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Course: DRAM 1320, Fall 2009School: Trinity U
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3/4"
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5 spaces
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4 1/2"
3/4"
3/4"
3/4"
3/4"
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Trinity U - DRAM - 1320
Trinity U - DRAM - 2314
Drama 2314 - Principles of Stage LightingCue# 1 2 3 4 5 6 72- Scene pre-set board Cue Sheet8 9 10 11 12 13 14 15Name:16 17 18 19 20 21 22 23 24Cue#123456789101112131415161718192021222324Cue#
Trinity U - DRAM - 2314
Trinity U - PROJ - 2314
A 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29BCDEFGHIDrama 2314- Proj. #2Horizon Console Channel HookupPurposeCenter/Center Front Center/Center Front Center/Center Front Center/Center Front Cent
Trinity U - PROJ - 2314
Software Build 121User GuideTable of ContentsWHAT'S NEW.17HORIZON Build 121 .. 17 HORIZON Build 120 . 17 HORIZON 98 Release 680 .. 17HORIZON OVERVIEW .18Concept of Horizon .. 18What has caused the divergence? . 18 Where does Horizon fit in
Maryland - EDPL - 788
Maryland - EDPL - 788
Downloaded from: Business & Company Resource CenterDownloaded from: http:/galenet.galegroup.com/servlet/BCRC?mailto=mihonig@umd.edu&mailtype=text%2Fhtml&vr sn=135&locID=umd_um&srchtp=art&c=1&ste=11&tab=2&tbst=tsAS&mste=21&docNum=A11542 105&atp=KT&ar
Maryland - EDPL - 788
Maryland - EDPL - 788
Maryland - EDPL - 788
Maryland - EDPL - 788
Presidential Address: The Evolution of the Policy Analysis Field: From Conversation to ConversationsBeryl A. RadinSeveral years ago, the Israeli author A. B. Yehoshua [1993] wrote a very unusual novel about a family. The volume, called Mr. Mani,
Maryland - EDPL - 788
How the Question We Ask Most About Race in Education Is the Very Question We Most Suppressby Mica PollockThe race question that appears perhaps most in American achievement talk (How and why do different race groups achieve differently?) is also o
Maryland - EDPL - 788
Maryland - EDPL - 788
EDPL 788S: Policy Design and ImplementationFall 2005-2006 Instructor: Meredith Honig mihonig@umd.edu; Benjamin 2202; 301-405-5579Meeting Time: Mondays 7:00-9:45 pm Location: Benjamin Building Room 2102 Office Hours: By appointment Monday, Tuesday,
Maryland - EDPL - 788
Minnesota - HIST - 1990
PHOTOGRA%I STONE Edouard BernePHOTOGRAM STONEEdouardBerneSao"ge -Alpes Man' rresAVANT-PROPOSDepuis pres de deux siecles, les recensements generaux de la population retracent 1'evolution ddmographique, dconomique et sociale du pays, du plus
Minnesota - HIST - 1975
~m :;a 10recensementgeneral de la population de 1975REPUBLIQUE FRAN~AISE MINISTERE DE L'INTERIEUR INSTITUT NATIONAL DE LA STATISTIQUE ET DES ETUDES ECONOMIQUESmanuel ' dela gent recenseuravant-, proposLe recensement de 1975 auquel vous allez
Minnesota - HIST - 1968
Imprime numeroREPUBLIQUE FRANCAISEMINISTERE DE L'INTERIEUR INSTITUT NATIONAL DE LA STATISTIQUE ET DES ETUDES ECONOMIQUES10RECENSEMENT GENERAL DE LA POPULATION DE 1968MANUEL L'AGENT RECENSEURCe manuel comprend deux parties La premiere partie
Minnesota - HIST - 1962
MINISTtRE DE L' I NTE RI E'URREPUBLIQUE FRANgAISEINS rITUT NATIONAL DE LA STATISTIQUE ET DES ETUDES 12CONOMIQUESImprimb numiro10RECENSEMENT DE1962INSTRUCTIONAUXAGENTSRECENSEURSL'instruction aux agents recenseurs comprend deux par
Minnesota - HIST - 1982
Minnesota - HIST - 1982
Minnesota - HIST - 1982
Minnesota - HIST - 1968
Minnesota - HIST - 1968
Michigan - UP - 402
Pollution issue: Minority areas are hit hard, environmental activists say (April 10, 1999)BY EMILIA ASKARI Free Press Environment Writerstymieing economic revitalization in urban areas - and forcing development to sprawl into clean, suburban land.
Marietta - HEM - 001
CLT Examples Continued6. The mean daily output at a small West Virginia coal mine is 38 tons of coal. The log book showing the tonnage mined each day indicates that the standard deviation of the daily output is = 5 tons. What is the probability of
Marietta - HEM - 001
Examples1) Suppose you have a population consisting of the values 1, 3, 4, 8, and 9. Suppose also we wish to select samples of size 3.Sample 1 2 3 4 5 6 7 8 9 10Sample Values 1, 3, 4 1, 3, 8 1, 3, 9 1, 4, 8 1, 4, 9 1, 8, 9 3, 4, 8 3, 4, 9 3, 8,
Marietta - HEM - 001
Section 2.10 The Central Limit TheoremBackground Info: Introduction to Sampling Distributionsparameter numerical quantity that describes some characteristic of a population sample statistic numerical quantity that describes some characteristic o
Marietta - HEM - 001
The following list represents possible homework, quiz, test, and/or group work questions. All of these questions will not necessarily be turned in, but they are considered to be good types of questions that are representative of the concepts that wil
Marietta - HEM - 001
Example involving Student t s distribution1. A study is to be run to investigate the effects of alcohol consumption on breast milk. Mothers with lactating infants will be asked to drink orange juice one day and on a second day to drink orange juice
Marietta - HEM - 001
Examples involving Confidence Intervals 1. The U.S. Department of Agriculture wants to determine the average number of eggs that children under 14 years of age consume each year. A random sample of 900 such children is obtained. In this sample, the a
Marietta - HEM - 001
Confidence IntervalsEstimating a Population Mean: KnownRequirements for Estimating when is known1. The sample must be a simple random sample. 2. The value of is known 3. Either the population is already normal or n 30 so the Central Limit The
Marietta - HEM - 001
Hypothesis Testing Examples1. A research meteorologist has been studying wind patterns over the Pacific Ocean. Based on these studies, a new route is proposed for commercial airlines going from San Francisco to Honolulu. The new route is intended to
Marietta - HEM - 001
Steps for Hypothesis Testing (Sections 3.8 to 3.11)1. Determine the hypotheses. Null Hypothesis: an assumption concerning the value of the population parameter being studied (usually represents no effect, no change, no difference, etc.) Notation: H0
Marietta - HEM - 001
CorrelationAssociation a connection between two variables Correlation a linear association between two variables Scatterplot (Scatter Diagram) shows the relationship between two quantitative variables measured on the same individual (or subject).
Marietta - HEM - 001
Regression Method of Least SquaresSuppose we wish to make the sum of the squared deviations of the observations as small as possible. In other words, we want to minimize i 2 = ( y i xi ) 2 .i =1 i =1nnThe least squares estimates there
Marietta - HEM - 001
Discrete Random VariablesWhen we introduced probability, we said we had a sample space S which contained every possible outcome of a random experiment. These sample spaces may be made up of numerical or nonnumerical outcomes. Often, to allow use of
Marietta - HEM - 001
Random Variable ExamplesExample 1: Suppose you have the following probability table. Suppose also that a TV costs $250 and a DVD player costs $100. Let C represent the total cost of the customers purchases. We may also construct a table showing the
Marietta - HEM - 001
Facts about the variance of X: 1. V(X) 0. 2. V(X) = E(X 2) (E[X])2. Pf: V(X)= (X )2P(X = x) = (X 2 2X + 2)P(X = x) = X 2P(X = x) X P(X = x) + 2 P(X = x) = E(X 2) 22 + 2 = E(X 2) 2 = E(X 2) (E[X])2Linear Transformations: Let X be a r.v. A
Marietta - HEM - 001
Discrete DistributionsWe defined a random variable to be an experiment with numerical outcomes. Often, different random variables are related in that they have the same sample space or the same form for the probabilities. Random variables which are
Marietta - HEM - 001
Discrete Distribution Examples1. Approximately 10% of all computers are returned for repair while their guarantee is still in effect. Suppose a firm purchased nine computers. a) What is the probability that none of the computers will need repair whi
Marietta - HEM - 001
Continuous DistributionsDiscrete Distributions place probability on specific numbers. For example, the Binomial distribution places probability only on the values 0,1,2, , n. This is why the probability distributions for discrete random variables ar
Marietta - HEM - 001
Normal DistributionsA Normal distribution is the most important distribution in statistics. It is what is commonly called a bell-shaped distribution. A Normal distribution has two parameters, and 2. The parameter is the mean of the distribution a
Marietta - HEM - 001
Assignment 1Due Beginning of Class on Thursday, September 28th1. Problem 1 in Section 2.8 on page 66. 2. Problem 2 in Section 2.8 on page 66. 3. Problem 3 in Section 2.8 on page 66. 4. Problem 4 in Section 2.8 on page 66. 5. Problem 5 in Section 2
Marietta - HEM - 001
Chapter 1Terms:Sample Population Mean Weighted Mean Range Histogram Median Quartiles Percentiles Interquartile Range Deviation Variance Sample Variance Standard Deviation Sample Standard Deviation Outliers Chebyshevs InequalityThe proportion (or f
Marietta - HEM - 001
Control Chart ExampleData Taken from Problems 5 and 9 S1 S2 S3 S4 S5 S6 S7 S8 S9 S10 S11 S12 S13 S14 S15 S16 X1 25.26 22.69 23.63 21.63 21.64 16.52 20.04 18.33 20.28 14.07 23.02 16.28 12.76 18.11 18.25 18.57 X2 22.68 21.63 20.33 16.07 22.9 20.46 20.
Marietta - HEM - 001
Control Chart ExampleData Taken from Problems 5 and 9S1 S2 S3 S4 S5 S6 S7 S8 S9 S10 S11 S12 S13 S14 S15 S16X1 25.2567 22.6905 23.6346 21.6303 21.6448 16.5162 20.0441 18.3265 20.2825 14.0698 23.0242 16.2825 12.7565 18.1114 18.2458 18.5655X2 22.
Marietta - HEM - 001
Math 357 Fall 05 Exam #1Remember to show your work where appropriate! Unless otherwise noted, an exact numerical answer is required.1. In football, a nickel defense consists of 4 defensive linemen, 2 linebackers, and 5 defensive backs. A certain
Marietta - HEM - 001
Math 357 Fall 05 Exam #1Remember to show your work where appropriate! Unless otherwise noted, an exact numerical answer is required.1. In horse racing, a quinella consists of picking the first two horses in a race in any order, while an exacta co
Marietta - HEM - 001
Math 357 Fall 05 Test #2Remember to show your work where appropriate!1. A random sample {x1, x2, x3, . . . , xn} is chosen from the discrete Poisson probability distribution x e function f(x) = . Find the likelihood function. (5 pts) x!2.A
Marietta - HEM - 001
Math 357 Fall 05 Test #3Remember to show your work where appropriate!1. The accompanying data show the annual incomes (X) of 10 families and their annual expenditures on entertainment and recreation (Y), all expressed in thousands of dollars. It
Marietta - HEM - 001
Homework 1 Due Thursday, August 31st1. Do exercise 4 in section 1.5. (pg. 23) 2. Do exercise 3 in section 2.2. (pg. 32) 3. Do exercise 4 in section 2.2. (pg. 32) 4. Do exercise 5 in section 2.2. (pg. 32) 5. Do exercise 6 in section 2.2. (pg. 32) 6.
Marietta - HEM - 001
Homework 2Tentatively Due Thursday, September 7th 1-5. Do exercises 1-5 in section 2.4. 6. Do exercise 10 in section 2.4. 7. Explain what mistake is made in exercise 11 in section 2.4. 8. Do exercise 2 in section 2.5. 9-10. Do exercises 5-6 in secti
Marietta - HEM - 001
Homework 3Due Tuesday, September 26th1. Admission to a park is $5. The probability someone will canoe for $40 is 0.40. The probability someone will camp for $10 is 0.7. Assume that whether someone canoes or not is independent of whether they camp
Marietta - HEM - 001
Solutions for Homework 31. C P(C) $5 0.18 (does nothing) $15 0.42 (camps only) $45 0.12 (canoes only) $55 0.28 (does both)E(C) = (0.18)(5) + (0.42)(15) + (0.12)(45) + (0.28)(55) = $28 E(C 2) = (0.18)(52) + (0.42)(152) + (0.12)(452) + (0.28)(552) =
Marietta - HEM - 001
Homework 4Thursday, October 19th 1. Using the exponential example from class, show that the second derivative is negative when = x . 2. Problem 1 in Section 3.2 on page 106. 3. Problem 2 in Section 3.2 on page 106. 4. Problem 3 in Section 3.2 on p
Marietta - HEM - 001
Homework 5Due Thursday, October 26th1. Problem 1 in Section 2.10 on page 74, parts c and d. 2. Problem 4 in Section 2.10 on page 75. 3. If the standard deviation of X is 9 times smaller than the standard deviation of X, then how large must the sam
Marietta - HEM - 001
Homework 6Due Tuesday, October 31st 1. The average zinc concentration recovered from a sample of zinc measurements in 60 different locations was found to be 2.6 grams per milliliter. a) Assuming the population standard deviation is 0.3 grams per mil
Marietta - HEM - 001
Homework 7 Due Tuesday November 7th1. An experiment is carried out to determine whether a new anesthetic results in lower death rates than other anesthetics. (Be your answers specific to this particular situation!) a) What should the null hypothesi
Marietta - HEM - 001
Homework 8Due Tuesday, November 21st 1. Problem 1 in Section 7.3 on page 359. 2. Combination of Problem 4 and 8 in Section 7.3 on pages 360 and 361. a) Take the data from problem 8 and construct a table similar to the example from class. (A partial
Marietta - HEM - 001
Homework 9 - Last One!(Due Thursday, November 30th )y 1. Suppose a sample regression equation is i = 10 + 3.5 xi. a) The first observation is (x1 = 10, y1 = 50). Find the first residual. b) The second observation is (x2 = 14, y2 = 58). Find the s