Coping with Significant Figures by Patrick Duffy Last Revised: August 30, 1999
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Euler's Square Root Laws for Negative Numbers
Ursinus College Digital Commons @ Ursinus College Transforming Instruction in Undergraduate Complex Numbers Mathematics via Primary Historical Sources (TRIUMPHS) Winter 2020 Euler's Square Root Laws for Negative Numbers Dave Ruch Follow this and additional works at: https://digitalcommons.ursinus.edu/triumphs_complex Part of the Curriculum and Instruction Commons, Educational Methods Commons, Higher Education Commons, and the Science and Mathematics Education Commons Click here to let us know how access to this document benefits ou.y Euler’sSquare Root Laws for Negative Numbers David Ruch December 17, 2019 1 Introduction We learn in elementary algebra that the square root product law pa pb = pab (1) · is valid for any positive real numbers a, b. For example, p2 p3 = p6. An important question · for the study of complex variables is this: will this product law be valid when a and b are complex numbers? The great Leonard Euler discussed some aspects of this question in his 1770 book Elements of Algebra, which was written as a textbook [Euler, 1770]. However, some of his statements drew criticism [Martinez, 2007], as we shall see in the next section. 2 Euler’sIntroduction to Imaginary Numbers In the following passage with excerpts from Sections 139—148of Chapter XIII, entitled Of Impossible or Imaginary Quantities, Euler meant the quantity a to be a positive number. 1111111111111111111111111111111111111111 The squares of numbers, negative as well as positive, are always positive. ...To extract the root of a negative number, a great diffi culty arises; since there is no assignable number, the square of which would be a negative quantity. Suppose, for example, that we wished to extract the root of 4; we here require such as number as, when multiplied by itself, would produce 4; now, this number is neither +2 nor 2, because the square both of 2 and of 2 is +4, and not 4. -
Significant Figures Instructor: J.T., P 1
CSUS – CH 6A Significant Figures Instructor: J.T., P 1 In Scientific calculation, there are two types of numbers: Exact numbers (1 dozen eggs = 12 eggs), (100 cm = 1 meter)... Inexact numbers: Arise form measurements. All measured numbers have an associated Uncertainty. (Where: The uncertainties drive from the instruments, human errors ...) Important to know: When reporting a measurement, so that it does not appear to be more accurate than the equipment used to make the measurement allows. The number of significant figures in a measurement: The number of digits that are known with some degree of confidence plus the last digit which is an estimate or approximation. 2.53 0.01 g 3 significant figures Precision: Is the degree to which repeated measurements under same conditions show the same results. Significant Figures: Number of digits in a figure that express the precision of a measurement. Significant Figures - Rules Significant figures give the reader an idea of how well you could actually measure/report your data. 1) ALL non-zero numbers (1, 2, 3, 4, 5, 6, 7, 8, 9) are ALWAYS significant. 2) ALL zeroes between non-zero numbers are ALWAYS significant. 3) ALL zeroes which are SIMULTANEOUSLY to the right of the decimal point AND at the end of the number are ALWAYS significant. 4) ALL zeroes which are to the left of a written decimal point and are in a number >= 10 are ALWAYS significant. CSUS – CH 6A Significant Figures Instructor: J.T., P 2 Example: Number # Significant Figures Rule(s) 48,923 5 1 3.967 4 1 900.06 5 1,2,4 0.0004 (= 4 E-4) 1 1,4 8.1000 5 1,3 501.040 6 1,2,3,4 3,000,000 (= 3 E+6) 1 1 10.0 (= 1.00 E+1) 3 1,3,4 Remember: 4 0.0004 4 10 CSUS – CH 6A Significant Figures Instructor: J.T., P 3 ADDITION AND SUBTRACTION: Count the Number of Decimal Places to determine the number of significant figures. -
About Significant Figures
About Significant Figures TABLE OF CONTENTS About Significant Figures................................................................................................... 1 What are SIGNIFICANT FIGURES? ............................................................................ 1 Introduction......................................................................................................................... 1 Introduction..................................................................................................................... 1 Rules of Significant Figures................................................................................................ 1 Determining the Number of Significant Figures ............................................................ 1 Significant Figures and Scientific Notations .................................................................. 2 Significant Figures in Calculations..................................................................................... 2 Significant Figures in Calculations................................................................................. 2 Addition and Subtraction ............................................................................................ 2 Multiplication and Division ........................................................................................ 3 Combining Operations................................................................................................ 3 Logarithms and Anti-Logarithms .............................................................................. -
Study Guide Real Numbers
REAL NUMBERS What Are Real Numbers? Real numbers are the set of rational and irrational numbers. The set of rational numbers includes integers, whole numbers, and natural numbers. • A rational number is a number that can be made into a fraction. Decimals that repeat or terminate are rational because they can be changed into fractions. • An irrational number is a number that cannot be made into a fraction. Decimals that do not repeat or end are irrational numbers. • A square root of a number is a number that when multiplied by itself will result in the original number. The square root of 4 is 2 because 2 · 2 = 4. o A square root does not have to be a whole number or a rational number. The square root of 1.44 is 1.2 and the square root of 3 is 1.732050808…. o There are two solutions for a square root of a positive number, positive and negative. Square roots are used in mathematical operations.Sign The InequationsSign are solvedUp using inverse operations and when x² is found, the square root of a number is taken to find the answer. o The square of a number is a number multiplied by itself. Three squared, 3², is equal to 3 · 3, which is 9. © Copyright NewPath Learning. All Rights Reserved. Permission is granted for the purchaser to print copies for non-commercial educational purposes only. Visit us at www.NewPathWorksheets.com. How to use real numbers Any real number is either rational or irrational. Pi is an irrational number. Which of the following numbers are rational? Which are irrational? Ex. -
Computation of Square Roots
AM1 LLC U11891 1 (at present unknown) method of extracting the square Computing Square Roots 2 root of numbers approximately." "His method for computing square roots was similar to that used by the 1 June 2005 3 Babylonians." One of the Babylonian methods used James A. Crawford was essentially the same as the method known as “Newton’s Method” in more modern times, and we will http://www.am1.us/ examine this technique in Section 4.2. A second method attributed to the Babylonians is known as the “ladder method” and we will examine that method in Section 4.6. 1 Introduction In the first century AD, the Greek 4 Aside from the basic trigonometric and logarithm mathematician Heron of Alexandria also made use of functions, the square-root (SQRT) function is one of Newton’s Method for computing square roots. There the first functions that we encounter in school that can be no question but that the ancient Pythagoreans forces us to deal with irrational numbers. As a student were keenly aware of square roots since of computation, greater insight into mathematics can 2 2 be had by knowing more about what is behind the √x (1) c = a + b function on a $7.99 Casio calculator. This memorandum takes a brief look at methods for in which a,b, and c are the sides of the right-triangle calculating the square root of a positive real value. shown in Figure 1. One of the primary motivations for studying the square root function here is to uncover methods that Figure 1 Basic Right-Triangle Used for can be easily implemented in semi-custom VLSI Pythagorean Theorem circuitry. -
International System of Measurements
Notes Chapter 2: Measurements and Calculations Scientific Notation It is used to easily and simply write very large numbers, and very small numbers. It begins with a number greater than zero & less than 10. In other words, one digit before the decimal point. This number is multiplied by an appropriate power of 10 Powers of 10 – positive exponents 0 5 10 = 1 10 = 100,000 1 6 10 = 10 10 = 1,000,000 2 7 10 = 100 10 = 10,000,000 3 8 10 = 1,000 10 = 100,000,000 4 9 10 = 10,000 10 = 1,000,000,000 Scientific notation of numbers greater than 1 2 136 = 1.36 x 10 4 15,000 = 1.5 x 10 4 10,200 = 1.02 x 10 8 105,000,000 = 1.05 x 10 Chemistry-1 Notes Chapter 2 Page 1 Page 1 Powers of 10 – negative exponents 0 -4 1 10 = 1 10 = 0.0001 = /10,000 -1 1 -5 1 10 = 0.1 = /10 10 = 0.00001 = /100,000 -2 1 -6 1 10 = 0.01 = /100 10 = 0.000001 = /1,000,000 -3 1 -7 10 = 0.001 10 = 0.0000001 = /1,000 1 = /10,000,000 Scientific notation of numbers less than 1 -1 0.136 = 1.36 x 10 -2 0.0560 = 5.6 x 10 -5 0.0000352 = 3.52 x 10 -6 0.00000105 = 1.05 x 10 To Review: Positive exponents tells you how many decimal places you must move the decimal point to the right to get to the real number. -
Floating Point Computation (Slides 1–123)
UNIVERSITY OF CAMBRIDGE Floating Point Computation (slides 1–123) A six-lecture course D J Greaves (thanks to Alan Mycroft) Computer Laboratory, University of Cambridge http://www.cl.cam.ac.uk/teaching/current/FPComp Lent 2010–11 Floating Point Computation 1 Lent 2010–11 A Few Cautionary Tales UNIVERSITY OF CAMBRIDGE The main enemy of this course is the simple phrase “the computer calculated it, so it must be right”. We’re happy to be wary for integer programs, e.g. having unit tests to check that sorting [5,1,3,2] gives [1,2,3,5], but then we suspend our belief for programs producing real-number values, especially if they implement a “mathematical formula”. Floating Point Computation 2 Lent 2010–11 Global Warming UNIVERSITY OF CAMBRIDGE Apocryphal story – Dr X has just produced a new climate modelling program. Interviewer: what does it predict? Dr X: Oh, the expected 2–4◦C rise in average temperatures by 2100. Interviewer: is your figure robust? ... Floating Point Computation 3 Lent 2010–11 Global Warming (2) UNIVERSITY OF CAMBRIDGE Apocryphal story – Dr X has just produced a new climate modelling program. Interviewer: what does it predict? Dr X: Oh, the expected 2–4◦C rise in average temperatures by 2100. Interviewer: is your figure robust? Dr X: Oh yes, indeed it gives results in the same range even if the input data is randomly permuted . We laugh, but let’s learn from this. Floating Point Computation 4 Lent 2010–11 Global Warming (3) UNIVERSITY OF What could cause this sort or error? CAMBRIDGE the wrong mathematical model of reality (most subject areas lack • models as precise and well-understood as Newtonian gravity) a parameterised model with parameters chosen to fit expected • results (‘over-fitting’) the model being very sensitive to input or parameter values • the discretisation of the continuous model for computation • the build-up or propagation of inaccuracies caused by the finite • precision of floating-point numbers plain old programming errors • We’ll only look at the last four, but don’t forget the first two. -
Exact Numbers
Rules for Significant Figures Counting significant figures: 1. Nonzero integers . Nonzero integers are always counted as significant. For example, in the number 1.36, there are three significant figures. 2. Zeros . There are three different classes of zeros: a) Leading zeros are zeros that precede all the nonzero digits. Leading; zeros are never counted as significant. For example, in the number 0.0017, there are two significant figures, the 1 and the 7. The zeros are not significant because they simply indicate the position of the decimal. b) Captive zeros are zeros that fall between nonzero digits. Captive zeros are always counted as significant. For example, in the number 1006, there are four significant figures. c) Trailing zeros are zeros at the right end of the number. Trailing zeros are only significant if the number contains a decimal point. For example, the number 200 has only one significant figure, while the number 200. has three, and the number 200.00 has five significant figures. 3. Exact numbers . If a number was obtained by counting: 5 pennies, 10 apples, 2 beakers, then the number is considered to be exact. Exact numbers have an infinite number of significant figures. If a number is part of a definition then the number is also exact. For example, I inch is defined as exactly 2.54 centimeters. Thus in the statement .1 in. = 2.54 cm, neither the 1 nor the 2.54 limits the number of significant figures when its used in a calculation. Rules for counting significant figures also apply to numbers written in scientific notation. -
Significant Figures
SIGNIFICANT FIGURES UMERICAL DATA that are used to record Specimen Tem rature Nobservations or solve problems are seldom exact. (oE103) The numbers are generally rounded off and, conse- quently, are estimates of some true value, and the mathematical operations or assumptions involved in the calculations commonly are approximations. In numerical computations, no more than the necessary number of digits should be used; to report results with too many or too few digits may be misleading. To avoid surplus digits, numbers should be rounded off at the point where the figures cease to have real A consistent procedure should be followed in round- meaning. Conversely, the number of significant fig- ing off numbers to n significant figures. All digits to ures may be unnecessarily reduced by choosing the the right of the nth digit should be discarded, as illus- less meaningful of several possible methods of calcula- trated in the following six examples of rounded num- tion. Careful consideration, therefore, should be given bers, each of which has only three significant figures: to the significant digits and arithmetic involved in each measurement. Example Original number- -Rounded number The number of significant figures resulting from 1 --. 0.32891 0.329 any calculation involving simple arithmetic operations 2 - ----- -- 47,543 47,500 3 -- ----- ------ ----..-- 11.65 11.6 on measured quantities should not exceed the number 4 -------- - --------. 22.75 22.8 of significant figures of the least precise number 5 ------- -- 18.05 18.0 6 ---------- - ---- 18.051 18.1 entering into the calculation. In the calculation itself, one more significant figure may be retained in the more precise numbers than exist in the least precise If the first of the discarded digits is greater than 5, number. -
Data Analysis with Python
Data analysis with Python What is typically done in data analysis? We assume that data is already available, so we only need to download it. After downloading the data it needs to be cleaned to enable further analysis. In the cleaning phase the data is converted to some uniform and consistent format. After which the data can, for instance, be -combined or divided into smaller chunks -grouped or sorted, -condensed into small number of summary statistics -numerical or string operations can be performed on the data The point is to manipulate the data into a form that enables discovery of relationships and regularities among the elements of data. Visualization of data often helps to get a better understanding of the data. Another useful tool for data analysis is machine learning, where a mathematical or statistical model is fitted to the data. These models can then be used to make predictions of new data, or can be used to explain or describe the current data. Python is a popular, easy to learn programming language. It is commonly used in the field of data analysis, because there are very efficient libraries available to process large amounts of data. This so called data analysis stack includes libraries such of NumPy, Pandas, Matplotlib and SciPy that we will familiarize ourselves. No previous knowledge of Python is needed as will start with a quick introduction to Python. It is however assumed that you have good programming skills in some language. In addition, linear algebra and probability calculus are prerequisites of this course.It is recommended that you do this course in the end of bachelor degree or in the beginning of masters degree; preferably before the course “Introduction to Data Science”. -
Scientific Notation Worksheet
Name: _____________________________ Course: _________________ Scientific Notation Part A: Express each of the following in standard form. 1. 5.2 x 103 5. 3.6 x 101 2. 9.65 x 10–4 6. 6.452 x 102 3. 8.5 x 10–2 7. 8.77 x 10–1 4. 2.71 x 104 8. 6.4 x 10–3 Part B: Express each of the following in scientific notation. 1. 78,000 5. 16 2. 0.00053 6. 0.0043 3. 250 7. 0.875 4. 2,687 8. 0.012654 Part C: Use the exponent function on your calculator (EE or EXP) to compute the following. 1. (6.02 x 1023) (8.65 x 104) 8. (5.4 x 104) (2.2 x 107) 4.5 x 105 2. (6.02 x 1023) (9.63 x 10–2) 9. (6.02 x 1023) (–1.42 x 10–15) 6.54 x 10–6 3. 5.6 x 10–18 10. (6.02 x 1023) (–5.11 x 10–27) 8.9 x 108 –8.23 x 105 4. (–4.12 x 10–4) (7.33 x 1012) 11. (3.1 x 1014) (4.4 x 10–12) –6.6 x 10–14 5. 1.0 x 10–14 12. (8.2 x 10–3) (–7.9 x 107) 4.2 x 10–6 7.3 x 10–16 6. 7.85 x 1026 13. (–1.6 x 105) (–2.4 x 1015) 6.02 x 1023 8.9 x 103 7. (–3.2 x 10–7) (–8.6 x 10–9) 14. -
Creation of an Infinite Fibonacci Number Sequence Table
Creation of an infinite Fibonacci Number Sequence Table ( Weblink to the Infinite Fibonacci Number Sequence Table ) ) - by Dipl. Ing. (FH) Harry K. Hahn - ) Ettlingen / Germany ------------------------------ 12. June 2019 - Update from 3. August 2020 Note: This study is not allowed for commercial use ! Abstract : A Fibonacci-Number-Sequences-Table was developed, which contains infinite Fibonacci-Sequences. This was achieved with the help of research results from an extensive botanical study. This study examined the phyllotactic patterns ( Fibonacci-Sequences ) which appear in the tree-species “Pinus mugo“ at different altitudes ( from 550m up to 2500m ) With the increase of altitude above around 2000m the phyllotactic patterns change considerably, the number of patterns ( different Fibonacci Sequences ) grows from 3 to 12, and the relative frequency of the main Fibonacci Sequence decreases from 88 % to 38 %. The appearance of more Fibonacci-Sequences in the plant clearly is linked to environmental ( physical ) factors changing with altitude. Especially changes in temperature- / radiation- conditions seem to be the main cause which defines which Fibonnacci-Patterns appear in which frequency. The developed ( natural ) Fibonacci-Sequence-Table shows interesting spatial dependencies between numbers of different Fibonacci-Sequences, which are connected to each other, by the golden ratio ( constant Phi ) see Table An interesting property of the numbers in the main Fibonacci-Sequence F1 seems to be, that these numbers contain all prime numbers as prime factors ! in all other Fibonacci-Sequences ≥ F2, which are not a multiple of Sequence F1, certain prime factors seem to be missing in the factorized Fibbonacci-Numbers ( e.g. in Sequences F2, F6 & F8 ).