numbers are shown below: a) What is the probability that alcohol played a role in an accident from among those on that Saturday night? b) What is the probability that one accident involved more than 1 vehicle and alcohol? c) What is the probability that one accident involved multiple cars or alcohol? Make sure to state the probability rule you are using to arrive at your answer. d) Given that a multi-car accident occurred‚ what is the probability that it involved alcohol? e) Are the
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order make better decision under uncertainty Strengths of decision tree analysis Decision tree analysis will show all the alternatives‚ probabilities‚ costs and the possible outcomes that are not even consider by the company. The company can add the possible scenario into decision tree diagram‚ through the diagram can calculate the expected values and a probability distribution in more complex situations and the attributes can be chosen in any desired order (Kirkwood‚ 2002). Weaknesses of decision
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functions of Statistics. Explain the applications of statistics. Ans:Branch of mathematics concerned with collection‚ classification‚ analysis‚ and interpretation of numerical facts‚ for drawing inferences on the basis of their quantifiable likelihood (probability). Statistics can interpret aggregates of data too large to be intelligible by ordinary observation because such data (unlike individual quantities) tend to behave in regular‚ predictable manner. Functions: i. Presents facts in. simple form: Statistics
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Q 61 a. The probability the selected employee is production worker is 0.57‚ which is found by 57/100 b. The probability the selected employee is either a production worker or supervisor is 0.97‚ found by (57/100) + (40/100). c. Yes‚ they are mutually exclusive because employee cannot be both. d. The probability the selected employee is neither a production worker nor a supervisor is 0.03‚ found by 1-0.97. Q 73 a. The crew can be selected if at least half must be men:
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4 | Probability 1 – Basics4.1 Probability basics4.2 Events 4.3 Some rules of probability | 4 | | Lesson 5 | Probability 2: Conditional4.5 Conditional probability4.7 Bayes’s rule4.8 Counting rules | 4 | | Lesson 6 | Discrete Random Variables5.1 Probability distribution5.2 Mean & standard deviation5.3 Binomial distribution5.4 Poisson distribution | 5 | Quiz | Lesson 7 | Nominal Distribution6.2 Standard normal curve6.3 Normally distributed variables6.4 Normal probability plots
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Six Sigma Quality at Flyrock Tires Executive Summary The process of creating tires at Flyrock Tires involves 20 different steps to take the rubber from bales to final curing. Given this complexity and the high production volume (the factory produces about 10‚000 tires per hour)‚ it takes only a small margin of error in each of these steps to begin to compound and result in a high defective rate. For both public safety and their reputation‚ Flyrock strives to minimize the number of defects. The
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Explain Non Probability sampling methods. Give one example of each. Non-probability sampling Non-probability sampling is that sampling procedure which does not afford any basis for estimating the probability that each item in the population has of being included in the sample. In this type of sampling‚ items for the sample are selected deliberately by the researcher; his choice concerning the items remains supreme. Non-Probability Sampling Methods: The common feature in non probability sampling
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[Type the company name] | FORWARD SOFTWARE | Settlement or Else? | | | INTRODUCTION Forward Software‚ Inc. is a software company potentially facing a copyright infringement lawsuit. The spreadsheet product Forward sells includes an optional menu navigation system identical to that of Focus Software‚ the original developer of the menu system. Forward’s spreadsheet product currently dominates the market. Focus Software is currently suing a smaller software company that has also
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each • 100% probability (certain) • Least common 6. What is decision-making under conditions of RISK? • Lack of certainty regarding outcomes of various alternatives‚ but an awareness of probabilities associated with their occurrence • Alternatives are known‚ but outcomes are in doubt • Probability between 0 &100% 7. What is decision-making under conditions of UNCERTAINTY? • Don’t know alternatives‚ outcomes‚ or the probability of the outcomes occurrence
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put tabulate the Binomial Distribution for various n given the values of p which are (0.1‚ 0.2‚ 0.3‚ 0.4‚ 0.5‚ 0.6‚ 0.7‚ 0.8 and 0.9). The binomial distribution is the discrete probability distribution of the number of successes in a sequence of n independent yes/no experiments‚ each of which yields success with probability p. This success/failure experiment is also called a Bernoulli experiment or Bernoulli trial. The binomial distribution is a Bernoulli distribution when n = 1. In many cases‚
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