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MAC1105MWSyllabus

Course: MAC 1105, Fall 2010
School: University of Florida
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College MAC1105 Algebra Fall 2010 Section: Course Instructor: Oce: Phone: E-mail: 83004 Pablo Crespo Building 51 Room 3127 ? pablo.crespo@unf.edu URL: http://www.unf.edu/~pablo.crespo/ Oce Hours: Meeting times: Meeting location: Prerequisite: Textbook: College Algebra Second Edition MW 1:30-2:30 PM and TR 11:00AM-12:00PM MW 12:00 pm - 1:15 pm Building 45 Room 2412 Intermediate Algebra by Paul Sisson,...

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College MAC1105 Algebra Fall 2010 Section: Course Instructor: Oce: Phone: E-mail: 83004 Pablo Crespo Building 51 Room 3127 ? pablo.crespo@unf.edu URL: http://www.unf.edu/~pablo.crespo/ Oce Hours: Meeting times: Meeting location: Prerequisite: Textbook: College Algebra Second Edition MW 1:30-2:30 PM and TR 11:00AM-12:00PM MW 12:00 pm - 1:15 pm Building 45 Room 2412 Intermediate Algebra by Paul Sisson, Hawkes Learn- ing Systems Homework: Homework will be assigned regularly, you are responsible for their completion. The weekly quizzes will contain problems similar to the homework. Your lowest two homework grades will be dropped from the nal homework grade, hence no late homework is accepted. Please present homework in the rst 10 minutes of the due date or it will no longer be accepted. Homework in multiple pages that has not been stapled will automatically receive a grade of zero. Online Quizzes :These quizzes will be accessible through the Hawkes portal and it will be due every sunday. You can practice as much as you like before taking them and each quiz will allow you to use as many chances as you can to 1 get a perfect score so take full advantage of it. Quizzes: Weekly quizzes will be taken in the last 20 minutes of class each Monday. The two lowest grades will be dropped from the nal quiz grade. No make up quizzes will be given, in case you are to miss a quiz, please provide documentation (e.g. Doctor's note) that justies your absence during a quiz. No notes or books will be allowed during a quiz. Exams: No make up exams will be given. If your absence from an exam is absolutely necessary please provide documentation (e.g. a Doctor's note to justify it). You will be allowed to use a scientic only calculator, this means calculators such as the TI-83, TI-84 and TI-89 and any others able to perform algebraic operations are strictly forbidden. No notes or books will be allowed during the exam. For Students with Disabilities: Students with disabilities who seek reasonable accommodations in the classroom or other aspects of performing their coursework must rst register with the UNF Disability Resource Center (DRC) located in Building 10, Room 1201. DRC sta members work with students to obtain required documentation of disability and to identify appropriate accommodations as required by applicable disability laws including the Americans with Disabilities Act (ADA). After receiving all necessary documentation, the DRC sta determines whether a student qualies for services with the DRC and if so, the accommodations the student will be provided. DRC sta then prepares a letter for the student to faculty provide advising them of approved accommodations. For further information, contact the DRC by phone (904) 620-2769, email (kwebb@unf.edu), or visit the DRC website (http://www.unf.edu/dept/disabled-services). 2 Important dates: Labor Day: 09/06/ 2010 Last day to withdraw: 11/05/ 2010 Veteran's Day: 11/11/2010 Thanksgiving Holiday:11/25/2010-11/27/2010 Exam 1: on or near 9/27/2010 Exam 2: on or near 11/01/2010. (Dates are approximate and may be slightly shifted due to unforeseen circumstances.) Final exam: Wednesday, 12/08/2010, ( 11:00 am -12:50pm) Grading: Exam I: 20% Exam II: 20% Comprehensive Final: 20% Homework: 15% Quizzes: 15% Online Quizzes: 10% Total: 100% Grades 100 - 90 A 89 - 80 B 79-70 C 60 - 69 D 59 - Below F Note: + and - grades will only be assigned to help the letter grade of the student, in no way diminish it. 3 Course Content to be Covered(Might see minor changes) Chapter 1: Sections 1.1, 1.2, 1.3, 1.4, 1.5, 1.6 Chapter 2: Sections 2.1, 2.2, 2.3, 2.4, 2.5, 2.6 Chapter 3: Sections 3.1, 3.2, 3.3, 3.4, 3.5, 3.6 Chapter 4: Sections 4.1, 4.2, 4.3, 4.4, 4.5, 4.6 Chapter 7 : Sections 7.1, 7.2, 7.3, 7.4 Chapter 8: Section 8.1 General Education Outcomes MAC 1105 is designed to satisfy the following criteria from the Student Outcomes of General Education: Know the world. Demonstrate knowledge of the natural sciences, mathematics, arts, and human societies. This course focuses on the mathematics portion of this out- come. The whole course contributes to satisfying this outcome. Think Critically. Read, analyze, and understand complex texts or quantitative information. This course focuses on the quantitative information portion of this outcome. The whole course contributes to satisfying this outcome. Solve Problems. Formulate and/or apply models to evaluate problems and draw conclusions. We will reach this goal by setting up and solving linear, quadratic, exponential, and logarithmic word problems and equations. Plan for dealing with disruption of normal activities In the event of disruption of normal classroom activities due to an emergency such as hurricane, pandemic or other unforeseen event or combination of events, the format of this course may be modied in order to enable completion of the course requirements. In that event, you will be provided an addendum to this 4 syllabus that will supersede this version. It is your responsibility as a student participant to be proactive during any emergency to nd instructions that I will post on Blackboard and/or be sent through email (or posted to the osprey website) as determined by the instructor as appropriate for the circumstances. 5
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University of Florida - MAC - 1105
University of Florida - MAC - 1105
University of Florida - MAC - 1105
University of Florida - MAC - 1105
University of Florida - MAC - 1105
University of Florida - MAC - 1105
University of Florida - MAC - 1105
University of Florida - MAC - 1105
University of Florida - MAC - 1105
University of Florida - MAC - 1105
University of Florida - MAC - 1105
University of Florida - MAC - 1105
University of Florida - MAC - 1105
Online Quizzes DatesOnline Quiz 1Sunday 09/12/2010 : Certify Section 1.1, Section 1.2 , Section 1.3a and Section1.3bOnline Quiz 2Sunday 09/19/2010: Certify Section 1.4a and Section 1.4bOnline Quiz 3Sunday 10/03/2010: Certify Section 1.5 and Section
University of Florida - MAC - 1105
MAC1105 Quiz 1 (2 pages)Name: SOLUTION1. Write the following set in set-builder notation (3 points):cfw_7, 0, 7, 14, 21Answer:cfw_7x| x isan integer s.t.1 x 3 2. Write the following sets in interval notation (1.5 points each)a) cfw_ x|12 < x 32b
University of Florida - MAC - 1105
Quiz 2 MAC1105 (15 points)Name: SOLUTION2 pages1. Simplify the following unions and intersections of intervals (1 point each)a) (, 7] (0, )Answer:(, )b) [2, 5] [3, 4]Answer:[3, 4]c) N Z RAnswer: Let's do this in two parts:We rst determine that
University of Florida - STA - 2014
A Short History of ProbabilityFrom Calculus, Volume II by Tom M. Apostol (2nd edition, John Wiley & Sons, 1969 ):"A gambler's dispute in 1654 led to the creation of a mathematical theory of probability by two famousFrench mathematicians, Blaise Pascal
University of Florida - STA - 2014
ASSIGNMENTS STA 2014Assignment 1Section 1.1: 14, 16, 18, 22, 28, 31, 34Section 1.2: 12, 14, 15Assignment 2Section 1.4: 12, 13, 15, 17, 19, 21Section 1.5: 13, 14, 16, 18, 19, 21, 23Section 2.1: 11, 12 (a, b) , 14 (a,b), 15 (a,b), 16, 17 (a to e), 20
University of Florida - STA - 2014
Binomial ExperimentsWhich of the following are binomial experiments? Can any that are not be modified so that theywill become binomial experiments?a) Richard has just been given a 10-question multiple-choice quiz in his history class. Eachquestion has
University of Florida - STA - 2014
Binomial Distribution, Example 2Assume that the population of interest is the population of all adult (at least 18 years old) malesin the U. S. Assume that a certain proportion, p, of this population are over 6 feet tall, where0 p 1. We will select a r
University of Florida - STA - 2014
Confidence Interval Estimation of a Population Proportion, a ExampleAssume that I select a random sample of size n from a population, where n is large. For eachmember of the sample, I want the answer to a yes-or-no question. For sample member i, letX i
University of Florida - STA - 2014
Exam 1 Review Questions.1. Administrators at a large university want to know the average debt incurred by their graduates. Surveys were mailed to 210 graduates asking themto report their total student loan debt. Identify the population and sample inthe
University of Florida - STA - 2014
Finding the Mean (Expectation), Variance, and Standard Deviationof a Discrete Probability DistributionUsing the STAT Menu of the TI-83/TI-84 Graphing Calculator1. To find the mean, , of the distribution of a discrete random variable X:a) Choose STAT,
University of Florida - STA - 2014
Hypothesis Tests Some ExamplesExample 1: Directional hypothesis test for a population mean.The U. S. Food and Drug Administration recommends that individuals consume 1000 mg ofcalcium daily. The International Dairy Foods Association (IDFA) sponsors and
University of Florida - STA - 2014
STEPS IN STATISTICAL HYPOTHESIS TESTINGStep 1: State the null hypothesis, H0, and the alternative hypothesis, Ha. The alternativehypothesis represents what the researcher is trying to prove. The null hypothesis represents thenegation of what the resear
University of Florida - STA - 2014
Statistics 2014Among the skills that you will be learning in this course are techniques for graphing data. Below is atype of graph that we will be looking at later in the course. You might find that this graph providesyou with some useful information.
University of Florida - STA - 2014
Chapter 2 Organizing and Summarizing DataDefinition: When data are in their original form, as collected, they are called raw data.We want to be able to visualize the characteristics of a data set; hence we construct graphicalrepresentations of the data
University of Florida - STA - 2014
Chapter 3 Numerically Summarizing DataAfter we have become somewhat familiar with the data through representing it graphically andobserving the characteristics of the distribution, we want to describe the characteristics with numericalvalues called des
University of Florida - STA - 2014
Ch 4 Describing the Relation between Two VariablesDefinition: When the values of two variables are measured for each member of a population orsample, the resulting data is called bivariate.When both variables are quantitative, we may represent the data
University of Florida - STA - 2014
Chapter 5 ProbabilityDefn: A random experiment is one for which the outcome cannot be predicted with certainty.Defn: The set of all possible outcomes of a random experiment is called the sample space of theexperiment.Defn: An event is a subset of the
University of Florida - STA - 2014
Chapter 5 ProbabilityDefn: A random experiment is one for which the outcome cannot be predicted with certainty.Defn: The set of all possible outcomes of a random experiment is called the sample space of theexperiment.Defn: An event is a subset of the
University of Florida - STA - 2014
Chapter 6 The Binomial Probability DistributionDefn: A random variable is a variable whose values are determined by chance. We will denote arandom variable by a capital letter, such as X, and denote particular values of the variable by thecorresponding
University of Florida - STA - 2014
Chapter 7 The Normal Probability DistributionThe normal distribution is a special type of bell-shaped curve.Defn: A random variable X is said to be normally distributed or to have a normal distribution if itsdistribution has the shape of a normal curve
University of Florida - STA - 2014
Chapter 8 Sampling DistributionsDefn: Sampling error is the error resulting from using a sample to infer a populationcharacteristic.Example: We want to estimate the mean amount of Pepsi-Cola in 12-oz. cans coming off anassembly line by choosing a rand
University of Florida - STA - 2014
Chapter 9 Estimating the Value of a ParameterUsing Confidence IntervalsThere are two branches of statistical inference, 1) estimation of parameters and 2) testing hypothesesabout the values of parameters. We will consider estimation first.Defn: A poin
University of Florida - STA - 2014
Chapter 10 Testing Claims Regarding a ParameterThe other branch of statistical inference is concerned with testinghypotheses about the value of parameters.Defn: A hypothesis is a statement about the value of a populationparameter.Defn: In a hypothesi
University of Florida - STA - 2014
Normal Approximation to the Binomial DistributionUsing the Central Limit TheoremAssume that I select a random sample of size n from a population, where n is large. For eachmember of the sample, I want the answer to a yes-or-no question. For sample memb
University of Florida - STA - 2014
1Understanding Probability LawsLet a random experiment have sample space S. Any assignment of probabilities to events must satisfy three basic laws ofprobability, called Kolmogorovs Axioms:1) For any event A, P(A) 0.2) P(S) = 1.3) If A and B are two
University of Florida - STA - 2014
Statistics 2014, Spring 2010Final Exam Review TopicsChapter 1 Data CollectionStatistics, Population, Sample, Parameter, Statistic, Variable, DataBranches of statistics: Descriptive, InferentialTypes of data: 1) Attribute, or qualitative 2) Numerical,
University of Florida - STA - 2014
Review 3 STA 20141. Mahalo Burgers, Inc, claims that the mean gross revenue of Mahalo Burgers stores is $300000 per year witha standard deviation of $72000.a) If a random sample of 38 stores in the franchise is selected, describe the sampling distribut
University of Florida - STA - 2014
Sampling Distributions and the Central Limit TheoremWhenever we select a random sample from a population, collect data from the members of thesample, and summarize the data values in the form of a statistic, that statistic is a random variable(dependin
University of Florida - STA - 2014
Statistics 2014, Spring 2010Exam 2 Review TopicsChapter 5 ProbabilityRandom experiment.Sample spaceEvents: Simple event; Compound event.Assigning probabilities to events:Classical approach: equally likely outcomesRelative frequency (empirical) app
University of Florida - STA - 2014
STA2014 Review For Exam 21.The data below are the nal exam scores of 10 randomly selected history students and the number of hours theyslept the night before the exam. Suppose we want to predict the score of the exam using the hours slept the night befo
University of Florida - STA - 2014
University of Florida - STA - 2014
University of Florida - STA - 2014
University of Florida - STA - 2014
University of Florida - STA - 2014
University of Florida - STA - 2014
University of Florida - STA - 2014
University of Florida - STA - 2014
University of Florida - STA - 2014
University of Florida - STA - 2014
University of Florida - STA - 2014
University of Florida - STA - 2014
University of Florida - STA - 2014
STEPS IN STATISTICAL HYPOTHESIS TESTINGStep 1: State the null hypothesis, H0, and the alternative hypothesis, Ha. The alternative hypothesisrepresents what the researcher is trying to prove. The null hypothesis represents the negation of what theresear
University of Florida - STA - 2014
STA 2014 Elementary Statistics for Health andSocial Science Majors Fall 2010Section: 82136Instructor: Pablo CrespoOce: Building 51 Room 3127Phone: ?E-mail: pablo.crespo@unf.eduURL:http:/www.unf.edu/~pablo.crespo/Oce Hours: MW 1:30-2:30 PM and TR 1
University of Florida - STA - 2014
Introduction to the TI-83/84Clearing the memory of the TI-83/84 graphing calculator:Some of you may have used calculators, and these calculators may have items stored in memory by theprevious owner. In addition, after you have been using your calculato
Ohio State - STA - 528
Ohio State - STA - 528
Ohio State - STA - 528
Statistics 528: Homework 2Due Friday, January 231. IPS Section 1.2 exercises 1.41, 1.45, 1.50, 1.58, 1.722. IPS Section 1.3 exercises 1.78, 1.86, 1.88, 1.98, 1.112, 1.140Problem 1.140 is a bit more open-ended than other problems in the text.The idea
Ohio State - STA - 528