning outcomes in order of priority are 

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    business decision making

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    Business Decision Making Students Name: Lecturers Name: Unit Title: Submission Date: Table with the risks and weigh of their relative importance against the rate of return that I foresee for my companyaswell as a plan of overcoming the risks Risk Importer Exporter L/M/S How to Overcome It Economic conditions Poor economic conditions will affect my imports. Poor economic conditions in other countries will affect my exports.   If the demand for my imports is down‚ I will conduct marketing

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    Probability Theory

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    Probability theory Probability: A numerical measure of the chance that an event will occur. Experiment: A process that generates well defined outcomes. Sample space: The set of all experimental outcomes. Sample point: An element of the sample space. A sample point represents an experimental outcome. Tree diagram: A graphical representation that helps in visualizing a multiple step experiment. Classical method: A method of assigning probabilities that is appropriate when all the experimental

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    Probability Lab

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    PROBABILITY and MENDELIAN GENETICS LAB Hypothesis: If we toss the coin(s) for many times‚ then we will have more chances to reach the prediction that we expect based on the principle of probability. Results: As for part 1: probability of the occurrence of a single event‚ the deviation of heads and tails of 20 tosses is zero‚ which means that the possibility of heads and tails is ten to ten‚ which means equally chances. The deviation of heads and tails of 30 tosses is 4‚ which means that the

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    Probability Theory

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    P(S) The symbol for the probability of success P(F) The symbol for the probability of failure p The numerical probability of a success q The numerical probability of a failure P(S) = p and P(F) = 1 - p = q n The number of trials X The number of successes The probability of a success in a binomial experiment can be computed with the following formula. Binomial Probability Formula In a binomial experiment

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    Conditional Probability

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    Conditional Probability How to handle Dependent Events Life is full of random events! You need to get a "feel" for them to be a smart and successful person. Independent Events Events can be "Independent"‚ meaning each event is not affected by any other events. Example: Tossing a coin. Each toss of a coin is a perfect isolated thing. What it did in the past will not affect the current toss. The chance is simply 1-in-2‚ or 50%‚ just like ANY toss of the coin. So each toss is an Independent

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    Color and Probability

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    Date _________________________ Multiplication Rule of Probability - Independent Practice Worksheet Complete all the problems. 1. Holly is going to draw two cards from a standard deck without replacement. What is the probability that the first card is a king and the second card is an ace? 2. Thomas has a box with 4 black color bottles and 8 gray color bottles. Two bottles are drawn without replacement from the box. What is the probability that both of the bottles are gray? 3. A jar contains

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    Probability distribution

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    variable X is a weighted average of the possible values that the random variable can take. Unlike the sample mean of a group of observations‚ which gives each observation equal weight‚ the mean of a random variable weights each outcome xi according to its probability‚ pi. The mean also of a random variable provides the long-run average of the variable‚ or the expected average outcome over many observations.The common symbol for the mean (also known as the expected value of X) is ‚ formally defined by Variance

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    Words of Probability

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    2010 Words of Probability ISHIGURO‚ Makio(The Institute of Statistical Mathematics) Words of Probability ISHIGURO‚ Makio(The Institute of Statistical Mathematics) Key Words: subjective probability‚ confidence‚ belief‚ frequency‚ verbal expression Abstract There are everyday expressions such that ’probably’; ’might be’;’could be’ etc.‚ to describe the strengths of one’s confidence in the occurrence of events in the future. On the other hand there are probability theory expressions

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