West Allis Industries x-Chart Example 6.1 © 2007 Pearson Education Sample the process Find the assignable cause Eliminate the problem Repeat the cycle
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Seventh Vector Mechanics for Engineers: Dynamics Contents Introduction Work of a Force Principle of Work & Energy Applications of the Principle of Wor k & Energy Power and Efficiency Sample Problem 13.1 Sample Problem 13.2 Sample Problem 13.3 Sample Problem 13.4 Sample Problem 13.5 Potential Energy Conservative Forces Conservation of Energy Motion Under a Conservative Central Force Sample Problem 13.6 Sample Problem 13.7 Sample Problem 13.9 Principle of Impulse and Momentum Impulsive Motion Sample Problem 13.10 Sample Problem 13.11 Sample Problem 13.12 Impact Direct Central Impact Oblique Central Impact Problems Involving Energy and Momentum Sample Problem 13.14 Sample Problem 13.15 Sample Problems 13.16 13 - 2 Sample Problem !3.17 © 2003 The McGraw-Hill Companies, Inc. All rights reserved.
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Samples for the Proteomics Experiment Tissue 1 2 3 4 Treatment Group 1. Before Senescence A 2. After Senescence B 1. Before Senescence C 2. After Senescence D 1. Before Senescence E 2. After Senescence F 1. Before Senescence G 2. After Senescence H Switchgrass Clone # 5 (Early Senescence) Switchgrass Clone # 4 (Late Senescence) Prairie Cordgrass-ND (Early Senescence) Prairie Cordgrass-SD (Late Senescence) Sample# Sample# 1 Sample# 2 Sample# 3 Sample# 4 Sample# 5 Sample# 6 Sample# 7 Sample# 8 Sample# 9 Sample# 10 Sample# 11 Sample# 12 Sample# 13 Sample# 14 Sample# 15 Sample# 16 Sample# 17 Sample# 18 Sample# 19 Sample# 20 Sample# 21 Sample# 22 Sample# 23 Sample# 24
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Cycle 1 Cycle 2 Cycle 3 Cycle 4 Cycle 5 Instr cache Reg file ALU Data cache Reg file Instr cache Reg file ALU Data cache Reg file Reg file ALU Data cache Instr 3 Instr 5 Instr 4 Instr cache Cycle 7 Cycle 8 Cycle 9 Cycle 2 Cycle 3 Writes into $8 Bubble Reg file Task dimension Cycle 4 ALU Bubble Instr cache Reg file Cycle 5 Cycle 6 Reg file Data cache Reg file ALU Data cache Reg file Cycle 8 Cycle 9 Cycle 7 Without data forwarding, three bubbles are needed to resolve a read-after-write data dependency Reads from $8 Time dimension Instr cache Instr 3 Instr 2 Instr 1 Bubble Instr cache Cycle 1 ALU Data cache Reg file Instr cache Reg file ALU Data cache Reg file ALU Data cache Reg file Reg file ALU Data cache Reg file Instr cache Reg file ALU Data cache Bubble Reg file Instr cache Task dimension Writes into $8 Reg file Instr cache Instr 4 Instr 5 Cycle 6 Time dimension Instr 2 Instr 1 Inserting Bubbles in a Pipeline Bubble Two bubbles, if we assume that a register can be updated and read from in one cycle Reads from $8 Reg file Computer Architecture, Data Path and Control Slide 48
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West Allis Industries Example 6.1 West Allis is concerned about their production of a special metal screw used by their largest customers. The diameter of the screw is critical. Data from five samples is shown in the table below. Sample size is 4. Is the process in statistical control? © 2007 Pearson Education
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MORE CHARTS TYPES Stacked Column Chart 100% Stacked Column Chart 3-D Column Chart Bar Chart Line Chart Area Chart X Y (Scatter) Chart Stock Chart Surface Chart Doughnut Chart Bubble Chart Radar Chart 8
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XP Modify 3-D chart options • A 3-D chart has several options for modifying the 3-D effect. – Perspective is the illusion that parts of the 3-D chart that are farther away from you decrease in size – Elevation is the illusion that you are looking at the 3-D chart from some particular height—either above or below the chart – You may also rotate the 3-D chart to bring different parts of the chart to the forefront • • • Elevation and rotation are options that you can change with the 3-D View dialog box, available from the Chart menu. Excel creates each 3-D chart with a default elevation, rotation and height. To change the appearance of a 3-D chart once you have created one, make sure it is an active chart then click Chart on the menu bar and then click 3-D View. ‫ﴀ‬New Perspectives on Microsoft Office 2003, Premium Edition Excel Tutorial 4 27
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A More Extensive Pipelining Example Cycle 1 Cycle 2 Cycle 3 Cycle 4 Cycle 5 Cycle 6 Cycle 7 Cycle 8 Clock 0: Load Ifetch Reg/Dec 4: R-type Ifetch Exec Mem Wr Reg/Dec Exec Mem Wr Reg/Dec Exec Mem Wr Ifetch Reg/Dec Exec Mem 8: Store Ifetch 12: Beq (target is 1000) End of Cycle 4 End of Cycle 5 Wr End of End of Cycle 6 Cycle 7 ° End of Cycle 4: Load’s Mem, R-type’s Exec, Store’s Reg, Beq’s Ifetch ° End of Cycle 5: Load’s Wr, R-type’s Mem, Store’s Exec, Beq’s Reg ° End of Cycle 6: R-type’s Wr, Store’s Mem, Beq’s Exec ° End of Cycle 7: Store’s Wr, Beq’s Mem CPE 442 pipeline.36 Intro to Computer Architecture
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Control Charts Process Parameter Sample Statistic Process average  Sample average Process variability σ Sample range or R, or sample standard deviation S R-chart S-chart Process proportion defective p Sample proportion defectives (P) P-chart Process defects per unit (c) Sample defects per unit (C) C-chart 03/22/2019 rd Name of Chart X X -chart 8
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Review: Single Cycle, Multiple Cycle, vs. Pipeline Cycle 1 Cycle 2 Clk Single Cycle Implementation: Load Store Waste Cycle 1 Cycle 2 Cycle 3 Cycle 4 Cycle 5 Cycle 6 Cycle 7 Cycle 8 Cycle 9 Cycle 10 Clk Multiple Cycle Implementation: Load Ifetch Reg Exec Mem Wr Exec Mem Wr Reg Exec Mem Store Ifetch Reg Exec Mem R-type Ifetch Pipeline Implementation: Load Ifetch Reg Store Ifetch R-type Ifetch CPE 442 hazards.2 Reg Exec Wr Mem Wr Introduction to Computer Architecture
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Single Cycle, Multiple Cycle, vs. Pipeline Cycle 1 Cycle 2 Clk Single Cycle Implementation: Load Store Waste Cycle 1 Cycle 2 Cycle 3 Cycle 4 Cycle 5 Cycle 6 Cycle 7 Cycle 8 Cycle 9 Cycle 10 Clk Multiple Cycle Implementation: Load Ifetch Reg Exec Mem Wr Exec Mem Wr Reg Exec Mem Store Ifetch Reg Exec Mem R-type Ifetch Pipeline Implementation: Load Ifetch Reg Store Ifetch R-type Ifetch CPE 442 pipeline.44 Reg Exec Wr Mem Wr Intro to Computer Architecture
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Single Cycle, Multiple Cycle, vs. Pipeline Cycle 1 Cycle 2 Clk Single Cycle Implementation: Load Store Waste Cycle 1 Cycle 2 Cycle 3 Cycle 4 Cycle 5 Cycle 6 Cycle 7 Cycle 8 Cycle 9 Cycle 10 Clk Multiple Cycle Implementation: Load Ifetch Reg Exec Mem Wr Store Ifetch Reg Exec Mem R-type Ifetch Pipeline Implementation: Load Ifetch Reg Store Ifetch Exec Mem Wr Reg Exec Mem R-type Ifetch CSE 45432 SUNY New Paltz Reg Exec Wr Mem Wr 7
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SAMPLE TITLE FOR PPT POSTER Author Names Department Name University of Illinois College of Medicine at Peoria Introduction/Background Conclusions • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Methods • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Results • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX •• XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX References Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration
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SAMPLE TITLE FOR PPT POSTER Author Names Department Name University of Illinois College of Medicine at Peoria Introduction/Background Conclusions • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Methods • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Results • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX •• XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX References Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration
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SAMPLE TITLE FOR PPT POSTER Author Names Department Name University of Illinois College of Medicine at Peoria Introduction/Background Conclusions • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Methods • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Results • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX •• XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX References Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration
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SAMPLE TITLE FOR PPT POSTER Author Names Department Name University of Illinois College of Medicine at Peoria Introduction/Background Conclusions • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Methods • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Chart/Graph/Photo/Illustration • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Results • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX •• XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX • XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX References Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration Chart/Graph/Photo/Illustration
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In the diagramed deal, five diamonds doubled was the contract at both tables. In the other room, North opened two diamonds! After Rengstorff (East) passed, South responded two spades, and Krekorian (West) overcalled three hearts. North was still there with four clubs; East raised to four hearts; South bid five diamonds; West doubled; and all passed. East led the heart king. The best play was to ruff that in hand, play a spade to the ace, ruff a spade, ruff a club and basically continue with a crossruff. That would have led to down one. But North won with dummy’s heart ace and discarded his spade queen. Then he ruffed a heart; ruffed a club, bringing down West’s ace; and cashed the diamond ace, getting the bad news. Now came the spade ace, a heart ruff and a club ruff. At this point, if West had overruffed and cashed his two trump winners, it would have resulted in down three, because East had the club queen. But West, defending carefully, discarded. Declarer could take only one more trick by trumping a card. West then ruffed the club king, drew trumps and claimed down three. In the given auction, Woods (North) bid four no-trump to ask his partner to choose a minor. West led the heart jack. Lev (South) started correctly, ruffing in the dummy, playing a spade to his ace, ruffing a spade, ruffing a club, ruffing a spade and ruffing a club with the diamond nine. West overruffed and returned a heart, South winning with his ace, ruffing the spade six and discarding a heart on the club king. West ruffed to give this position: West correctly led the diamond king, which should have resulted in down two, but when declarer won with his ace and played the spade five, West erred by discarding. Now South could lead another spade and score dummy’s diamond ten with a coup en passant for down one.
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commentary exposition interpretation In the diagramed deal, five diamonds doubled was the contract at both tables. In the other room, North opened two diamonds! After Rengstorff (East) passed, South responded two spades, and Krekorian (West) overcalled three hearts. North was still there with four clubs; East raised to four hearts; South bid five diamonds; West doubled; and all passed. East led the heart king. The best play was to ruff that in hand, play a spade to the ace, ruff a spade, ruff a club and basically continue with a crossruff. That would have led to down one. But North won with dummy’s heart ace and discarded his spade queen. Then he ruffed a heart; ruffed a club, bringing down West’s ace; and cashed the diamond ace, getting the bad news. Now came the spade ace, a heart ruff and a club ruff. At this point, if West had overruffed and cashed his two trump winners, it would have resulted in down three, because East had the club queen. But West, defending carefully, discarded. Declarer could take only one more trick by trumping a card. West then ruffed the club king, drew trumps and claimed down three. In the given auction, Woods (North) bid four no-trump to ask his partner to choose a minor. West led the heart jack. Lev (South) started correctly, ruffing in the dummy, playing a spade to his ace, ruffing a spade, ruffing a club, ruffing a spade and ruffing a club with the diamond nine. West overruffed and returned a heart, South winning with his ace, ruffing the spade six and discarding a heart on the club king. West ruffed to give this position: West correctly led the diamond king, which should have resulted in down two, but when declarer won with his ace and played the spade five, West erred by discarding. Now South could lead another spade and score dummy’s diamond ten with a coup en passant for down one.
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Computing the F-Test Statistic Step 1: Compute the sample mean of the combined data set by adding up all the observations and dividing by the number of observations. Call this value x . Step 2: Find the sample mean for each sample (or treatment). Let x1 represent the sample mean of sample 1, x2 represent the sample mean of sample 2, and so on. Step 3: Find the sample variance for each sample (or 2 treatment). Let s1 represent the sample 2 s variance for sample 1, 2 represent the sample variance for sample 2, and so on. 13-21 Copyright © 2013, 20 and 2007 Pearson Education, Inc.
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Proportion defective in sample p-Chart Wrong Account Numbers 0.011 0.010 0.009 0.008 0.007 0.006 0.005 0.004 0.003 0.002 0.001 0 UCL     1 2 3 p Measure the process Find the assignable cause Eliminate the problem LCL Repeat the cycle 4 5 6 7 8 9 Sample number 10 11 12 13
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XP Create 3-D charts • To create a 3-D chart, you may choose to do so during the first step of the Chart Wizard, as three-dimensional charts are sub-types of most other charts, such as the pie chart. • To change a chart to a 3-D chart, select the chart, click Chart on the menu bar, and then click Chart Type. • Choose the 3-D option sub-type of whichever chart type you prefer. • There are also several 3-D charts on the Custom Types tab of the Chart Type dialog box. ‫ﴀ‬New Perspectives on Microsoft Office 2003, Premium Edition Excel Tutorial 4 26
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West Allis Industries R-chart Control Chart Factors Example 6.1 Factor Size of for Sample Charts (n) Factor for UCL Factor for and LCL for LCL for x-Charts R-Charts (A2) (D3) 2 1.880 0 3.267 3 1.023 0 R = 0.0021 2.575 4 0.729 0 D4 = 2.282 2.282 5 0.577 0 UCLR = D4R = 2.282 (0.0021) = 0.00479 in. D3 = 0 2.115 LCLR = D3R 0.483 0 (0.0021) = 0 in. 0 © 2007 Pearson Education 6 2.004 UCL R(D4)
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West Allis Industries x-chart Control Chart Factor Example 6.1 Factor Size of for Sample Charts (n) Factor for UCL Factor for and LCL for LCL for x-Charts R-Charts (A2) (D3) 2 1.880 0 3.267 3 1.023 0 R = 0.0021 A2 = 0.729 =x = 0.5027 2.575 0.729+ 0.729 (0.0021) 0= 0.5042 in. UCLx4= x= + A2R = 0.5027 2.282 = LCLx 5= x - A2R = 0.5027 0.577– 0.729 (0.0021) =0 0.5012 in. © 2007 Pearson Education 2.115 UCL R(D4)
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Types of Samples LO3 Probability Probability Samples Samples Non-Probability Non-Probability Samples Samples Simple SimpleRandom Random Sample Sample Convenience Convenience Sample Sample Stratified Stratified Sample Sample Judgment Judgment Sample Sample Cluster Cluster Sample Sample Quota Quota Sample Sample Systematic Systematic Sample Sample Snowball Snowball Sample Sample 33
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