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### 04_069

Course: VHM 801, Fall 2009
School: UPenn
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Word Count: 133

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4.69 ------------- Minitab Exercise commands for computation of mean and standard deviation: MTB &gt; Set c1 DATA&gt; 1( 540 545 550 555 560 )1 DATA&gt; End. MTB &gt; name c1 'temp_C' MTB &gt; Set c2 DATA&gt; 1( .1 .25 .3 .25 .1 )1 DATA&gt; End. MTB &gt; name c2 'prob' MTB &gt; let c5=c1*c2 MTB &gt; let k1=sum(c5) MTB &gt; name k1 'mean_C' MTB &gt; let...

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4.69 ------------- Minitab Exercise commands for computation of mean and standard deviation: MTB > Set c1 DATA> 1( 540 545 550 555 560 )1 DATA> End. MTB > name c1 'temp_C' MTB > Set c2 DATA> 1( .1 .25 .3 .25 .1 )1 DATA> End. MTB > name c2 'prob' MTB > let c5=c1*c2 MTB > let k1=sum(c5) MTB > name k1 'mean_C' MTB > let c6=c2*(c1-k1)**2 MTB > let k2=sqrt(sum(c6)) MTB > name k2 'stddev' MTB > k1 print k2 Data Display mean_C 550.000 stddev 5.70088 For questions (b) and (c) we can either use the formulas for means and variances of random variables, or we can do similar calculations in Minitab for the new variables of interest. (b) let Y = X-550, ...

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UPenn - VHM - 801
Exercise 4.70-Two scales for measuring weight. For an item with true weightof 2g, the scales give results: X with mean 2.000g and std.dev. 0.002g, Y with mean 2.001g and std.dev. 0.001g.Also, X and Y are independent.(a) Z = Y-X. EZ = E
UPenn - VHM - 801
Exercise 6.48-Measurements of radon concentrations by a particular type of detectors.Let X_1,.,X_12 denote the 12 measurements.We assume that the observations are i.i.d. (independent and identicallydistributed) with mean mu and standard deviati
UPenn - VHM - 801
Exercise 6.52-A farmer &quot;recognizes&quot; water in 4 trials out of 5.(a) The hypothesis of interest is H0: p=0.5 against the alternative Ha: p&gt;0.5. (It is difficult to imagine that p&lt;0.5, unless there is someerror in the experiment or the farmer mes
UPenn - VHM - 801
Exercise 6.60-In order to obtain a simultaneous error level for all tests of 5%, theBonferroni method uses individual error levels for each test of 5% / 6 = 0.83%.All the listed P-values but 0.008 and 0.001 exceed this value, therefore onlythese
UPenn - VHM - 801
Exercise 7.7-Solution for extended version of exercise 7.7 (not in complete agreementwith the IPS solution).MTB &gt; # Opening worksheet from file: C:\DATA.AVC\teaching\VHM801\DATASETS\CHAP07\EX07_007.DATMTB &gt; # File was last modified on 6/3/98MT
UPenn - VHM - 801
Exercise 10.6-(minitab command for regression and fitted line plot)MTB &gt; # Opening worksheet from file: D:\Data.avc\Teaching\vhm801\DATASETS\CHAP10\Ex10_006.datMTB &gt; # File was last modified on 6/3/98Current worksheet: Ex10_006.datMTB &gt; name
UPenn - VHM - 801
Exercise 10.20:-Linear regression model for Y = intra-arterial measurement of blood pressure x = oscillometric measurement of blood pressurefor 81 premature infants.Estimated regression line: yhat = 15 + 0.83*x.Standard error of the slope =
UPenn - VHM - 801
Exercise 10.28:-Data: Measures of x=monthly income and Y=birth weight for n=40 infants in Kalama (Egypt).Model: (X1,Y1),.,(X40,Y40) are a sample of i.i.d. pairs from a two-dimensional (joint) normal distribution.Estimation: rhohat
UPenn - VHM - 801
Exercise 10.30-Only Minitab commands here are for a plot and a linear regressionanalysis.MTB &gt; # Opening worksheet from file: C:\DATA.AVC\teaching\VHM801\DATASETS\APPENDIX\WOOD.DATMTB &gt; # File was last modified on 6/3/98Current worksheet: WO
UPenn - VHM - 801
Exercise 12.24-A total of N=209 observations, and 3 groups.(a) The pooled variance s^2 and stand.dev. s are calculated ass^2 = (45*2.5^2 + 110*1.8^2 + 51*1.8^2) / (209-3) = 802.89/206 = 3.8975 s = sqrt(3.8975) = 1.97In the ANOVA table, MSE =
UPenn - VHM - 801
Exercise 12.30-Model: X_ij's are normally distributed N(mu_i,sigma) and independent.The values i=1,2,3,4 correspond to treatment (T), control (C), joggers (J) andsedentary (S), respectively.(a) 3 contrasts: (1): psi=mu1-mu2; H0: psi=0, Ha:
UPenn - VHM - 801
Exercise 13.4-(continuation of 13.2)(a)Source DFGender 1Smoking 2G*S 2Error 714Total 719(b)Source DFMixtures 3Cycles 2M*C 6Error 12Total 23(c)So
UPenn - VHM - 801
Exercise 13.12-Minitab commands and comments below:MTB &gt; # Opening worksheet from file: C:\DATA.AVC\teaching\VHM801\DATASETS\CHAP13\EX13_012.DATMTB &gt; # File was last modified on 6/3/98MTB &gt; name c2='species'MTB &gt; name c3='size'MTB &gt; name c4='
UPenn - VHM - 801
Exercise 13.15-Minitab commands with comments:MTB &gt; # Opening worksheet from file: D:\Data.avc\Teaching\vhm801\DATASETS\CHAP13\Ta13_002.datMTB &gt; # File was last modified on 6/3/98MTB &gt; name c2='promotions'MTB &gt; name c3='discount'MTB &gt; name c4
UPenn - VHM - 801
Exercise 13.20-(a)The ANOVA analysis shows no significant interaction, no significant main effectof holder (presence/absence) but clear significant effect of series. With a P-value of 0.17 for the F-test of holder it might be interesting to see
Berkeley - MATH - 2212008
Prof. Ming Gu, 861 Evans, tel: 2-3145 Office Hours: MWF 12:00-2:00PM Email: mgu@math.berkeley.edu http:/www.math.berkeley.edu/mgu/MA2212008FMath221: Matrix Computations Homework #1, Due Sept. 3, 2008 Problems 1.1, 1.3, 1.4, 1.9, 1.10, 1.11. Down
Berkeley - MATH - 2212008
Prof. Ming Gu, 861 Evans, tel: 2-3145 Oce Hours: TuWTh 12:00-1:30PM Email: mgu@math.berkeley.edu http:/www.math.berkeley.edu/mgu/MA2212008FMath221: Matrix Computations Selected Solutions to Homework #1, 2008 Problem 1.9: We will only consider the
Berkeley - MATH - 2212008
Prof. Ming Gu, 861 Evans, tel: 2-3145 Oce Hours: MWF 12:00-2:00PM Email: mgu@math.berkeley.edu http:/www.math.berkeley.edu/mgu/MA2212008FMath221: Matrix Computations Homework #2, Due Sept. 10, 2008 Problems 1.5, 1.6, 1.7, 1.21, 2.1, 2.3, 2.6, 2.1
Berkeley - MATH - 2212008
Prof. Ming Gu, 861 Evans, tel: 2-3145 Office Hours: MWF 12:00-2:00PM Email: mgu@math.berkeley.edu http:/www.math.berkeley.edu/mgu/MA2212008FMath221: Matrix Computations Homework #2 Solutions 2.3: We need relevent vectors in equation (2.1) to have
Berkeley - MATH - 2212008
Prof. Ming Gu, 861 Evans, tel: 2-3145 Office Hours: TuWTh 12:00-1:30PM Email: mgu@math.berkeley.edu http:/www.math.berkeley.edu/mgu/MA2212008FMath221: Matrix Computations Homework #3, Due Sept. 17, 2008 Problems 2.7, 2.8, 2.10, 2.12, 2.13, 2.17,
Berkeley - MATH - 2212008
Prof. Ming Gu, 861 Evans, tel: 2-3145 Oce Hours: TuWTh 12:00-1:30PM Email: mgu@math.berkeley.edu http:/www.math.berkeley.edu/mgu/MA2212008FMath221: Matrix Computations Homework #5, Due Oct. 1, 2008 Problems 2.14, 2.15.
Berkeley - MATH - 2212008
Prof. Ming Gu, 861 Evans, tel: 2-3145 Office Hours: MWF 12:00-2:00PM Email: mgu@math.berkeley.edu http:/www.math.berkeley.edu/mgu/MA2212008FMath221: Matrix Computations Homework #8, Due Oct. 27, 2008 Problems 4.1, 4.2, 4.4, 4.5, 4.6, 4.7, 4.8, 4.
Berkeley - MATH - 2212008
Prof. Ming Gu, 861 Evans, tel: 2-3145 Email: mgu@math.berkeley.edu http:/www.math.berkeley.edu/mgu/MA2212008FMath221: Matrix Computations Homework #12, Due Nov. 24, 2008 Problems 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.10.
Berkeley - MATH - 2212008
Prof. Ming Gu, 861 Evans, tel: 2-3145 Email: mgu@math.berkeley.edu http:/www.math.berkeley.edu/mgu/MA2212008FMath221: Matrix Computations Homework #13, Due Dec. 1, 2008 Problems 6.7, 6.11, 6.13.
Berkeley - MATH - 2212008
Prof. Ming Gu, 861 Evans, tel: 2-3145 Email: mgu@math.berkeley.edu http:/www.math.berkeley.edu/mgu/MA2212008FMath221: Matrix Computations Homework #14, Due Dec. 8, 2008 Let A Rnn be a square matrix. Let H Rnn be the upper Hessenberg matrix obta
Berkeley - MATH - 2212008
Math 221 Final Exam, Dec. 12, 20071. (20 Points) Let A Rnn . Show that Ak A induced norm .kfor all positive integers k and for any2 2. (20 Points) Assume that the matrix A Rnn is diagonalizable with real eigenvalues. In other words, there
Berkeley - MATH - 2212008
Math221 Midterm, Oct. 18, 20071. On page 5 in the text, backward stability is dened as follows: If alg(x) is our algorithm for f (x), including the effects of roundoff, we call alg(x) a backward stable algorithm for f (x) if for all x there is a sm
Berkeley - MATH - 2212008
Math221 Midterm Solutions, 20071. On page 5 in the text, backward stability is defined as follows: If alg(x) is our algorithm for f (x), including the effects of roundoff, we call alg(x) a backward stable algorithm for f (x) if for all x there is a
NYU - JL - 2515
Internet TV 9.17.06 Jeff LeBlanc This response isn't completely coherent yet, and I appologize for that. I've subgrouped it into themes. Channels As the word channel kept coming up in the readings I started to wonder: is a channel content or &quot;atmosph
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;menu: &quot;Press 1 to listen to a song, 2 to record a song, and 3 to make a call&quot;;selectsong: &quot;Enter number of song&quot;;recordsong: &quot;Record your song after the beep&quot;;makecall: &quot;Enter the phone number you wish to call&quot;;/MAIN //[redial_jl2515]exten =
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NYU - JL - 2515
;menu: &quot;Press 1 to listen to a song, 2 to record a song, and 3 to make a call&quot;;selectsong: &quot;Enter number of song&quot;;recordsong: &quot;Record your song after the beep&quot;;makecall: &quot;Enter the phone number you wish to call&quot;;/MAIN //[redial_jl2515]exten =
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#!/usr/bin/php -qc&lt;?PHP/jleblanc 10.17.06/script for updating rss feed of podcast\$SN = \$argv[1];\$myFile = &quot;/usr/local/www/html/asterisk/jl2515/jleblanc.rss&quot;;\$lines = file(\$myFile); /copies contents of file to array where each line is an
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#!/usr/bin/php -qc /var/lib/asterisk/agi-bin/useragi/php_agi.ini&lt;?PHPrequire('/var/lib/asterisk/agi-bin/useragi/phpagi.php');\$agi = new AGI();/FUNCTIONS TO USEfunction Beep(){GLOBAL \$agi;\$agi-&gt;exec(&quot;PlayBack&quot;,
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10.10.06 From Notebook: Unite Taha and Dan Snow. This is a fundamental idea. On air conference room converstation that can be taped. The idea is everyone has telephones. Telephone Journalism. This is a way to record things and connect. Post to intern
NYU - JL - 2515
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UNC - BIOL - 213
Chronic Inflammation overall concept of inflammation is relatively straightforward:the inflammatory process goes from the &quot;fire&quot; of the cardinal signs of inflammation to now become a &quot;simmer&quot;: -that is, the two signs that relate to &quot;flames&quot;, rednes
UNC - BIOL - 213
Associated with Chronic Inflammatory Processes (material should be downloaded, but it will not be discussed in class during lecture, this is for your information) 1. Mycobacterium tuberculosis:The red - stained, elongated organisms shown here are M
UNC - BIOL - 213
&quot;Response to Injury&quot; Thrombin/Clot FormationInflammatory cells activated and drawn into woundMigration of fibroblasts, endothelial cells, smooth muscle cellsNeovascularizationSynthesis of extracellular matrixCleaning up the debrisRemodeli
UNC - BIOL - 213
Inflammation and Coronary Heart Disease: An OverviewWOLFGANG KOENIG, MD, FESC, FACC Department of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, GermanyAbout half of the patients presenting with myocardial infarction do no
UNC - BIOL - 213
articlesInvolvement of chemokine receptors in breast cancer metastasis Anja Muller*, Bernhard Homey*, Hortensia Soto*, Nianfeng Ge*, Daniel Catron*, Matthew E. Buchanan*, Terri McClanahan*, Erin Murphy*, Wei Yuan*, Stephan N. Wagner, Jose Luis Ba
UNC - BIOL - 213
Chronic Inflammation (Monday, January 29, 2001) Overall concept of inflammation is relatively straightforward: -host-defense response -occurs due to insult -cause is not removed, inflammation becomes chronicInflammatory process goes from the &quot;fire&quot;
UNC - BIOL - 213
Chronic Inflammation Overall concept of inflammation is relatively straightforward: -host-defense response -occurs due to insult -cause is not removed, inflammation becomes chronicInflammatory process goes from the &quot;fire&quot; of the cardinal signs of i
UNC - BIOL - 213
Associated with Chronic Inflammatory Processes (material should be downloaded, but it will not be discussed in class during lecture, this is for your information) (Monday, January 26, 2004)1.Mycobacterium tuberculosis:The red - stained, elongat
UNC - BIOL - 213
Chronic Inflammation Monday, January 26, 2004Plasma RBC Platelet WBCChronic InflammationOverall concept of inflammation is relatively straightforward: -host-defense _ to invading substance; -excluding autoimmune events, inflammation occurs due to
UNC - BIOL - 213
Associated with Chronic Inflammatory Processes (material should be downloaded, but it will not be discussed in class during lecture, this is for your information) (Monday, January 29, 2001)1.Mycobacterium tuberculosis:The red - stained, elongat
UNC - BIOL - 213
Associated with Chronic Inflammatory Processes (material should be downloaded, but it will not be discussed in class during lecture, this is for your information) (Monday, January 29, 2001)1.Mycobacterium tuberculosis:The red - stained, elongat
UNC - BIOL - 213
Associated with Chronic Inflammatory Processes (material should be downloaded, but it will not be discussed in class during lecture, this is for your information) (Wednesday, January 30, 2002)1.Mycobacterium tuberculosis:The red - stained, elon
UNC - BIOL - 213
Associated with Chronic Inflammatory Processes (material should be downloaded, but it will not be discussed in class during lecture, this is for your information) (Monday, January 27, 2003)1.Mycobacterium tuberculosis:The red - stained, elongat
UNC - BIOL - 213
Associated with Chronic Inflammatory Processes (handout material should be downloaded, but it will not be discussed in class during lecture, this is for your information) (Monday, January 30, 2006)1.Mycobacterium tuberculosis:The red - stained,
UNC - BIOL - 213
Associated with Chronic Inflammatory Processes (material should be downloaded, but it will not be discussed in class during lecture, this is for your information)1.Mycobacterium tuberculosis:The red - stained, elongated organisms shown here are
UNC - BIOL - 213
Associated with Chronic Inflammatory Processes (material should be downloaded, but it will not be discussed in class during lecture, this is for your information)1.Mycobacterium tuberculosis:The red - stained, elongated organisms shown here are
UNC - BIOL - 213
&quot;Response to Injury&quot; Thrombin/Clot FormationInflammatory cells activated and drawn into woundMigration of fibroblasts, endothelial cells, smooth muscle cellsNeovascularizationSynthesis of extracellular matrixCleaning up the debrisRemodeli
UNC - BIOL - 213
&quot;Response to Injury&quot; Thrombin/Clot FormationInflammatory cells activated and drawn into woundMigration of fibroblasts, endothelial cells, smooth muscle cellsNeovascularizationSynthesis of extracellular matrixCleaning up the debrisRemodeli
UNC - BIOL - 213
Cytokines and Growth Factors (Wednesday, January 31, 2001) &quot;Response to Injury&quot; Thrombin/Clot FormationInflammatory cells activated and drawn into woundMigration of fibroblasts, endothelial cells, smooth muscle cellsNeovascularizationSynthesi
UNC - BIOL - 213
Cytokines and Growth Factors (Wednesday, January 31, 2001) &quot;Response to Injury&quot; Thrombin/Clot FormationInflammatory cells activated and drawn into woundMigration of fibroblasts, endothelial cells, smooth muscle cellsNeovascularizationSynthesi
UNC - BIOL - 213
Cytokines and Growth Factors Wednesday, January 28, 2004RBCLeukocytesPlateletsResponse to InjuryThrombin/Clot Formation _ cells activated and drawn into wound _ of fibroblasts, endothelial cells, smooth muscle cells Neovascularization _ of e
UNC - BIOL - 213
Cytokines and Growth Factors Wednesday, January 29, 2003RBCLeukocytesPlatelets Death of a President December 1799; a frigid day, physicians gathered around a dying George Washington, and were not optimistic! Why was 80 oz (2365 ml) of b
UNC - BIOL - 213
Wound Healing and Tissue Repair (Friday, February 2, 2001)2/2/01; Page 1Wound Healing and Repair this scenario combines 3 important processes: hemostasis inflammation and regenerationplan of wound healing/repair is always the same-the ultimat
UNC - BIOL - 213
Wound Healing and Repair this scenario combines 3 important processes: hemostasis inflammation and regenerationplan of wound healing/repair is always the same-the ultimate result vary depending upon: -presence or absence of bacteria; -the nature
UNC - BIOL - 213
Wound Healing and Repair this scenario combines 3 important processes: hemostasis inflammation and regenerationplan of wound healing/repair is always the same-the ultimate result vary depending upon: -presence or absence of bacteria; -the nature