Tuesday Thursday Saturday Friday Sunday Thursday Sunday Sunday Saturday Monday Wednesday Monday Wednesday Friday Monday Saturday Wednesday Tuesday Monday Monday Wednesday Monday Monday Thursday Friday 113 113 Saturday Friday Friday Tuesday Monday Sunday Sunday Friday Saturday Saturday Sunday Monday Tuesday Monday Saturday Saturday Tuesday Sunday Wednesday Monday Sunday Thursday Monday Thursday Tuesday 1336 0718 0803 0111 1138 0118 1317 1916 1032 0632 1458 1957 2131 0237 1308 1536 1516 1715 0150 0823 1717 0549 0340 0759 1532 Saturday Sunday Wednesday Tuesday Thursday Wednesday Sunday Thursday Sunday Tuesday Thursday Thursday Thursday Saturday Sunday Tuesday Thursday Sunday Tuesday Thursday Saturday Friday Thursday Saturday Tuesday 1021 1039 0705 1016 0806 0823 1427 2256 1734 1316 0645 0737 0321 0503 1118 1300 2010 2301 0431 0210 1928 0628 1606 1711 2119 Monday Thursday Sunday Tuesday Saturday Wednesday Sunday Saturday Monday Wednesday Sunday Tuesday Wednesday Friday Saturday Monday Wednesday Wednesday Sunday Tuesday Saturday Friday Friday Friday Thursday 1342 0601 1053 0945 0305 0704 1110 0541 0520 0636 1406 1612 0700 1501 0633 0330 0943 1129 0436 1731 1500 1325 1631 1311 1850 0116 1331 1125 0010 0439 2128 1342 2109 2144 1709 0741 0157 1744 1025 0212 1719 2303 1708 2047 1326 1839 2056 1443 0907 16 17 0634 16 17 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- SUNDAY: SUNDAY: 112 112 139 139 121 121 127 127 126 126 105 105 104 104 119 119 116 116 124 124 113 113 132 132 119 119 118 118 116 116 105 105 123 123 118 118 131 131 131 131 105 105 102 102 129 129 109 109 134 134 116 116 124 124 116 116 116 116 111 111 118 118 111 111 132 132 134 134 113 113 128 128 108 108 141 141 119 119 108 108 122 122 115 115 106 106 126 126 118 118 138 138 134 134 117 117 121 121 91 91 123 123 118 118 125 125 104 104 142 142 130 130 130 130 101 101 118 118 126 126 127 127 111 111 124 124 111 111 121 121 116 116 135 135 134 134 110 110 90 90 129 129 138 138 117 117 127 127 116 116 105 105 114 114 126 126 126 126 145 145 110 110 106 106 128 128 116 116 113 113 114 114 119 119 120 120 110 110 111 111 138 138 138 138 MONDAY: MONDAY: 110 110 TUESDAY: TUESDAY: 102 102 WEDNESDAY: WEDNESDAY: 136 136 THURSDAY: THURSDAY: 132 132 FRIDAY: FRIDAY: 127 127 SATURDAY: SATURDAY: 107 107 CHAPTER 8 – Multidimensional Arrays 12 12 Saturday Monday Tuesday Thursday Monday Friday Monday Saturday Saturday Saturday Wednesday Saturday Sunday Friday Saturday Saturday Tuesday Sunday Saturday Tuesday Thursday Thursday Wednesday Thursday 13 14 15 13Tuesday 14 15 0 0 23 23 ----- 2100 1116 0159 1339 1602 0156 0446 1816 0829 1414 0414 0310 2001 1201 1008 1830 1911 1921 2055 2354 1640 2359 0603 0801 1557 Friday 1905 Friday 0404 Thursday 2038 Wednesday 0419 Tuesday 1325 Monday 0537 Tuesday 1708 Monday 1503 Monday 2200 Wednesday 2126 Tuesday 2221 Thursday 2048 Monday 1910 Wednesday 0032 Monday 0823 Thursday 2305 Sunday 2216 Saturday 2029 Friday 0800 Monday 0841 Tuesday 0834 Monday 0407 20 21 22 20 21 22 Monday 0439 Tuesday 0737 ----- ----- ----Wednesday 1902 18 18 19 19 ----- ----- ----- 117 117 124 124 117 117 108 108 140 140 112 112 113 113 124 124 127 127 133 133 111 111 126 126 128 128 123 123 105 105 127 127 117 117 117 117 125 125 90 90 103 103 130 130 108 108 97 97 137 137 120 120 120 120 128 128 121 121 124 124 125 125 117 117 111 111 114 114 113 113 120 120 143 143 100 100 127 127 109 109 126 126 108 108 118 118 126 126 107 107 110 110 120 120 117 117 125 125 127 127 133 133 121 121 118 118 130 130 105 105 113 113 108 108 105 105 122 122 130 130 101 101 126 126 108 108 133 133 111 111 133 133 133 133 93 93 92 92 8
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A Matrix Organization Functional authority Project authority President President Farm FarmMachinery Machinery Division Division Production Production department department Legal Legal department department Engineering Engineering department department Accounting Accounting department department Project Project Alpha Alpha manager manager Production Production support support group group Legal Legal support support group group Engineering Engineering support support group group Accounting Accounting support support group group Project Project Beta Beta manager manager Production Production support support group group Legal Legal support support group group Engineering Engineering support support group group Accounting Accounting support support group group Project Project Gamma Gamma manager manager Production Production support support group group Legal Legal support support group group Engineering Engineering support support group group Accounting Accounting support support group group
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Expected Counts in Two-Way Tables Finding the expected counts is not that difficult, as the following example illustrates. The overall proportion of French wine bought during the study was 99/243 = 0.407. So the expected counts of French wine bought under each treatment are: 99 99 experiment is that there’s no 99 The null: hypothesis in theFrench wine and music No music ×84 =34.22 music : ×75 =30.56 Italian music : ×84 =34.22 243 243 243 difference in the distribution of wine purchases in the store when no music, French accordion music, or Italian string music is played. To find the proportion expected counts, wewine startbought by assuming thatstudy H0 is was true.31/243 We can=see The overall of Italian during the 0.128. So two-way the expected wine bought under each treatment from the table counts that 99ofofItalian the 243 bottles of wine bought during theare: study were 31 French wines. French music : 31 ×75 =9.57 Italian music : 31 ×84 =10.72 No music : ×84 =10.72 243 243 243 If the specific type of music that’s playing has no effect on wine purchases, the proportion of French The overall proportion of Other wine bought during the study was 113/243 = wine sold under each music 0.465. So the expected countscondition of Other wine bought under each treatment are: should be113 99/243 = 0.407. 113 113 No music : 243 ×84 =39.06 French music : 243 ×75 =34.88 Italian music : 243 ×84 =39.06 12
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Expected Counts in Two-Way Tables 9 Finding the expected counts is not that difficult, as the following example illustrates. The overall proportion of French wine bought during the study was 99/243 = 0.407. So the expected counts of French wine bought under each treatment are: 99 99 experiment is that there’s no 99 The null: hypothesis in theFrench wine and music No music ×84 =34.22 music : ×75 =30.56 Italian music : ×84 =34.22 243 243 243 difference in the distribution of wine purchases in the store when no music, French accordion music, or Italian string music is played. To find the proportion expected counts, wewine startbought by assuming thatstudy H0 is was true.31/243 We can=see The overall of Italian during the 0.128. So two-way the expected wine bought under each treatment from the table counts that 99ofofItalian the 243 bottles of wine bought during theare: study were 31 French wines. 31 31 No music : 243 ×84 =10.72 French music : ×75 =9.57 Italian music : ×75 =34.88 Italian music : 243 243 ×84 =10.72 If the specific type of music that’s playing has no effect on wine purchases, the proportion of French The overall proportion of Other wine bought during the study was 113/243 = wine sold under each music 0.465. So the expected countscondition of Other wine bought under each treatment are: should be113 99/243 = 0.407. 113 113 No music : 243 ×84 =39.06 French music : 243 243 ×84 =39.06
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Expected Counts in Two-Way Tables 12 Finding the expected counts is not that difficult, as the following example illustrates. The overall proportion of French wine bought during the study was 99/243 = 0.407. So the expected counts of French wine bought under each treatment are: 99 99 experiment is that there’s no 99 The null: hypothesis in theFrench wine and music No music ×84 =34.22 music : ×75 =30.56 Italian music : ×84 =34.22 243 243 243 difference in the distribution of wine purchases in the store when no music, French accordion music, or Italian string music is played. To find the proportion expected counts, wewine startbought by assuming thatstudy H0 is was true.31/243 We can=see The overall of Italian during the 0.128. So two-way the expected wine bought under each treatment from the table counts that 99ofofItalian the 243 bottles of wine bought during theare: study were 31 French wines. 31 31 No music : 243 ×84 =10.72 French music : ×75 =9.57 Italian music : ×75 =34.88 Italian music : 243 243 ×84 =10.72 If the specific type of music that’s playing has no effect on wine purchases, the proportion of French The overall proportion of Other wine bought during the study was 113/243 = wine sold under each music 0.465. So the expected countscondition of Other wine bought under each treatment are: should be113 99/243 = 0.407. 113 113 No music : 243 ×84 =39.06 French music : 243 243 ×84 =39.06
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PRAIRIE VIEW A&M UNIVERSITY Colleges and Departments College Of Agriculture & Human Sciences Department of Agriculture Department of Human Sciences School of Architecture College Of Arts & Sciences Department of Music and Drama Department of Biology Department of Chemistry Department of English, Foreign Languages and Communications Department of Mathematics Department of Physics & High Energy Physics Department of Army ROTC Department of Navy ROTC Department of Social and Political Science College Of Business Department of Accounting/Information Systems Department of Management/Marketing College Of Education Department of Curriculum and Instruction Department of Health and Human Performance Department of Industrial Technology Department of School Services College Of Engineering Department of Chemical Engineering Department of Civil Engineering Department of Computer Science Department of Electrical Engineering Department of Mechanical Engineering Department of Engineering Technology College Of Nursing Cooperative Extension Program Graduate School
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Fine Arts: Music • Minors – Music (General) – Music Technology – Jazz Idiom • Vocal Ensemble – Michigan Tech Concert Choir • Instrumental Ensembles – Keweenaw Symphony Orchestra – Wind Symphony – Research & Development Jazz Band – Jazz Lab Band – The Huskies Pep Band – Campus Concert Band – Chamber Music Seminar
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Universities that Employ Fellowship Alumni •Auburn Univesity •Arizona State University •Boston University •California Institute of Technology •Careton College •Carnegie Mellon University •Clark Atlanta University •City College of New York •Cornell University •Dartmouth College •Duke University •Florida A&M University •Georgetown University •Georgia Institute of Technology •Harvard University •Hiriam College •Hofstra University •Howard University •James Madison University •Loyola University •Massachusetts Institute of Technology •Morehouse College •Morgan State University •North Carolina A&T University •Northeastern University •New Jersey Institute of Technology •New Mexico State University •Oberlin College •Oregon State University •Pennslyvania State University •Polytechnic University •Pomonoa College •Princeton University •Rutgers University •Smith College •Spelman College •Stanford University •Texas A&M •University of California --Berkeley, Davis, Irvine, San Diego •University of Chicago •University of Dayton •University of Maryland--Balitmore County, College Park •University of Massachusetts--Lowell •University of Michigan •University of Nebraska •University of Pittsburgh •University of Puerto Rico •University of Texas--Austin •University of Washington •University of Wisconsin--Madison •Vassar •Wesleyan •Williams College •Yale University Copyright © 2002 AT&T All Rights Reserved
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International Linkages •Australia • Macquarie University •Chile • Pontificia Universidad Catolica de Chile •China • Beijing Normal University • China University of Mining and Technology • Hebei University • Nanjing Medical University • Southwest University of Political Science and Law • Tonji University • University of Hong Kong •Denmark • Copenhagen Business School •England • Kingston University • Lancaster University • Manchester Metropolitan University • University of Kent at Canterbury •France • Ecole National Superieure de Ceramique Industrielle • EDHEC Business School • University d’Artois • University of Jean Moulin Lyon III • University of Limoges •Germany • University of Heidelberg • Fachhochschule Aachen • Paedagogische Hochschule Ludwigsburg • Zeppelin University •Italy • University of Bari •Japan • Gakushuin University • Nagoya University of Foreign Studies • Oberlin University • Oita University • Sophia University • Tokyo University of Science & Technology •Korea • Hong-IK University •Mexico • Tecnologico de Monterrey www.oip.uncc.edu/links •Netherlands • Technical University of Delft • University of Amsterdam •Peru • Catholic University of Santa Maria •Poland • University of Wroclaw • Academy of Art & Design in Wroclaw •Scotland • University of Aberdeen •South Africa • Stellenbosch University •Spain • University of Cantabria • Universitat Jaume I •Sweden • Orebro University •Taiwan • National Kaohsiung Normal University •United Arab Emirates • United Arab Emirates University
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2014 Membership • • • • • • • • • • • • • • • • • • • AlabamaView Auburn University AlaskaView University of Fairbanks – Alaska ArkansasView University of Arkansas—Fayetteville CalView University of California – Davis ColoradoView Colorado State University GeorgiaView University of West Georgia HawaiiView University of Hawaii IdahoView University of Idaho IndianaView Purdue University IowaView Iowa State University KansasView University of Kansas KentuckyView Murray State University LouisianaView University of Louisiana—Lafayette MarylandView Towson University MichiganView Michigan Tech Research Institute MinnesotaView University of Minnesota MississippiView University of Mississippi MontanaView Montana State University NebraskaView University Of Nebraska—Lincoln • New HampshireView University of New Hampshire • New YorkView State University of New York • New MexicoView New Mexico State University • North Carolina View East Carolina University • North Dakota ViewUniversity of North Dakota • OhioView University of Miami • PennsylvaniaView California University of Pennsylvania • South Dakota ViewSouth Dakota State University • TexasView Stephen F. Austin State University • UtahView Utah State University • VermontView University of Vermont • VirginiaViewVirginia Polytechnic • West VirginiaView West Virginia University • WisconsinView University of Wisconsin—Madison • WyomingView University of Wyoming • • • • ConnecticutView University of Connecticut OregonView Oregon State University OklahomaView University of Oklahoma Rhode IslandView University of Rhode Island
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