Discrete probability distribution

hazard analysis is comprised of source modeling, wave attenuation, and local ground amplification. Deterministic Probabilistic Probabilistic assessment of seismic hazard involves determining either the probability of exceeding a specified ground motion, or the ground motion that has a specified probability of being exceeded over a particular time period. Elements/Exposure at Risk Vulnerability assessment should be done for a building that represents a building stock. This requires a standard systematic

Elementary Statistics iLab Week 6 Statistical Concepts: * Data Simulation * Discrete Probability Distribution * Confidence Intervals Calculations for a set of variables Mean Median 3.2 3.5 4.5 5.0 3.7 4.0 3.7 3.0 3.1 3.5 3.6 3.5 3.1 3.0 3.6 3.0 3.8 4.0 2.6 2.0 4.3 4.0 3.5 3.5 3.3 3.5 4.1 4.5 4.2 5.0 2.9 2.5 3.5 4.0 3.7 3.5 3.5 3.0 3.3 4.0 Calculating Descriptive Statistics Descriptive Statistics: Mean, Median Variable N N* Mean SE Mean StDev

still be accepted based on the Boltzmann probability factor [103-104]: 2.21 where is the Boltzmann constant and denotes the current temperature. By examining this relation, we should note two things: the probability is proportional to temperature, as the solid cools, the probability gets smaller; and inversely proportional to , as the change in energy is larger the probability of accepting the changes gets smaller

b) When would you use an exponential distribution? ________________________ Answer: the exponential distribution is used to model data with a continual failure rate. Also, it could be used to when questions needed to be answered, such as how much time will elapse before the earthquake occurs in a given region. How long do we need to wait before a customer enters a shop, and so on and so forth? (Wikipedia, n.d.) c) What is a binomial distribution (include an APA citation)?_______________________

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What is the probability that it takes at least two sessions to gain the patient’s trust? Answer: The probability that is takes at least two sessions to gain the patient’s trust is 0.83, because Probability x≥2=f2+f3=26+36=0.8333=0.83 Chapter 5 – Section 3. Question 17 a. Let x be a random variable indicating the number of times a student takes the SAT. Show the probability distribution for this random variable. Answer: The probability distribution: Number of Times (x) | Number

A coin is tossed four times. The probability is ¼ or 0.25 that all four tosses will result in a head face up. Answer Correct Answer: False A firm offers routine physical examinations as part of a health service program for its employees. The exams showed that 8% of the employees needed corrective shoes, 15% needed major dental work and 3% needed both corrective shoes and major dental work. What is the probability that an employee selected at random will need either corrective shoes

success/yes/true/one (with probabilityp) or failure/no/false/zero (with probability q = 1 − p). A single success/failure experiment is also called a Bernoulli trial or Bernoulli experiment and a sequence of outcomes is called a Bernoulli process; for a single trial, i.e., n = 1, the binomial distribution is a Bernoulli distribution. The binomial distribution is the basis for the popular binomial test of statistical significance. Binomial distributions are useful to model events that arise in a binomial experiment

EC/315 Midterm Examination Directions: This test is open-book and open notes and covers the content from weeks 1 through week 4 of EC/315. The test will be typed and submitted in the Dropbox marked Midterm Exam. The midterm is due the last day of Week 4. PROBLEM 1 (Weight 40 points). NBC TV news, in a segment on the price of gasoline, reported last evening that the mean price nationwide is $1.50 per gallon for self-serve regular unleaded. A random sample of 35 stations in the Milwaukee

controlled by the micro grid aggregator which is treated as a nonprofit agent. In these studies, the objective was either to minimize the operating costs of the entire micro grid or to maintain a balance between the demand and local generation. To the best of our knowledge, the variability and uncertainty impacts of excessive renewable energy generation on the unit commitment decisions and real-time dispatch of a micro grid with controllable DGs in the presence of ESS, demand response (DR) and interruption