By Arieh Iserles
Acta Numerica is an annual quantity providing noticeable survey articles in numerical research and clinical computing. the themes and authors are selected by means of a amazing overseas Editorial Board which will document crucial and well timed advancements within the topic in a fashion available to the broader neighborhood of execs with an curiosity in clinical computing.
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Extra info for Acta Numerica 1998
2 15 Random Samples LO O K I N G F O R WA R D Simple random samples are key components in methods of inferential statistics that we will study in Chapters 7–11. In fact, in order to draw conclusions about a population, the methods we will study require that we have simple random samples from the populations of interest. Another important use of random-number tables is in simulation. We use the word simulation to refer to the process of providing numerical imitations of “real” phenomena. Simulation methods have been productive in studying a diverse array of subjects such as nuclear reactors, cloud formation, cardiology (and medical science in general), highway design, production control, shipbuilding, airplane design, war games, economics, and electronics.
She wishes to place 20 such questions on the next test. To decide whether to place a true statement or a false statement in each of the 20 questions, she uses a random-number table. She selects 20 digits from the table. An even digit tells her to use a true statement. An odd digit tells her to use a false statement. Use a random-number table to pick a sequence of 20 digits, and describe the corresponding sequence of 20 true–false questions. What would the test key for your sequence look like? Copyright 2010 Cengage Learning.
1 P ROB LEM S 1. Statistical Literacy What is the difference between an individual and a variable? 2. Statistical Literacy Are data at the nominal level of measurement quantitative or qualitative? 3. Statistical Literacy What is the difference between a parameter and a statistic? 4. Statistical Literacy For a set population, does a parameter ever change? If there are three different samples of the same size from a set population, is it possible to get three different values for the same statistic?