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### Day11

Course: STAT 110, Fall 2009
School: Los Angeles Southwest...
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Word Count: 461

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12: Chapter Describing Distributions with Numbers We create graphs to give us a picture of the data. We also need numbers to summarize the center and spread of a distribution. Two types of descriptive statistics for categorical variables: 1) Counts (Frequencies) 2) Rates or Proportions (Relative Frequencies) Many statistics available to summarize quantitative variables. Homeruns in Baseball Question: Who is...

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12: Chapter Describing Distributions with Numbers We create graphs to give us a picture of the data. We also need numbers to summarize the center and spread of a distribution. Two types of descriptive statistics for categorical variables: 1) Counts (Frequencies) 2) Rates or Proportions (Relative Frequencies) Many statistics available to summarize quantitative variables. Homeruns in Baseball Question: Who is the best home run hitter ever in major league baseball? Players with high numbers of homeruns in seasons: Babe Ruth Roger Maris Mark McGwire Sammy Sosa Barry Bonds 1 Median and Quartiles The median (M) is the midpoint of a distribution when the observations are arranged in increasing order. Number such that half the observations are smaller and the other half are larger. (p. 219) List the data in order from smallest to largest If n is odd, the median is the middle value. If n is even, the median is the mean of the middle two values. M for Sosa and Maris Calculate M for Sosa's homeruns in a season (8 seasons, to 1999). Data: 15, 10, 33, 25, 36, 40, 36, 66 Calculate M for Maris's homeruns in a season (11 seasons). Data: 14, 28, 16, 39, 61, 33, 23, 26, 13, 9, 5 2 Percentiles p100% percentile the value of a variable such that p100% of the values are below it and (1-p)100% of the values are above it where 0 < p < 1. For the 35th percentile, p=0.35. Where have you seen percentiles before? Quartiles First Quartile (Q1): The value that such 25% of the data values lie below Q1 and 75% of the data values lie above Q1. (25th percentile) Third Quartile (Q3): The value such that 75% of the data values lie below Q3 and 25% of the data values lie above Q3. (75th percentile) The median is the second quartile (Q2) . (50th percentile) 3 Calculating percentiles: Let n be the number of data values. Order the n values from largest to smallest. Calculate the product, np. If the product is not an integer (0,1,2,3,...), then round it up to the next integer and take the corresponding ordered value. If the product is an integer, say k, then average the kth and (k+1)-st ordered values. 5-Number Summary The 5-number summary of a data set consists of the following descriptive statistics (p. 221): Minimum, First Quartile (Q1), Median, Third Quartile (Q3), Maximum Give the 5-number summaries for Sosa and Mar...

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Los Angeles Southwest College - STAT - 110
Inference (Chapter 22) Inference is the term used to describe the process of making decisions based on data. We would like to make decisions about population parameters based on sample statistics. We will discuss making an inference about a popula
Los Angeles Southwest College - K - 12
Title: Is it hot in here? Exploring the greenhouse effect and global climate changeAuthor: Kimberly Schneider, GK-12 Program, Department of Biological Sciences, University of South Carolina Implemented: St. Andrews Middle School, Columbia SCOvervi
Los Angeles Southwest College - K - 12
Who Polluted the Potomac?Introduction:As human populations have increased and land uses have changed, many of our rivers have become polluted. This example demonstrates that, just as we each contribute to the problem, we must also be part of the so
Los Angeles Southwest College - K - 12
Title: What Do We Have In Common? (Comparing Bivalves to Humans)Author: Kimberly Schneider (GK-12 program), Crystal Welch (Rising Tide), Nouran Ragaban (Rising Tide), Department of Biological Sciences, University of South Carolina Implemented: St. A
Los Angeles Southwest College - K - 12
What do we all have in common? A bivalve dissection!I. External Observations: 1. List two qualitative observations about your bivalve specimen: Various answers: black, smooth shell, funny strings coming out of one side, smells like fish etc 2. List
Los Angeles Southwest College - K - 12
Mussel Distribution Map of Mystery BaySample sites in Mystery Bay17 18 9 11 12 19 22 20 23 15 14 13 16 24 10 21Color Gallant galloTroublesome trossolus25 26 27 302933 342831 3235 36 37 3839 5 6 1 2 7 4 3 8 42 41 4043 44 50 45 49
Los Angeles Southwest College - K - 12
Student Question Sheet for Traits1. What would be the benefit in having more byssal threads?Since mussels use byssal threads to attach, more byssal threads means having a stronger hold. Therefore, mussels are less susceptible to being dislodged.2
Los Angeles Southwest College - K - 12
Who Polluted the Potomac?1. Who polluted the Potomac?_ _ 2. What effect did the increasing population have on the health of the river? _ _ 3. Think about the pollution contained in the canisters. Could something be done to prevent those types of m
Los Angeles Southwest College - K - 12
BIVALVE DISSECTIONMETHODS: 1. Follow ALL the safety guidelines that your teacher has set in your classroom. 2. Carefully pull the shell apart. You may need to cut the abductor mussels so you can lay out the shells side by side. 3. Get six (2 for let
Los Angeles Southwest College - K - 12
Wave Action Map of Mystery BayKeyHeavy wave action -Medium wave action -Light wave action -
Los Angeles Southwest College - K - 12
THE INSTITUTE OF BIOLOGY
Los Angeles Southwest College - K - 12
Los Angeles Southwest College - K - 12
Whos Dominant? Analyzing Traits of MusselsAuthor: Brice Gill, St. Andrews Middle School, Columbia SC Implemented: St. Andrews Middle SchoolOverview: Students create a mock population of two competitive species of mussels in order to examine the ef
Los Angeles Southwest College - K - 12
The Greenhouse Effect1) What is the greenhouse effect, and why is it so called? . .. 2) What gases are the most responsible for causing the greenhouse effect? .. .. 3) What changes are likely to happen to the sea levels as the greenhouse effect gets
Los Angeles Southwest College - K - 12
Title: Who polluted the Potomac? Author: Populations Connection (http:/www.populationconnection.org/). Modified by Kimberly R. Schneider (GK-12 program, Department of Biological Sciences, University of South Carolina) Implemented: St. Andrews Middle
Los Angeles Southwest College - K - 12
Title: Where in the world is carbon?Author: Kimberly R. Schneider, GK-12 program, Department of Biological Sciences, University of South Carolina - NOTE: some of the materials in the lesson were taken from the ChemSoc http:/www.chemsoc.org/networks/
Los Angeles Southwest College - E - 2
Starting a pollution prevention project using resources at hand makes good financial sense. However, if your project is complex, hiring a consultant to supplement your internal capabilities may help you complete the job in a thorough and efficient ma
Los Angeles Southwest College - EJMAY - 05
An Overview of the GAO Report on Key National IndicatorsRichard D. YoungIntroduction As the 21st century begins, many significant challenges and opportunities face Americans at all levels of jurisdictionnationwide as well as at state and local lev
Los Angeles Southwest College - EJNOV - 08
Lies, Damn Lies, and Energy Independence A Book Review Gusher of Lies: The Dangerous Delusions of Energy IndependenceMark A. BondoThe term &quot;energy independence&quot; is unavoidable to even the most casual followers of public policy and politics. Durin
Los Angeles Southwest College - EJMAY - 05
The South Carolina Washington Semester ProgramBeth H. Burn and Rebecca J. JohnsonIntroduction In the late 1980s, Senator Ernst Hollings and House Members Floyd Spence, Butler Derrick, Liz Patterson, and John Spratt approached Steve Beckham, the Di
Los Angeles Southwest College - EJMAY - 05
Around The InstituteEdwin C. Thomas Survey Research Laboratory Undertakes BRFSS Project In January of this year, the Institutes survey unit began telephone data collection for the South Carolina Behavioral Health Risk Factor Survey (BRFSS) for the S
Los Angeles Southwest College - EJMAY - 05
The Sex Education Curriculum in South Carolinas Public Schools: The Publics ViewForrest L. Alton, Robert W. Oldendick, and Katherine A. DraughonIntroduction Sex. The word alone is enough to stir up strong feelings among the South Carolina public,
Los Angeles Southwest College - STAT - 205
STAT 205 Fall 2007 Exam 1Name:_ANSWER KEY_s2 =i =1n( yi y ) 2 (n 1)P{E1 U E2} = P{E1} + P{E2} P{E1 E2} P{E1 E2} = P{E1}P{E2| E1}Y = yi P{Y = yi} Y2 = (yi Y)2 P{Y = yi} = E(Y2) (E(Y)2P{Y = j} = nCj pj (1 p)n-j Y = np Y2 = np(1
Los Angeles Southwest College - STAT - 205
STAT 205 Fall 2007 Exam 3Name:_~Z p 21 2 Y + Z ~ (1 - ~ ) p p 2 2 p where ~ = 2 2 n + Z n + Z22p p ( ~1 - ~2 ) Z 2~ (1 - ~ ) ~ (1 - ~ ) p1 p1 p p2 Y + 1 Y2 + 1 p p - where ~1 - ~2 = 1 + 2 n1 + 2 n2 + 2 n1 + 2 n2 + 2n2 Z p 0 (1
Los Angeles Southwest College - STAT - 205
STAT 205: Elementary Statistics for the Biological and Life Sciences Spring 2009 Section 2 M W F 9:05 9:55 in Sloan 105 Section 3 M W F 11:15 12:05 in BS 463Instructor Information: Leslie Hendrix Office LeConte 219B E-mail leslieahendrix@gmail.c
Los Angeles Southwest College - STAT - 205
STAT 205 Fall 2007 Exam 1Name:_s2 =i =1n( yi - y ) 2 (n - 1)P{E1 U E2} = P{E1} + P{E2} P{E1 E2} P{E1 E2} = P{E1}P{E2| E1}Y = yi P{Y = yi} Y2 = (yi Y)2 P{Y = yi} = E(Y2) (E(Y)2P{Y = j} = nCj pj (1 p)n-j Y = np Y2 = np(1 p)Z=
Los Angeles Southwest College - STAT - 205
STAT205 Exam2Name_ANSWERKEY_ Fall2006 PY j Z Y tnCjpj 1pnjY n s2 nY s n Y1 Y2 tt22 s1 n12 s2 n2Y1 Y2 0 s2 1 n1 s2 2 n2 Part I: Answer eight of the following nine questions. If you complete more than eig
Los Angeles Southwest College - STAT - 205
STAT 205 Fall 2006 Final Exam~Z p Name:_21 2 Y + Z ~ (1 ~ ) p p 2 2 where ~ = p 2 2 n + Z n + Z22p p ( ~1 ~2 ) Z 2~ (1 ~ ) ~ (1 ~ ) p1 p1 p p2 Y + 1 Y2 + 1 where ~1 ~2 = 1 + 2 p p n1 + 2 n2 + 2 n1 + 2 n2 + 2(Oi Ei ) 2 E i =
Los Angeles Southwest College - STAT - 205
STAT 205 Fall 2006 Exam 1Name:_s2 =i =1n( yi y ) 2 (n 1)P{E1 U E2} = P{E1} + P{E2} P{E1 E2} P{E1 E2} = P{E1}P{E2| E1}Y = yi P{Y = yi} Y2 = (yi Y)2 P{Y = yi} = E(Y2) (E(Y)2P{Y = j} = nCj pj (1 p)n-j Y = np Y2 = np(1 p)Z=(
Los Angeles Southwest College - STAT - 205
STAT 205 Fall 2006 Final Exam~Z p Name:_ANSWER KEY_21 2 Y + Z ~ (1 ~ ) p p 2 2 where ~ = p 2 2 n + Z n + Z22p p ( ~1 ~2 ) Z 2~ (1 ~ ) ~ (1 ~ ) p1 p1 p p2 Y + 1 Y2 + 1 where ~1 ~2 = 1 + 2 p p n1 + 2 n2 + 2 n1 + 2 n2 + 2(Oi Ei
Los Angeles Southwest College - STAT - 205
STAT 205: Elementary Statistics for the Biological and Life Sciences Fall 2008 Section 2 M W F 9:05 9:55 in Currell 203 Section 4 M W F 11:15 12:05 in Sumwalt 213Instructor Information: Leslie Hendrix Office LeConte 219B E-mail lesliehendrix@yma
Los Angeles Southwest College - STAT - 205
STAT 205 Spring 2007 Exam 1Name:_ANSWER KEY_s2 =i =1n( yi y ) 2 (n 1)P{E1 U E2} = P{E1} + P{E2} P{E1 E2} P{E1 E2} = P{E1}P{E2| E1}Y = yi P{Y = yi} Y2 = (yi Y)2 P{Y = yi} = E(Y2) (E(Y)2P{Y = j} = nCj pj (1 p)n-j Y = np Y2 = np
Los Angeles Southwest College - STAT - 205
STAT 205 Fall 2007 Exam 2Name:_P{Y = j} = nCj pj (1 p)n-jY Z=nY ts2nt=Y s n(Y1 Y2 ) t22 s12 s 2 + n1 n2t=(Y1 Y2 ) 02 s12 s 2 + n1 n2Part I: Answer eight of the following nine questions. If you complete more th
Los Angeles Southwest College - STAT - 205
M W F M W F M W F M W F M W F M W F M W F M W F M W F M W F M W FDate 12Jan 14Jan 16Jan 19Jan 21Jan 23Jan 26Jan 28Jan 30Jan 2Feb 4Feb 6Feb 9Feb 11Feb 14Feb 16Feb 18Feb 20Feb 23Feb 25Feb 27Feb 2Mar 4Mar 6Mar 9Mar 11Mar 13Mar 16Mar 18Mar 20Mar 23Mar
Los Angeles Southwest College - STAT - 205
STAT 205 Fall 2007 Exam 3Name: ANSWER KEY_~Z p 21 2 Y + Z ~ (1 - ~ ) p p 2 2 p where ~ = 2 2 n + Z n + Z222 p p ( ~1 - ~2 ) Z 2~ (1 - ~ ) ~ (1 - ~ ) p1 p1 p p2 Y + 1 Y2 + 1 p p - where ~1 - ~2 = 1 + 2 n1 + 2 n2 + 2 n1 + 2 n2 + 2n
Los Angeles Southwest College - STAT - 205
STAT 205 Spring 2007 Final Exam~Z p Name:_21 2 Y + Z ~ (1 - ~ ) p p 2 2 where ~ = p 2 2 n + Z n + Z22p p ( ~1 - ~2 ) Z 2~ (1 - ~ ) ~ (1 - ~ ) p1 p1 p p2 Y + 1 Y2 + 1 where ~1 - ~2 = 1 + 2 p p - n1 + 2 n2 + 2 n1 + 2 n2 + 2(Oi - Ei )
Los Angeles Southwest College - STAT - 205
STAT 205 Fall 2007 Exam 2Name:_ANSWER KEY_P{Y = j} = nCj pj (1 p)n-jY Z=nY ts2nt=Y s n(Y1 Y2 ) t22 s12 s 2 + n1 n2t=(Y1 Y2 ) 02 s12 s 2 + n1 n2Part I: Answer eight of the following nine questions. If you compl
Los Angeles Southwest College - STAT - 701
Statistics 701 Using PROC ANOVA in SAS to Perform ANOVA and Multiple Comparisons (Source of Notes: SAS Online Manual) Comparing Group Means with PROC ANOVA and PROC GLM When you have more than two means to compare, an F test in PROC ANOVA or PROC GLM
Los Angeles Southwest College - STAT - 701
Stat 701 Handout Matrix Computations Using PROC IML in SAS The following is an implementation of the computations in the lecture example using PROC IML in SAS. The SAS Program:proc iml; /* Defining the design matrix, X */ X={1 85 22, 1 83 23, 1 88 2
Los Angeles Southwest College - STAT - 701
Stat 701 Factorial Studies Analysis of Hay Fever Data Using SAS Program /* Hay Fever Drug Development */ options ls = 80; data hay; input relief FactorA \$ FactorB \$ RepNum @; cards; 2.4 1 1 1 2.7 1 1 2 2.3 1 1 3 2.5 1 1 4 4.6 1 2 1 4.2 1 2 2 4.9 1 2
Los Angeles Southwest College - STAT - 701
Statistics 701 Multiple Regression ApplicationResponse Variable: BodyFat Predictor Variables: 1. 2. 3. 4. 5. 6. 7. AbdoCirc Weight WristCirc ForeArmCirc Height NeckCirc ChestCircOutput from MinitabRegression Analysis The regression equation is Pe
Los Angeles Southwest College - STAT - 701
Stat 701 Handout on Binary Logistic Regression The Study Of Interest (Example on page 575 of text): The data provided below is from a study to assess the ability to complete a task within a specified time pertaining to a complex programming problem,
Los Angeles Southwest College - STAT - 701
Statistics 701 Extra Sum of Squares Data Set: Alcohol from Wine (X) and Heart Attack Deaths (Y)Results of Fitting a Simple Linear Regression Model Regression AnalysisThe regression equation is HrtAttRate = 261 - 23.0 AlcFrmWine Predictor Constant
Los Angeles Southwest College - STAT - 701
Stat 701 Single-Factor Analysis of VarianceData Set: Iris Color and Critical Flicker Frequency (CFF)Dotplots of CFF by IrisColo(group means are indicated by lines)30 29 28CFF27 26 25 24BrownBoxplots of CFF by IrisColo(means are indicated
Los Angeles Southwest College - STAT - 701
Statistics 700 Handout Comparing Means of Several Populations Analysis of Variance Situation: If a supermarket product is offered at a reduced price frequently, do customers expect the price of the product to be lower in the future? This question was
Los Angeles Southwest College - M - 142
Los Angeles Southwest College - M - 142
MARK BOX Problem Points 1 10 2 10 3 40 4 20 5 20 Total 100MATH 142 sections 004 &amp; 005 FALL 1993 EXAM # 2NAME: SSN:Instructions: (1) To receive credit, you must work in a logical fashion, SHOW ALL YOUR WORK, INDICATE YOUR REASONING, and when app
Los Angeles Southwest College - M - 550
MATH 550 MARK BOX SPRING 1993 Problem Points FINAL EXAM 1 10 2 10 Prof. Girardi 3 10 4 10 5 15 6 15 NAME: 7 15 8 15 SSN: Total 100 Instructions: 1 To receive credit, you must work in a logical fashion, show all your work, and either box your answer o
Los Angeles Southwest College - M - 142
Los Angeles Southwest College - M - 550
MARK BOX Problem Points You 1 20 MATH 550 SPRING 1993 EXAM 1 2 20 3 20 NAME: 4 20 5 20 SSN: Total 100 Instructions: 1 To receive credit, you must work in a logical fashion, show all your work, and either box your answer or when applicable put your an
Los Angeles Southwest College - M - 142
Commonly Used Taylor Seriesseries 1 1xwhen is valid/true= =1 + x + x2 + x3 + x4 + . . .note this is the geometric series. just think of x as rxnn=0x (1, 1)ex=x x x 1 + x + + + + . 2! 3! 4! xn n! n=0234so: e=1+1+ e(1
Los Angeles Southwest College - M - 550
MARK BOX problem points 1 ac 16 2 ae 16 3 16 4 ae 16 5 16 6 16 bonus 4 Total 100Math 550A Spring 98 5/2/98Prof. Girardi Final ExamNAME:INSTRUCTIONS: 1. To receive credit you must: a. work in a logical fashion, show all your work, indicate you
Los Angeles Southwest College - M - 550
MARK BOX Problem Points 1 25 2 25 3 25 4 25 Total 100MATH 550 NAME: SSN:SPRING 1995EXAM 1Instructions: (1) To receive credit you must work in a logical fashion, SHOW ALL YOUR WORK, INDICATE YOUR REASONING, and when applicable put your answer
Los Angeles Southwest College - M - 142
Los Angeles Southwest College - M - 142
Prof. GirardiMath 142Fall 200609.19.06Exam 1MARK BOX problem points 1 aj 10 2 10 3aExtra Credit (1) 3b 10 3c 10 3d 10 4 10 5 10 6 10 7 10 8 10 % 100NAME (printed):SIGNATURE:please check the box of your section below Section 005 (W&amp;F 8
Los Angeles Southwest College - M - 142
Los Angeles Southwest College - CSCE - 210
CHAPTER 1: Computer SystemsThe Architecture of Computer Hardware and Systems Software:An Information Technology Approach 3rd Edition, Irv Englander John Wiley and Sons 2003Wilson Wong, Bentley College Linda Senne, Bentley CollegeTypical Compute
Los Angeles Southwest College - CSCE - 790
Shape Matching using Shape Context in the Presence of NoisePrasanth KalakotaDepartment of Computer Science, College of Engineering, University of South Carolina, Columbia, USA kalakota@cse.sc.eduAbstract. A new method is proposed for shape matchi
Los Angeles Southwest College - CSCE - 790
Multiple Shape Correspondence and Statistical Shape Modeling through Landmark SlidingAnup KediaDepartment of Computer Science and Engineering University of South Carolina, Columbia, SC 29208, U.S.A kediaa@cse.sc.eduAbstract. We propose a novel ap
Los Angeles Southwest College - CSCE - 790
Tree Structure Extraction in Vascular Images Using Edge Detecting Trace AlgorithmsMarc LockhartDept. of Computer Science &amp; Engineering University Of South Carolina, Columbia SC 29208Abstract. An edge detection-based vessel tracing algorithm is pr
Los Angeles Southwest College - CSCE - 790
Experimental Study on Shape Retrieval Using QPIALAnanda MondalComputer Science and Computer Engineering, University of South Carolina Columbia, SC 29208, USA ammondal@cse.sc.eduAbstract. An experimental investigation on shape retrieval using Quad