Probability Concepts 1. Fundamental Concepts of Probability 2. Mutually Exclusive and Collectively Exhaustive 3. Statistically Independent and Dependent Events 4. Bayes’Theorem Learning Objectives • Understand the basic foundations of probability analysis • Learn the probability rules for conditional probability and joint probability • Use Bayes’ theorem to establish posterior probabilities Reference: Text Chapter 2 Introduction • Life is uncertain; we are note sure what the
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Define Statistics Statistics is the practice of gathering‚ sorting‚ and categorizing numerical information in an organized format that can be used to acquire results to specific problems. According to McClave‚ Benson‚ and Sincich (2011)‚ “Statistics is the science of data. It involves collecting‚ classifying‚ summarizing‚ organizing‚ analyzing‚ and interpreting numerical information” (p. 3). Different Types and Levels of Statistics There are two types of statistics. One is descriptive which defines
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Chapter 3 Probability True/False 1. A contingency table is a tabular summary of probabilities concerning two sets of complementary events. Answer: True Difficulty: Medium 2. An event is a collection of sample space outcomes. Answer: True Difficulty: Easy 3. Two events are independent if the probability of one event is influenced by whether or not the other event occurs. Answer: False Difficulty: Medium 4. Mutually exclusive events have a nonempty
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Homework #4 - SQL Use the following (denormalized) database schema (and the attached tables) to write the queries. Publishers (custid‚ name‚ city‚ phone‚ creditcode) Bookjobs (jobid‚ custid‚ jobdate‚ descr‚ jobtype) POS (jobid‚ poid‚ podate‚ vendorid) Items (itemid‚ descr‚ onhand‚ price) Po_Items (jobid‚ poid‚ itemid‚ quantity) For each question‚ turn in the Oracle SQL query and the output. You should feel free to do these by hand (paper and pencil)‚ or you may actually run them
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Developmental 561 DUE: March 31st‚ 2011 Questions for DEV BIOL 561: These questions will serve as your attendance for today and as your March problem set. Use your notes and books to answer the questions below. You are not to work in groups! 1. Explain the Tetralogy of Fallot and its major defects. Also explain how each defect may cause abnormal heart functions. A congenital malformation of the heart characterized by a defect in the ventricular septum‚ misplacement of the origin of the
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[pic] TITILE : THEORY OF PROBABILITY NAME : KYRIOS JOYCE ERDAYA RAJOO IC NO : 930603-10-5700 CLASS : 5 MULIA TEACHER : MRS.MALLIKA a) History of Probability The scientific study of probability is a modern development. Gambling shows that there has been an interest in quantifying the ideas of probability for millennia‚ but exact mathematical
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DEVIATION = 68K A.Z1 (@ x as 92.8K) = (92.8 – 164)/68 = -1.04Z2 (@ x as 255.5K) = (255.5 – 164)/68 = 1.34P(Z1 < Z < Z2) = 0.9099 – 0.1492 = 0.7607Percentage probability is 76.07‚ which seems to be more than the actual value‚ basis what can be seen via boxplot. | B.Z1 (@ x as 232K) = (232 – 164)/68 = 1P( Z < Z1) = 0.8413Percentage probability is 84.13‚ which is consistent with what can be seen via data
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classical and empirical probabilities. a. Classical probabilities are based on assumptions; Empirical probabilities are based on observations. b. Classical probabilities do not require an action to take place; Empirical probabilities have to have been “performed”. 2) Gather 16 to 30 coins. Shake and empty bag of coins 10 times and tally up how many head and tails are showing. Number of coins: 20 * Consider the first toss‚ what is the observed probability of tossing a head? Of
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probability questions : 1. A real estate office has been averaging 1.8 sales per day for the past several months. What is the probability that the office will make 4 sales today? .0723 2. A washing machine in a Laundromat breaks down an average of two times per month. What is the probability that the machine will break down more than 28 times in the next year? .1775 3. Flaws occur randomly in a particular fabric with a mean rate of occurance of 1.5 every 5 sqare yards. If you purchase 20 square
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Introduction: The purpose of this lab is to apply Mendel’s laws to predict the probability of the occurrence of a single event‚ of two independent events and of certain traits in offspring of parents exhibiting traits. Gregor Mendel was an Austrian monk in 1866‚ who studied how traits were passed using pea plants. From his studies of inheritance‚ he created three laws of inheritance: the law of dominance‚ the law of segregation‚ and the law of independent assortment. He called genes ‘’factors’’
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