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9 Pages

### Notes_Ch11

Course: AAEC 3401, Fall 2008
School: Texas Tech
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Word Count: 1969

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11--Inferences Chapter on Two Samples 11.1--Inference about Two Means: Dependent Samples (or Matched-Pairs) t hypothesis test t confidence interval 11.2--Inference about Two Means: Independent Samples t hypothesis test--unequal population variances t confidence interval t hypothesis test--equal population variances 11.3--Inference about Two Population Proportions Z hypothesis test Z confidence interval...

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Texas Tech - AAEC - 3401
Chapter 2-Organizing and Summarizing DataThe Statistical Process (p. 4) involves four steps: 1. Identify the research objective. 2. Collect information to answer the question posed in (1). 3. Organize and summarize the information. 4. Draw conclusio
Texas Tech - AAEC - 3401
Chapter 3Numerically Summarizing DataTo reduce a large body of data to an understandable form that can be quickly grasped, we construct a frequency distribution table for the data and draw the corresponding histogram or frequency curve (as illustrat
Texas Tech - AAEC - 3401
8.1 Sampling Distributions; The Central Limit Theorem- Population Distribution (7.3) - - Sampling Distribution of the Mean (8.1) -xX X1 X2 X3 . . . XN n n nX1 =_xnX2 = X3 =--_Why is there less dispersion in the right curve?X
Texas Tech - AAEC - 3401
Chapter 9-Confidence Intervals about a Single Parameter9.1 Confidence Intervals about a Population Mean Point Estimate vs. Interval Estimate_Definition: A point estimate of a parameter is the value of a statistic ( X ) that estimates the value of
Texas Tech - AAEC - 3401
One-way Analysis of Variance (available on E-book)In basic statistics, the F-distribution is used in: (1) making inferences about two population variances- i.e., homogeneity of variance test, and (2) analysis of variance (ANOVA). In this class, we w
Texas Tech - AAEC - 3401
Chapter 9Hypothesis TestingDefinition: A statistical hypothesis is a statement or claim regarding a population parameter (e.g., =500). To determine the truth or falsity of a statistical hypothesis with 100% accuracy, you would need to examine the e
Texas Tech - AAEC - 3401
Chapter 10Inferences on Two Samples10.1Inference about Two Means: Dependent Samples (or Matched-Pairs) t hypothesis test t confidence interval 10.2Inference about Two Means: Independent Samples t hypothesis testunequal population variances t con
Texas Tech - AAEC - 3401
Chi-SquareChapter 11, Sections 11.1-11.2Your text discusses three types of chi-square tests: 1. Goodness-of-Fit 2. Independence 3. Homogeneity of Proportions We use the Greek symbol 2 (pronounced k i square to rhyme with sky-square) to represent
Texas Tech - AAEC - 5308
AAEC 5/6308, Lecture 10 Lecture 10 Optimal Control Theory and Nonrenewable Resource Use 1 Optimal control theoryPage 11.1 To determine optimal extraction of a nonrenewable resource, we need new tools 1.2 We need to determine optimal response at
Texas Tech - AAEC - 5308
AAEC 5/6308, Lecture 11 Lecture 11 Renewable Resource Economics 1 Renewable natural resources are those capable of self-reproduction 1.1 Here we will focus on fisheries, but the concepts presented will be generally applicable to most natural resourc
Texas Tech - AAEC - 5308
AAEC 5/6308, Evolutionary Games (Gintis, Game Theory Evolving, Chapter 9)1. Structure of Evolutionary Game 1.1. Definitions 1.1.1. Each player follows one of n pure strategies si for i = 1, 2,., n . 1.1.1.1. A pure strategy is one in which one of t
Texas Tech - AAEC - 5308
AAEC 5308/6308, Lecture 1 Lecture 1 Subject Matter and History of Natural Resource EconomicsPage 11 Subject matter of natural resource economics 1.1 Concerned with the problems and issues of management of natural resources and environmental qual
Texas Tech - AAEC - 4306
Nontariff BarriersChapter 7Nontariff Barriers Quotas: Import Export Tariff Rate Quota Subsidies Import Export Qualitative Restrictions Health and safety standardQuotas Quotas are government-imposed limits on the quantity or value of
Texas Tech - AAEC - 6311
Discrete Dependent VariablesBinary and Discrete Choice ModelsAAEC 6311 Prof. Belasco1Binary Dependent Variables The Linear Probability Model (LPM) canbe written as E(y|x) = P(y = 1|x) = x + There are some drawbacks to this model: Hete
Texas Tech - ISQS - 4350
This chapter has been removed. Press the Back Button
Texas Tech - ISQS - 4350
Texas Tech - ISQS - 4350
Texas Tech - PHYS - 5306
Sect. 1.3: Constraints Discussion up to now All mechanics is reduced to solving a set of simultaneous,ndcoupled, 2 order differential eqtns which come from Newton's 2nd Law applied to each mass individually:(dpi/dt) = mi(d2ri/dt2) = Fi(e) + jF
Texas Tech - PHYS - 5306
Sect. 2.4: HP for Non-Holonomic Systems Can formally extend HP to include some types of non-holonomic systems. Derivation of Lagranges Eqtns: Holonomic constraint requirement does not appear until last step. (When qi are considered independent).
Texas Tech - PHYS - 5306
Sect. 4.7: Finite Rotations So far: Have used various representations to describe the relative orientation of 2 Cartesian coord systems with common origin: We've shown the transformation matrix A in terms of: The Euler Angles: A = A( ,) The Cayley
Texas Tech - PHYS - 5306
Find the horizontal deflection from the plumb line caused by the Coriolis force acting on a particle falling freely in Earth's gravitational field from height h above Earth's surface. (N. hemisphere):Example (Marion) Acceleration in the rotating
Texas Tech - PHYS - 5306
Sect 5.7: Heavy Symmetrical Top with 1 Point Fixed, Part I Euler's Eqtns of Motion for a Rigid Body with 1 pt. fixed:I1(d1/dt) - 23(I2 -I3) = N1 I2(d2/dt) - 31(I3 -I1) = N2 I3(d3/dt) - 12(I1 -I2) = N3(1) (2) (3) Complicated example! The heavy
Texas Tech - PHYS - 5306
Sect. 2.6: Conservation Theorems &amp; Symmetry Properties Lagrange Method: A method to get the eqtns ofmotion. Solving them = math!n degrees of freedom. Need n eqtns of motion (2nd order diff. eqtns) 2n constants of integration (2n initial conditi
Texas Tech - PHYS - 5306
Sect. 8.3: Routh's Procedure These examples were simple, but they illustrate the procedure which is followed in many more complex problems! In most cases:1) The 1st Hamilton Equation qi = ( H/ pi), usuallymerely gives the relation between pi &amp; qi
Texas Tech - PHYS - 5306
Definition of inertia tensor (continuous body):Sect 5.4: Eigenvalues of I &amp; Principal Axis TransformationIjk V(r)[r2jk - xjxk]dV Clearly, Ijk is symmetric: Ijk = Ikj Out of the 9 elements Ijk only 6 are independent. Ijk depend on the location
Texas Tech - PHYS - 5306
Brief Discussion!Apsidal Angles &amp; Precession Particle undergoing bounded, non-circular motion in a central force field Always have r1 &lt; r &lt; r2 V(r) vs r curve Only 2 apsidal distances exist for bounded, noncircular motion. Possible motion:
Texas Tech - PHYS - 5306
Chapter 1: Survey of Elementary Principles Sect. 1.1: Mechanics of a Particle Basic definitions &amp; notation: m mass of particle r position vector of particle (arbitrary v (dr/dt) = velocity of particle p mv = linear momentum of particle Interac
Texas Tech - PHYS - 5306
General Lorentz Transformation Consider a Lorentz Transformation, with arbitrary v, : ct = (ct - r) r = r + -2(r)( -1) - ct Transformation matrix in 4d spacetime: x Lx Can write L as: L = RL0 = L0R. Here R rotation matrix, as in Ch. 4. L0 Pure
Texas Tech - PHYS - 5306
Sect. 3.10: Central Force Field Scattering Application of Central Forces outside of astronomy: Scattering of particles. Atomic scale scattering: Need QM of course! Description of scattering processes: Independent of CM or QM. 1 body formulation
Texas Tech - PHYS - 5306
Sect. 3.3: Equivalent 1d Problem Formally, the 2 body Central Force problem has been reduced to evaluation of 2 integrals, which will give r(t) &amp; (t) : (Given V(r) can do them, in principle.)t(r) = dr({2/m}[E - V(r)] - [ 2(m2r2)])- (1) Limits r0
Texas Tech - PHYS - 5306
Sect. 1.5: Velocity-Dependent Potentials &amp; the Dissipation Function Non-conservative forces? It's still possible, in a Special Case, to use Lagrange's Eqtns unchanged, provided a Generalized or Velocity-Dependent Potential U = U(qj,qj) exists, where
Texas Tech - PHYS - 5306
PARTIAL listing of some World Wide Web resources on graduate classical dynamics NOTE: There is a lot of material on the web which is potentially useful for classical dynamics . I have not had time to check out the details of most of these. I am listi
Texas Tech - PHYS - 1306
Chapter 10: Fluids Three (common) phases of matter: 1. Solid: Maintains shape &amp; size (approx.), even under large forces. 2. Liquid: No fixed shape. Takes shape of container. 3. Gas: Neither fixed shape, nor fixed volume. Expands to fill container. L
Texas Tech - PHYS - 5335
Model Bandstructure ProblemOne-dimensional, almost free electron model (easily generalized to 3D!)(BW, Ch. 2 &amp; Kittels book, Ch. 7) Almost free electron approach to bandstructure.1 e- Hamiltonian: H = (p)2/(2mo) + V(x); p -i(d/dx) V(x) V(x+a):
Texas Tech - PHYS - 1306
Ch. 2: Describing Motion: Kinematics in One DimensionBrief Overview of the CoursePoint Particles &amp; Large Masses Translational Motion = Straight line motion. Chapters 2,3,4,6,7 Rotational Motion = Moving (rotating) in a circle. Chapters 5,8
Texas Tech - PHYS - 5335
3-DimensionalCrystal Structure3-D Crystal StructureBW, Ch. 1; YC, Ch. 2; S, Ch. 2 General: A crystal structure is defined by primitivelattice vectors a1, a2, a3. a1, a2, a3 : Depend on geometry. Once specified, theprimitive lattice structur
Texas Tech - PHYS - 5335
Still Another Semiconductor Definition!Clathrate SemiconductorsNot in Texts! Relatively new research area A current research interest for me! &quot;New&quot; crystalline phases of Group IV elements: Si, Ge, Sn (not C yet). Few pure elemental phases yet
Texas Tech - PHYS - 1306
Chapter 11: Vibrations &amp; Waves First half of Chapter: Vibrations Second half: Waves Chapter 12: Sound waves.Sect. 11-1: Simple Harmonic Motion Vibration Oscillation = back &amp; forth motion of an object Periodic motion: Vibration or Oscillation
Texas Tech - PHYS - 5305
Section 2.3: Basic Postulate Definition:ISOLATED SYSTEM A system which has no interaction of any kind with the outside world Clearly, an idealization! Such a system has No Exchange of Energy with the outside world. The laws of mechanics tell
Texas Tech - PHYS - 5305
IntroductionOverview of Statistical &amp; Thermal Physics Basic Definitions &amp; Terminology Thermodynamics: Study of Macroscopic p v(Laws of Thermo!). Derives relations betweenmacroscopic properties of a system (heat capacity,temperature, volume, pre
Texas Tech - PHYS - 4304
Section 4.8 For the driven, damped pendulum, we found chaos for some values of the parameters (the driving torque F) &amp; not for others. Similarly, for the Logistic Equation, we found chaos for some values of &amp; not for others.Chaos Identification
Texas Tech - PHYS - 4304
Superposition &amp; Fourier Series Sect. 3.9 (Mostly) A math discussion! Possibly useful in laterapplications. Can use this method to treat oscillators with non-sinusoidal driving forces. The 2nd order time dependent diff. eqtn (N's 2nd Law!) for all
Texas Tech - PHYS - 5335
The Ancient Periodic TableGroup IV (Elemental) Crystalline Materials (Periodic Table, Column IV) C (carbon)Diamond Structure: (diamond!) semiconductor Graphite: metal, most common form Fullerenes (buckminsterfullerene): bucky balls, nanotubes, .
Texas Tech - PHYS - 1306
Inclined Plane ProblemsTilted coordinate system: Convenient, but not necessary.MUST understand these!aUnderstand F = ma &amp; how to resolve into x,y components in the tilted coordinate system!aYou MUST understand this case to understand the ca
Texas Tech - PHYS - 1306
Newton's 3rd LawAnother Statement of Newton's 3 Law &quot;If two objects interact,Example: Newton's 3rd LawWhen a force is exerted on an object, that force is caused by another object.rdNewton's 3 Law:&quot;Whenever one object exerts a force on a seco
Texas Tech - PHYS - 1306
Sect. 2-5: Motion at Constant AccelerationMotion with Constant Acceleration Many practical situations: The magnitude of the acceleration is uniform (constant) The motion is in a straight line Its useful to derive some equations which apply in t
Texas Tech - PHYS - 4304
Introduction Section 5.1 Newton's Universal Law of Gravitation:Every mass particle attracts every other particle in the universe with a force that varies as the product of the masses and inversely as the square of the distance between them.F = -
Texas Tech - PHYS - 1306
Ch. 1: Introduction, Measurement, EstimatingPhysics: The most basic of all sciences! Physics: The &quot;Mother&quot; of all sciences! Physics = The study of the behavior of and the structure of matter and energy and of the interaction between matter and en
Texas Tech - TSF - 03
WORKSHOP PRE-REGISTRATION FORM Texas Section of AAPT Texas Tech University October 24 25, 2003Name: _Tel. _ Address: __ City, State, Zip: _ E-Mail: _(circle workshop numbers)Ideas: Women in Physics. Friday, October 24, 1:30 pm - 3:30 pmW1 &quot;G
Texas Tech - PHYS - 5101
COURSE SYLLABUS - Physics 5101, Fall, 2007 ColloquiumInstructor: Dr. C.W. Myles, Professor, Dept. of Physics. Office: Sc. Rm 18. Phone: 742-3768. Office Hours: 10:00-11:00 am, M-F. Afternoons by appointment. Email: Charley.Myles@ttu.edu. A class ema
Texas Tech - PHYS - 1403
Learning Outcomes (Course Objectives), Physics 1403, General Physics IAfter completing this course, students will be able to:1. Understand: a) measurements, units, &amp; estimating; b) basic &amp; derived units in the SI system; c) significantfigures2.
Texas Tech - PHYS - 1403
HOW TO SUCCEED IN PHYSICS BY REALLY TRYING (Many items apply to any course!) 1. Course Preparation: Your math skills need to be good! The majority of the problems students have with this course can be traced to MATH weakness, not to a lack of underst
Texas Tech - PHYS - 5305
LIBRARY RESEARCH PAPER &amp; TALK The rules for the LIBRARY RESEARCH paper &amp; talk are below. This project counts the same weight (25%) in your final grade as one of the exams.RULES FOR LIBRARY RESEARCH PAPER &amp; TALK1. This paper should be on an advance
Texas Tech - PHYS - 1306
WHERE TO GO FOR HELP?! See Me! Room 018. During office hours or not (Im usually not rigid about these). Or call me on the phone. Or email me! I respond to email! 2. See your Physics Lab TA! There will be office hours for this person. You can also see
Texas Tech - PHYS - 5306
MIDTERM EXAM, PHYSICS 5306, Fall, 2005 Dr. Charles W. Myles Take Home Exam: Distributed, Wednesday, October 26 DUE, IN MY OFFICE OR MAILBOX, 5PM, WED., NOV. 2. NO EXCEPTIONS! TAKE HOME EXAM RULE: You are allowed to use almost any resources (books fro
Texas Tech - PHYS - 1306
From gturner@door.net Wed Jan 22 09:15:09 2003Date: Tue, 21 Jan 2003 18:25:46 -0600From: gturner@door.netTo: cmyles@spudhammer.phys.ttu.eduSubject: physics 1306 infoDr. Myles,I was one of the &quot;lucky&quot; ones in Physics 1306 that did not have Mi
Texas Tech - P - 1305
Home &gt; What is Linux? &gt; Linus TorvaldsMonday, April 12, 1999 | Last Updated 2:30pm The Linus Torvalds Documentation Project With all due apologies to the Linux Documentation Project we hereby present this page
Texas Tech - P - 2401
PHYS2401PrinciplesofPhysicsIILab Spring2009 TexasTechUniversity CourseSyllabus LabInstructor:_ Section:_ LabCoordinator: Dr.D.A.Barlow SC116 8067423651 douglas.barlow@ttu.edu www.webpages.ttu.edu/dobarlow MeetingPlace:SC130 CourseDescription:Eachmeet
Texas Tech - SF - 6
2 (d1ehd'0ds#)(VR'he~h&amp;dw wehde~%~hwv \$d#HevdT&quot; !~hwdxVRdyRdwhHd y3 3Pd wnfT ow ~wfh ohnwTwnf wnyow~nuy~nwHTwyfnf w r ffyn kTwT
Texas Tech - CH - 4
Texas Tech - H - 2
DPM (US:1.5 a0) 10 symmetries; lmax = 7 3 Differential Cross Section (a0 sr ) 2.5 2 1.5 1 0.5 01.00 eV 2.00 eV 3.00 eV 4.00 eV 5.00 eV 6.00 eV 7.00 eV 8.00 eV-1e -&gt;H2+20306090 (degrees)120150180