Calculating the Probability of a Type II Error To properly interpret the results of a test of hypothesis requires that you be able to judge the pvalue of the test. However‚ to do so also requires that you have an understanding of the relationship between Type I and Type II errors. Here‚ we describe how the probability of a Type II error is computed. A Type II error occurs when a false null hypothesis is not rejected. For example‚ if a rejection region
Premium Type I and type II errors Statistical hypothesis testing Null hypothesis
the samples‚ the closer to the population parameter the statistics will be * probabilities * the number possible outcomes that you are interested in divided by the total number of possible outcomes associated with an event * null hypothesis significance testing (NHST) * the null hypothesis states that there is no effect in the population of interest * if the probability of obtaining the data is high‚ the null hypothesis is true * no effect
Premium Statistical hypothesis testing Regression analysis Type I and type II errors
arrive within 15 minutes of the scheduled time? Solution a. Since the flights are independent‚ the probability of 4 of them arriving within 15 of the scheduled time is: So‚ the probability of this event is 0.6561 b. The probability that none of the flights arrives within 15 minutes of the scheduled time is: So‚ the probability of this event is 0.0001 c. The probability that at least one of the flights didn’t arrive within 15 minutes of the scheduled time‚ is give
Premium Standard deviation Arithmetic mean Major League Baseball
Project Part 1 Task 1 Draft Risk Management Plan Ernest Martinez Jr. C. Flack IS3110 October 22‚ 2012 Purpose The Senior Management of the Defense Logistics Information Services (DLIS) has decided to update the previous risk management plan with a developing‚ new risk management plan. This new risk management plan will not only minimize the amount of risk for future endeavors‚ but will also be in compliance with regulations such as the Federal Information Security Management Act (FISMA)
Premium Risk management Management Project management
Manuscript ID: CO/2003/022870 Specialty Area: Cost & Schedule Audience: Researchers PROBABILITY OF PROJECT COMPLETION USING STOCHASTIC PROJECT SCHEDULING SIMULATION (SPSS) Dong-Eun Lee1 ABSTRACT This paper introduces a software‚ Stochastic Project Scheduling Simulation (SPSS)‚ developed to measure the probability to complete a project in a certain time specified by the user. To deliver a project by a completion date committed to in a contract‚ a number of activities need to be carried out. The time
Premium Project management Critical path method Random variable
............................. 8 3. Chebyshev’s Rule & The Empirical Rule................................................ 13 4. Introduction to Probability ....................................................................... 15 5. Unions‚ Intersections‚ and Complements ................................................ 23 6. Conditional Probability & Independent Events..................................... 28 7. Discrete Random Variables.......................................................
Premium Standard deviation Arithmetic mean Probability theory
variable may assume only integer values within a given interval. 3. An inspector correctly identifies defective products 90% of the time. For the next 10 products‚ the probability that he makes fewer than 2 incorrect inspections is 0.736. 4. A decision tree is a diagram consisting of circles decision nodes‚ square probability nodes‚ and branches. 5. Excel can only be used to simulate systems that can be represented by continuous random variables. 6. Starting conditions have no impact
Premium Random variable Probability theory Randomness
Miracles. Ithaca N.Y.: Cornell University Press. Mavrodes‚ George I. 1995. “Polytheism.” In The Rationality of Belief and the Plurality of Faith‚ Cornell University Press. ed. Thomas D. Senor. Ithaca N.Y.: Mavrodes‚ George I. 1998. “David Hume and the Probability of Miracles.” International Journal for Philosophy of Religion 43: 167–82. McKinnon‚ Alastair. 1967. “ ‘Miracle’ and ‘paradox.’ ” American Philosophical Quarterly 4: 308–14. Excerpt in Swinburne 1989‚ 49–52. Paley‚ William. 1794. Evidences of Christianity
Premium Jesus David Hume
and external partners is crucial to having a viable risk management process. Tasks will be evaluated and identified for the mitigation of risks; uncertainty of organizational environmental factors will be included in the evaluation of impact and probability‚ as appropriate. This will ensure that tracking of progress‚ or lack thereof‚ occurs and necessary resources are identified for corrective/mitigating actions planned. Purpose The purpose of the risk management plan is to develop a structured
Premium Project management Risk management Risk
62/2920 = 0.0212 patients /hr Service rate (μ) = 60/80.79 = 0.7426 /hr 2) Probabilities Probability of having Zero (0) patients arriving during night shift = (1- λμ) = (1- 0.02120.7426) = 0.9714 or 97.14% Probability of having one patient arriving during night shift = (1- λμ) ( λμ) = (1- 0.02120.7426) ( 0.02120.7426) = 0.02773 or 2.773% Probability of arriving two or more patients simultaneously during the night shift = 1-[P(0)+P(1)]
Premium Physician Hospital Surgery