13 Pages

Data Collection - Lab

Course: PHY 212, Spring 2012
School: Pima CC
Rating:
 
 
 
 
 

Word Count: 3440

Document Preview

3: Data Experiment Collection Nathan Venger Date of when experiments were conducted: February 09, 2012 PHY 121IN - Course Number: 23252 Abstract Two tests were performed regarding the speed of two objects. An additional test was performed to measure the time it took for an object to fall. The tests were conducted to measure the data collected. The speeds for the two tests were calculated by dividing the measured...

Register Now

Unformatted Document Excerpt

Coursehero >> Arizona >> Pima CC >> PHY 212

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
3: Data Experiment Collection Nathan Venger Date of when experiments were conducted: February 09, 2012 PHY 121IN - Course Number: 23252 Abstract Two tests were performed regarding the speed of two objects. An additional test was performed to measure the time it took for an object to fall. The tests were conducted to measure the data collected. The speeds for the two tests were calculated by dividing the measured distance over the time it took to complete each designated length. The time in the third test was calculated through data recording on a stop watch. The tests showed various methods used to record data and the importance of collecting data without experimental error. Speed is the measurement of how far an object has travelled over a given time. To measure speed one needs to know the original and final distances, and the original and final times that the measured object had travelled. Mathematically speed is expressed as: Using this understanding of speed the experimenter measured the speed of baseball pitches. This was conducted to demonstrate how accurately recording data is achievable outside of a lab. The fastest recorded baseball pitch was over 100 miles/hour (mph). To reach a speed of 100 mph, or 44.7 meters/second (m/s), would require talent and skill. The experimenter (and his two assistants) had neither. Due to this the experimenter estimated his speed, and the speed of his two assistants would be approximately 32 m/s. To verify the baseballs pitched velocity the distance the ball was thrown was verified using a meter tape. The measured distance thrown by the experimenter and his two assistants was 15 meters. Each individual pitched the baseball three times. The time it took the pitch to be thrown 15 meters was recorded by a stopwatch. The pitcher notified the time recorder of when they were to throw the baseball. Upon notification the time began and the time was recorded until the ball passed a designated line marking 15 meters. After each pitch the time it took pitch a baseball 15 meters was recorded. The experimenter was able to pitch a baseball 15 meters in 0.58 seconds, 0.62 seconds, and 0.6 seconds respectively. This averaged a time of 0.6 seconds. Assistant one had similar times of 0.54 seconds, 0.59 seconds, and 0.51 seconds, with an average time of 0.55 seconds. Assistant two recorded times 0.57 seconds, 0.52 seconds, and 0.62 second. Assistant twos average time was 0.57 seconds. The time it took to pitch the baseball are presented in Table 1 (shown below), as well as the calculated average speed. Table 1 Collected Data for the time it took to pitch a baseball 15 meters and the speed of the pitch The average speed was for the experimenter was 25 m/s, for assistant one it was 27 m/s, and for assistant two it was 26 m/s. This speed was significantly lower than the average speed of 32 m/s original hypothesized for the three participants. The percentage of error between the hypothesized speed and the actual average speed was calculated. The formula to calculate percent error is: Percent Error = (Experimental Error Accepted Value) X 100% Accepted Value Based on the formula shown above the percentage of error found between the actual average speed and the experimental speed (or in this lab the hypothesized speed) for the experimenter was approximately 22%. For assistant one the percentage of error was approximately 16%, for assistant two it was approximately 19%. For all three the average percentage of error was approximately 19%. The average percentage of error was found by finding the sum of all percentage errors and dividing the sum by the number of participants in the experiment (3). Graph 1 (shown on the Graph Section) graphically displays the actual average speed versus the hypothesized speed. The second test conducted collected the data (in this test: the time) it took for a ball to travel six meters horizontally. To conduct the second test a meter tape was used to measure six meters. The beginning and ending points of the six meters were marked with duct tape. Inside the marked six meters distance of two and four meters were recorded as well. The object travelling along the horizontal was a soccer ball with a mass of 0.44 kg. The horizontal floor was a tile floor. This test was conducted three times. The beginning of it was recorded with the start of a stopwatch. After the ball had reached the designated distances of two, four, and six meters the time that it took to reach the distances were recorded. To accurately reflect the time it took for the ball to reach each designated distance the test was performed three times. Each trial was performed upon the immediate conclusion of the previous trial. The same time instrument was used throughout the experiment to ensure greater measurement certainty. The experimenter rolled the ball during each trial. The times for each test as well as the average time for each trial are recorded in Table 2 (shown below). Through Table 2 it is possible to see the time it took for the ball to be Table 2 Collected Data for the time it took to roll a ball six meters, and the time it took the ball to roll two, four, and six meters rolled at each designated distance. A graphical representation of Table 2 is found on Graph 2 (shown on the Graph Section). Through proper data collection more information about the ball is apparent from this collected data. The first crucial information that can be surfaced from Table 2s data is the average speed it took the ball to travel six meters for each trial. Using the formula for average speed (shown on page 1) the average speed for trial one was approximately 3.07 meters per second (m/s). For trial two the average speed was approximately 2.71 m/s. For trial three the average speed was approximately 2.68 m/s. From this information it could be estimated that the first trial was rolled with the greatest amount of force; yet, is this true? To find out a comparison of the acceleration during each trial of the ball as it passed each time designation is needed. Acceleration for this test was calculated by the rate of final speed minus original speed divided by final time minus original time. Mathematically it is expressed by the formula: With all of the inputs calculated it became clear what the acceleration of the ball was at each designated time. Table 3 (shown below) represents the acceleration of the ball at each designated time for each trial. Table 3 The acceleration of the ball during each designated time for each trial As Table 3 shows for each trial the balls acceleration was greatest during from its starting distance (0 meters) to two meters. This result is surprising due to the short distance the ball was rolled. Because the ball was rolled only six meters it was believed (prior to the experiment) that the balls acceleration would continue to increase as it passed six meters. The results shown on Table 3, collected from the experimenters original data does not reflect this. What it shows is that the acceleration decreased between t four and six meters. One possible explanation for this occurrence is due to the friction caused between the ball and tile floor (known as kinetic friction). Regardless of what caused the balls acceleration to decrease the information presented in Table 3 can also provide another interesting result directly related to this second test. Force is what causes all objects with mass to undergo a change in whatever it was doing. An example of force can be found in the second experiment demonstrated this lab report. The ball, prior to being rolled, was static. What caused the ball to change from being static to having a movement was force. Mathematically force is expressed by the formula: This formula states that force is equal to the mass of an object multiplied by the objects acceleration. Using this formula it is then possible to know how much force was initially applied to the ball. Prior to the experiment the balls mass was measured at 0.44 kilogram (kg). With this knowledge the force was then calculated using the data from Table 3. The initial force applied to the ball during the first trial was approximately 1.6 kg[(m)/s(s)] (also known as N). The initial force applied to the ball for second trial was approximately 1.35 N. The initial force applied to the ball for the third trial was 1.57 N. The average initial force applied to the ball was 1.51 N. From the average initial force it is apparent that the ball was rolled with the approximately the same amount of force for each trial. This is important to note because if different (and widely varying) amounts of force were applied during each trial it would be difficult to accurately collect how long it took the ball to travel six meters. Through the time collected in this second test much can be learned about a ball moving horizontally on a floor. The first result obtained from this data was the balls speed during each trial. From speed the balls acceleration was then found. Finally, from acceleration the amount of force initially applied to the ball was calculated. It is important to remember that these figures would not have been possible without proper distance and time measuring techniques. The final performed test concerning data collection involved vertical acceleration due to gravity. Gravity is the force that causes an object with mass to be attracted to each other. Gravity is a constant acceleration; on Earth the acceleration of gravity has been consistently measured at 9.81 m/s2. Although this figure is consistent throughout the planet, it is impossible to obtain this measurement unless an experiment is conducted in a vacuum. Outside of a vacuum the measured acceleration of gravity varies. The variance is due to air-resistance. When an object is in free fall it will accelerate downward (on Earth) at 9.81 m/s 2. Due to air-resistance this acceleration will decelerate. The measurement of gravitys acceleration can be found through the distance an object falls and the time it took for the object cover the given distance in free fall. For this final test the experimenter dropped an AA size Duracell brand battery two meters from the floor. The time from the battery being released to the time it hit the ground was recorded a by stopwatch. To ensure an accurate reflection of the total time it took the battery to hit the floor from two meters the test was repeated 10 times. The temperature of the room were the experiment was conducted was 74 degrees Fahrenheit. There was no wind during the time period that the experiment was conducted. Table 4 (shown in the page below) describes the results of the experiment. The data collected from Table 4 is important in the consideration of the batterys free fall acceleration. To determine the batterys acceleration, one must apply the formula for gravity. Gravity is calculated through a revision of the formula Distance = Gravity(Time 2). By revising the equation gravity equals: g = 2d/t2 Table 4 The time it takes a battery to fall two meters and the acceleration of its free fall Table 4 presents the data collected during the final tests 10 trials. It is obvious that some of the data collected in the 10 trials were collected incorrectly. As previously stated gravity (on Earth) is a constant acceleration of 9.81 m/s 2. With this known acceleration it is then possible to disregard trials one, five, eight, and ten because their accelerations are greater than the actual acceleration of gravity. Due to this it is possible to focus on the more accurately collected data of trials two, three, four, six, seven, and nine. Table 5 (shown in the page below) describes the results of the experiment considering only trials two, three, four, six, seven, and nine. When the trials with an acceleration of less than 9.81 m/s 2 are independently considered the free falls time it took to drop 2 meters is 0.7 seconds. Applying 0.7 seconds yields an average acceleration of 8.16 m/s2. It is important to note that the time collected was to the best of the experimenters ability. Human error due to the reaction time between releasing the battery and recording the batterys free fall time undoubtedly occurred. At the time of this final test there were no methods taken into account to accommodate for this aside from performing the test multiple times. It is also the experimenters belief that human error as described above resulted in the inaccuracies of the time collected for trials one, five, eight, and ten of this experiment. Table 5 The amended time it takes a battery to fall 2 meters and its acceleration To overcome the inaccuracies found in this test produced by experimental error standard deviation can be applied. By applying it the variance around a known measure (for this experiment time) can be to the known average quantity. The formula to calculate standard deviation is: For this experiment the results of the formula state that the accepted value is within the + of the average values. Using the information found from Table 5 the standard deviation for the time it took for the battery to fall was found. The result found was + 0.053 seconds. This result signifies that the time it took for the battery to fall two meters based on the experimenters data collection was within + 0.053 seconds of the (Table 5 calculated) average time of 0.703 seconds. Adding 0.053 seconds to 0.703 seconds yielded an acceleration of 6.99 m/s 2. Subtracting 0.053 seconds from 0.703 seconds yields an acceleration of 9.46 m/s 2. From this it can be stated that the time it took for the battery to fall two meters was between 0.65 seconds and 0.756 seconds with an acceleration between 6.99 m/s2 and 9.46 m/s2. Prior to the final test being performed the experimenter hypothesized that due to airresistance the acceleration of gravity in their lab would be 7.5 m/s 2. The average acceleration of gravity found in this experiment using the amended trials was 8.16 m/s 2. The percentage of error between the hypothesized value and the experimental value was 8%. The data found in this lab was collected by measuring distance over time. By correctly measuring the time it took for an object to travel a designated length the experimenter was able to determine the actual speed a baseball was thrown and compare this their hypothesized speed. For test two the experimenter rolled a soccer ball on a tile floor and measured the time it took the ball to travel two, four, and six meters. By collecting the time at each interval the experimenter was able to find the balls speed and acceleration. From this correctly found data the initial force applied to the ball was calculated. Without first measuring the time it took the ball to travel with certainty it would not have been possible to correctly find these rates, and know that the ball was pushed with a consistent amount of force during each of its trials. Lastly, the time it took for a battery to fall two meters was measured. This final test was conducted ten times. With multiple trials the experimenter was able to determine the number of incorrectly measured times versus experimental times that correctly fit into my acceptable range. By comparing the acceptable range the experimenter was then able to determine the acceleration (shown by gravity) of the battery as it fell. This resulted in concluding the difference of acceleration due to air-resistance versus the acceleration of the battery without air-resistance. Ensuring that accurate data collection was obtained was essential to the success of this lap report. Without collecting the appropriate data for this lab report distance and time errors in results are bound to arise. With error comes the inability to correctly research ones hypothesis, repeat the conclusions of the experiment (which therefore would mislead any future experimenters wishing to repeat the experiment in the given settings), and provide incorrect results. To properly collect data in ones experiment it is vital that all measuring devices are calibrated and used repeatedly during the experimentation phase. If new measuring instruments are introduced it is then incumbent for the experimenter to note the change in instrument. By ensuring these steps correct data collection is obtainable, and with correct data collected comes greater experimental and result success for this and any other experiment. Graphs Graph 1 Graph 2 Data Collection Predictions A. What's the fastest you think you can comfortably pitch in miles per hour? I believe I could comfortably pitch a baseball 65 miles per hour. B. What are the reasons for your prediction? I base this prediction on my age, overall health, and that elite baseball pitches can pitch a baseball between 90-100 miles per hour. C. Would you call your prediction a guess, a hypothesis, or something in between? Explain why. My prediction is a little bit of both. Based on the evidence of my overall health, and age I would estimate I pitch a baseball at approximately 65 miles per hour. I dont know if this will be the outcome. 2. Collecting data on pitching speeds Name Distance t1(s) t2 (s) t3(s) Avg. t (s) Avg. Avg. speed (m) speed (miles/h) (m/s) Experiment 15 m 0.58 0.62 0.60 0.6 s 25 m/s 56 mi/h er Assistant 1 15 m 0.54 0.59 0.51 0.55 s 27 m/s 60 mi/h Assistant 2 15 m 0.57 0.52 0.62 0.57 s 26 m/s 58 mi/h Compare your results to your predictions. How well did you predict? I think my prediction was fairly accurate. I predicted I could pitch a ball at approximately 65 mi/h. My true average speed was 56 mi/h. This resulted in a difference of nine mi/h, and a percent error of 16 %. 3. Calculations with computers and spreadsheets How do the average times and speeds calculated by your spreadsheet program compare to the manual calculations you made on the same data in Part 2? If they differ in any way try to explain why. The velocity found through the experiment was different than the velocity that I predicted for myself and two other experimenters. The difference was due to the actual rate the others and I could actually through the ball versus the hypothesized guess that we could through the ball at. 4. Measuring the motion of a bowling or other large ball What do you predict will happen to the distance the ball moves as a function of time? Will the ball move at a steady speed, speed up, or slow down after it leaves the bowler's hand? Why? I believe the balls velocity will slow down upon leaving the bowlers hand. I believe this because I predict that the balls greatest velocity will be its initial velocity. Once it has left the bowlers hand I predict that due to friction the ball will slow down and eventually come a rest. Time: Time: Time: 2-m Distance 4-m Distance 6-m Distance Trial 1 0.74 1.49 1.95 Trial 2 0.88 1.62 2.21 Trial 3 0.75 1.53 2.24 Average time: 0.79 1.55 2.13 Graph your data for the distance your bowling ball traveled as a function of the rolling-time of the ball. This graphing should be done both by hand and on the computer. Dont forget to discuss these in your conclusions. A. Compare the shape of the graphs you produced in Section 4 with the sketches shown in the lab manual. Would you say that the distance increases with time, t? Decreases with time? Is it a linear function of t? Is it proportional to t? Explain. The graph shown above represents the distance in ratio to time for each trial. By looking at the graph I would argue that it is not a linear function because there is not a constant ratio between distance and time. Visually the graphs look almost like parabolas. This would signify that balls velocity is increasing and the amount of time needed to cover a distance is decreasing. I believe this occurred because the graph is showing the velocity of the ball for only a short time period while friction has yet to slow the ball down to a rate leading to zero. B. How do the results compare with the prediction you made in Part 4? Were you surprised? I was very surprised. I originally predicted that the balls greatest velocity would have been its original. According to the graph, this was not the case. According to the graph, the balls velocity is increasing; thus the initial velocity was not the fastest velocity for the ball. C. What do you think would happen to the slope, m, of the graph if the ball had been rolled faster? Would it increase? Decrease? Stay the same? I believe if there was greater velocity the ball the slope would have been more curved and representative of a parabola for the time and distance segment that was represented.
Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

Pima CC - PHY - 212
Nathan VengerExperiment 4:FrictionDate Experiment Conducted : 02/12/12PHY121 Course 23252AbstractIn this experiment the coefficient of friction was determined by sliding a wooden block weighing0.065 kg with various bottom surface compositions with
Pima CC - PHY - 212
Nathan VengerExperiment 5:AccelerationDate Experiment Conducted : 02/22/12PHY121 Course 23252AbstractThe acceleration of the marble with a mass of 0.06 kg is calculated by the recording of time as itpasses a designated distance on an inclined plane
Pima CC - PHY - 212
Nathan VengerExperiment 6:Simple Machine LeverDate Experiment Conducted : 02/29/12PHY212 Course 23252AbstractThe reasons behind why levers change the magnitude or direction of force beingapplied by an object will be studied in this lab report. The
Pima CC - PHY - 212
Nathan VengerExperiment 7:Simple Machines PulleysDate Experiment Conducted : 03/06/12PHY212 Course 23252Abstract:Why pulleys change the magnitude of force used to lift objects was studied in this lab report. Itwas determined that the magnitude of f
Pima CC - PHY - 212
Nathan VengerExperiment 8:Pendulum and the Calculation of gDate Experiment Conducted : 03/23/12PHY212 Course 23252Abstract:This lab report focused on what dependent and independent factors control a pendulumsperiod. It was determined that a period
Pima CC - PHY - 212
Nathan VengerExperiment 9:Specific Heat Capacity of MetalsDate Experiment Conducted : 04/02/12 and 04/03/12PHY121 Course 23252Abstract:Three experiments were conducted concerning the specific heat capacity of aluminumand lead. The first two experim
Pima CC - PHY - 212
Nathan VengerExperiment 10:Centripetal ForceData Experiment Conducted : 04/22/12PHY212 Course 23252Abstract:This lab report explores centripetal acceleration and force, and their relationships with aswinging bodys mass and velocity. By exploring th
Pima CC - PHY - 212
Nathan VengerExperiment 11:Hookes LawData Experiment Conducted : 04/15/12PHY212 Course 23252Abstract:Three experiments were performed concerning Hookes Law. The first two experimentsmeasured the spring constant for springs of different lengths. The
Universidad de Chile - ECON - 101
Intermediate Financial TheoryDanthine and DonaldsonSolutions to Exercises1Chapter 11.1.U is a utility function, i.e., U(x) > U(y) x yf(.) is an increasing monotone transformation, f(a) > f(b) a > b;then f(U(x) > f(U(y) U(x) > U(y) x y1.2.Utility
HKU - ECON - 0102
Chapter 8Conduct of Monetary Policy: Tools, Goals, Strategy and Tactics39Answers to End-of-Chapter Questions1. Disagree. Some unemployment is beneficial to the economy because the availability of vacant jobs makes it more likely that a worker will fin
HKU - ECON - 0102
Chapter 14The International Financial System81Answers to End-of-Chapter Questions1. The purchase of dollars involves a sale of foreign assets which means that international reserves fall. However, the offsetting open market purchase means that the mon
HKU - ECON - 0102
Chapter 15Why Do Financial Institutions Exist?87Answers to End-of-Chapter Questions1. Financial intermediaries can take advantage of economies of scale and thus lower transaction costs. For example, mutual funds take advantage of lower commissions bec
HKU - ECON - 0102
92Mishkin/Eakins Financial Markets and Institutions, Sixth EditionAnswers to End-of-Chapter Questions1. Because one information resource can be used in providing several services, thus lowering the cost for each. 2. Conflicts of interest arise because
HKU - ECON - 0102
Chapter 17Banking and the Management of Financial Institutions99Answers to End-of-Chapter Questions1. The rank from most to least liquid is (c), (b), (a), (d). 2. No, because the bank president is not managing the bank well. The fact that the bank has
HKU - ECON - 0102
Chapter 18Commercial Banking Industry: Structure and Competition107Answers to End-of-Chapter Questions1. Agricultural and other interests in the U.S. were quite suspicious of centralized power and thus opposed the creation of a central bank. 2. a. b.
HKU - ECON - 0102
Chapter 20Banking Regulation113Answers to End-of-Chapter Questions1. There would be adverse selection because people who might want to burn their property for some personal gain would actively try to obtain substantial fire insurance policies. Moral h
HKU - ECON - 0102
HKU - ECON - 0102
FINA0102 Financial Markets and Institutions Answers for Tutorial 1M.C. 1) The bond markets are important becauseA) they are easily the most widely followed financial markets in the United States. B) they are the markets where interest rates are determin
HKU - ECON - 0102
SCHOOL OF ECONOMICS AND FINANCE FINA0102 Financial Markets and Institutions Tutorial 3 (To be discussed in the week of Oct 3 & Oct 5)OCTOBER 2011M.C. 1) The risk premium on corporate bonds becomes smaller if A) the riskiness of corporate bonds increases
HKU - ECON - 0102
SCHOOL OF ECONOMICS AND FINANCE FINA0102 Financial Markets and Institutions Tutorial 4 (To be discussed in the week of Oct 10)OCTOBER 2011M.C. 1) The theory of purchasing power parity cannot fully explain exchange rate movements because A) not all goods
HKU - ECON - 0102
SCHOOL OF ECONOMICS AND FINANCE FINA0102 Financial Markets and Institutions Tutorial 5 (Ch. 7, 8) (To be discussed in the week of Oct 31)OCTOBER 2011M.C 1) Which of the following is not one of the eight basic facts about financial structure? A) Debt con
HKU - ECON - 0102
SCHOOL OF ECONOMICS AND FINANCE FINA0102 Financial Markets and Institutions Tutorial 6 (Ch. 10) (To be discussed in the week of Nov 14)NOVEMBER 2011M.C. 1) The federal funds rate is A) the interest rate on loans from the Fed to a bank. B) the price the
LSU - AG - 1005
Chapter100:11ScienceempiricaltestsofideasthatgenerateknowledgeofthenaturalworldCharacteristics:ScienceinvolvesempiricaltestsofideasScienceinvolvestheinterplayofinductiveanddeductivereasoningDeductivegeneraltospecificInductivespecifictogeneralScien
Nashville State Community College - CHEM - 102
CHM 111COLLEGE CHEMISTRY 1COURSE INFORMATIONAssistant Professor: M. Jahangeri;Office: LS 152; Telephone: (703) 948 7783Email: mjahangeri@NVCC.edu Mailbox: Division Office LR303Office Hours:Flexible (by appointments):Mondays 9:00- 11:00 AM, Wednesd
UMSL - ACCT - 110
Question 12 out of 2 pointsThe information inthe following table isfrom the statementof cash flows for acompany at fourdifferent points intime (Period 1,Period 2, Period 3,and Period 4).Negative values arepresented inparentheses.Based on thi
UMSL - ACCT - 110
1. The principle purpose of posting is toAnswerhelp identify errors made in the journal.accumulate the effects of journalized transactions in the individual accounts.enter transactions directly into the ledger.help determine if the financial statemen
Oxford Brookes - 123 - 123
MARKETING PLANCONTENTI.Executivesummary.3NurzhamalII. Currentmarketsituation.4A. Marketoverview.4i.MarketdemographicsandneedsMarkettrendsandtargetmarketgrowthii.B. SWOTanalysis5Alexsandri.Strengthsii.Weaknessesiii.Opportunitiesiv.T
LSU - BIOL 1201 - 1201
OUTLINES FOR BIOLOGY 1201Sections 003 and 004Fall 2009DR. STEVEN POMARICO5CChapter 17FROM GENE TO PROTEINDNA is the instructions (program) that tells the cell what to do. Proteins are theresults of those instructions.Molecular Genetics: The Prote
LSU - BIOL 1201 - 1201
SI Exam 1 Review (Ch. 1-4)Chapter 1Definitions to know: emergent propertiesenergyinheritanceDNAhomeostasisdomaintaxonomynatural causality-theory1) What are the unifying characteristics of life?2) What are the levels of biological organization?3) Wha
LSU - BIOL 1201 - 1201
StudyGuideChapters8and9Whatarethetwolawsofenergytransformation?1stLawofThermodynamics energycanbetranferredortransformed,butitcannotbedestroyed2ndLawofThermodynamics everyenergytransferortransformationmakestheuniversemoredisorderedPg.45Whatisthe
LSU - BIOL 1201 - 1201
StudyGuideChapters1013Whatarethepropertiesoflight?LightiselectromagneticenergyIthaswavelikepropertiesIthasparticlelikepropertiesCalledphotonsWhatisthecorrelationbetweenwavelengthandenergy?Thesmallerthewavelength,themoreenergyitcarriesWhatisthed
LSU - BIOL 1201 - 1201
Chapter 10 - PhotosynthesisPhotosynthesis transforms light energy trapped by chloroplasts into chemical bond energyand stores that energy in sugar and other organic molecules. A lot of mechanisms inphotosynthesis are very similar to cellular respiratio
LSU - BIOL 1201 - 1201
Chapter 14MENDEL AND THE GENE IDEAHeredity: The Story of Gregor MendelThe father of genetics: Johann (Gregor) Mendelo Mendel was a monk who was trained in science at the University of Vienna.o The realization that both parents contributed to the char
LSU - BIOL 1201 - 1201
Biology Test 1What do atoms for when they share electron pairs?1. Molecules2. Elements3. Ions4. Aggregates5. IsotopesThe formation of ice on a pond during colder weather helps to temper the seasonal transition towinter. This is mainly because :1.
LSU - BIOL 1201 - 1201
SI Review Test 2Chapter 5 MacromoleculesCarbohydrates1) What is an alpha and beta structure? Alpha structure is when the H is up and theOH is down on the 1st carbon, Beta structure is when the OH is up and the H isdown on the 1st carbon. What are ald
LSU - BIOL 1201 - 1201
Exam 4 pretest:Binary fission: bacteria prokaryotic cellsWhat in chlorophyll has highest pHKaryotypePictures (two were pics of chromosomes)Daughter cellWhat reproduces asexually:bacteria prokaryotesOnly way to have genetic variation with asexual re
LSU - BIOL 1201 - 1201
ProkaryotesAnimalsPlantsNucleoidER smooth and roughER smooth and roughRibosomesNucleus envelope,nucleolus, chromatinNucleus envelope,nucleolus, chromatinPlasma membranePlasma membraneRibosomesRibosomesGolgi apparatusGolgi apparatusLysosom
CUNY Brooklyn - CSE - 494
REMOVAL & INSTALLATION1 of 3http:/arrc.epnet.com.oh0049.oplin.org/autoapp/9307MER/9307CH08_.REMOVAL & INSTALLATIONFrontALL MODELS EXCEPT E CLASS 4-MATIC1. Before servicing the vehicle, refer to the precautions in the beginning of this section.2. Re
CUNY Brooklyn - CSE - 494
CUNY Brooklyn - CSE - 494
CS 332: AlgorithmsGraph AlgorithmsDavid Luebke1Review: Depth-First Search Depth-first search is another strategy forexploring a graph Explore deeper in the graph whenever possible Edges are explored out of the most recentlydiscovered vertex v tha
CUNY Brooklyn - CSE - 494
Lecture 9: More PHPG64HLL, High Level Languageshttp:/www.cs.nott.ac.uk/~gxo/g64hll.htmlDr. Gabriela Ochoagxo@cs.nott.ac.ukBased on: Deitel & Deitel book, Chapter 26, and R.Sebesta, Chapter 12Outline - PHPPHP Last Lecture1.2.3.4.IntroductionP
CUNY Brooklyn - CSE - 494
Lecture 8: PHPG64HLL, High Level Languageshttp:/www.cs.nott.ac.uk/~gxo/g64hll.htmlDr. Gabriela Ochoagxo@cs.nott.ac.ukBased on Deitel & Deitel book. Chapter 26Outline - PHP1.2.3.4.IntroductionPHP: arithmetic expressions, data conversion, arrays
CUNY Brooklyn - CSE - 494
CSC 382 Non-Comprehensive FinaldepartmentDue date 12/15/11 at 5PM my mailbox CSCSC 382 Version 2 (Graph-theory and Backtracking) - Due Date 12/15/11 (drop-it in mailbox not later than 5 PM)Must sign name on every page and last 4 digits of SSNNAME:SS
CUNY Brooklyn - CSE - 494
C SC 230 Computer Architecture and Assembly Language April 2000 Exam Sample Solutions 1. (12 marks) Circle the correct answer for each of the following: The 8-bit two's complement representation of -1510 is 111100012. Two's complement representation has d
CUNY Brooklyn - CSE - 494
Mid-Term Exam CS2422 Assembly Language and System Programming November 27, 2007INSTRUCTIONS: Show your work (i.e., how you derived your answer or the reason behind your thinking) in addition to your answer. Budget your time wisely (e.g., do not spend too
CUNY Brooklyn - CSE - 494
CSC424Prof Emile C. ChiIntroduction to Database1st ExamMarch 27, 2012NAME_1)(30 points) Let R (A, B, C, D, E) be a relations with attributes A, B, C, D, E.Let F be the set of functional dependencies:A -> B,CC,D -> EB -> DE -> Aa) Compute the
CUNY Brooklyn - CSE - 494
Job Interview One-Sheeter - Your Personal Cliffs NotesBrought to you by Jenny Blake, LifeAfterCollege.orgCheck out my book on Amazon - Life After College: The Complete Guide to Getting What You Want Note from Jenny: My approach to preparing for intervi
Prairie View A & M - BIOL - 1123
1.What is an advantage to using plants to cleanse soil, as opposed to just removing the soil itself?(see book section: Biology and Society: Planting Hope in the Wake of Katrina)Your Answer:Plants will remove bacteria and other potential pathogens from
CUNY Brooklyn - CSE - 494
Prairie View A & M - BIOL - 1123
Biochemistry IntroductionSelect LanguageAfrikaansAlbanianArabicBelarusianBulgarianCatalanChinese(Simplified)Chinese(Traditional)CroatianCzechDanishDutchEsperantoEstonianFilipinoFinnishFrenchGalicianGermanGreekHaitianCreoleHebrewHindiHungarianIcelandi
CUNY Brooklyn - CSE - 494
Solutions to Exam TwoCS130 - Computer Organization and Assembly Language Drake University - Fall, 2003Directions: Do all problems. Show all work. Please work first on problems with which you are more comfortable.Problem 1 - protected addressing mode. (
Prairie View A & M - BIOL - 1123
Water Properties andMineral SaltsSelect LanguageAfrikaansAlbanianArabicBelarusianBulgarianCatalanChinese(Simplified)Chinese(Traditional)CroatianCzechDanishDutchEsperantoEstonianFilipinoFinnishFrenchGalicianGermanGreekHaitianCreoleHebrewHindiHungaria
CUNY Brooklyn - CSE - 494
CS 332: AlgorithmsGraph AlgorithmsDavid Luebke1Administrative Test postponed to Friday Homework: Turned in last night by midnight: full credit Turned in tonight by midnight: 1 day late, 10% off Turned in tomorrow night: 2 days late, 30% off Extr
Prairie View A & M - BIOL - 1123
Carbohydrates Properties Review1. What are the organic chemical groups that characterize carbohydrates? How are carbohydratesclassified according to the presence of those groups?Carbohydrates are also known as sugars (starches, cellulose and other subs
CUNY Brooklyn - CSE - 494
Lecture 9: More PHPG64HLL, High Level Languageshttp:/www.cs.nott.ac.uk/~gxo/g64hll.htmlDr. Gabriela Ochoagxo@cs.nott.ac.ukBased on: Deitel & Deitel book, Chapter 26, and R.Sebesta, Chapter 12Outline - PHPPHP Last Lecture1.2.3.4.IntroductionP
Prairie View A & M - BIOL - 1123
Fat ReviewUnderstand LipidsSelect LanguageAfrikaansAlbanianArabicBelarusianBulgarianCatalanChinese(Simplified)Chinese(Traditional)CroatianCzechDanishDutchEsperantoEstonianFilipinoFinnishFrenchGalicianGermanGreekHaitianCreoleHebrewHindiHungarianIcela
CUNY Brooklyn - CSE - 494
Eulers method with TI-89Step1:1. Press (Mode)2. Go to Graph, press () and selectDIFF EQUATIONS3. Press (enter) twiceStep2:1. Press () and then (F1).2. Press (F1), go down to 9:Format.,and then press (enter)3. Go to Solution Method, press ()and
Prairie View A & M - BIOL - 1123
Protein Structure Review1. What are proteins? How can the protein diversity of living beings be explained?Proteins are molecules made of sequences of amino acids bound by a peptide bond.The genetic code codifies twenty different amino acids that can co
CUNY Brooklyn - CSE - 494
Job Interview One-Sheeter - Your Personal Cliffs NotesBrought to you by Jenny Blake, LifeAfterCollege.orgCheck out my book on Amazon - Life After College: The Complete Guide to Getting What You WantNote from Jenny: My approach to preparing for intervie
Prairie View A & M - BIOL - 1123
Enzyme Activity - Q&A Review1. What are catalysts?Catalysts are substances that reduce the activation energy of a chemical reaction, facilitating it ormaking it energetically viable. The catalyst increases the speed of the chemical reaction.2. What am