DELHI PUBLIC SCHOOL‚RANIPUR‚HARIDWAR LESSON 6:COMBUSTION AND FLAME DATED:24.07.14 1 COMBUSTION: When a substance combines readily with oxygen to give heat and (light) it is called combustion. 2 COMBUSTILE SUBSTANCE: A substance which burns easily to give heat it is said to be combustible. For ex. Wood ‚paper 3 FUEL: A substance that is burnt for obtaining heat and light is called a fuel. Carbon based fuel: wood ‚coal‚wax ‚petrol etc. Non carbon based fuel: hydrogen 4 CHARACTERISTICS OF AN
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Chi-Square Test Chi-square is a statistical test commonly used to compare observed data with data we would expect to obtain according to a specific hypothesis. For example‚ if‚ according to Mendel’s laws‚ you expected 10 of 20 offspring from a cross to be male and the actual observed number was 8 males‚ then you might want to know about the "goodness to fit" between the observed and expected. Were the deviations (differences between observed and expected) the result of chance‚ or were they due to
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Lab Report Flame Spectroscopy: Applying a Quantum Leap Answer the following questions about the results of this activity. Record your answers in the boxes. Send your completed lab report to your instructor. Don’t forget to save your lab report to your computer! Lab Activity 1 Sample Number of Bands Colors Present Cesium Calibration Standard 18 Violet‚ Green‚ Yellow‚ Orange‚ Red Cesium Spectrum from Chart 13 Violet‚ Green‚ Yellow‚ Orange‚ Red
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In the lab‚ five test were completed. The Bruce Protocol Test‚ Balke Treadmill Test‚ Q Test‚ Wingate‚ and Cooper Run. The Bruce Protocol Test‚ Balke Treadmill Test‚ and Q Test are GXT test (Graded Exercise Test). The GXT showed how the body responds to exercise. All of these tests were voluntary which allowed the subject to stop before hitting their maximum effort. It will be hypothesized that for each test completed time‚ grade percentage‚ and/or speed made a difference. Everyone has different anaerobic
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Analytic Narrative of Project KIPP Adelante is a charter school that serves primarily underrepresented and underserved students of Hispanic and African American ethnicity in downtown San Diego. According to the California Department of Education (CDE) School Accountability Report Card (SARC) for the year 2012‚ KIPP had a total of 363 students enrolled in grades 5 through 8; this is the most recent data available. Student demographics are as follows; 315 Hispanic‚ 28 African American‚ and the remaining
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RACIAL/ETHNIC IMPACT ON ACHIEVEMENT TEST SCORES Introduction The purpose of this report is to analyze the presence of a link between student achievement and racial/ethnic background. This report will summarize the 4 results of studies conducted from 1997 to 2004‚ published in educational and psychological journals. The studies examine a tie between test scores‚ intelligence levels and backgrounds of the students. Study #1 The first study examined focuses on the test gains of Ohio students in the
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give a false overview of who the student actually is‚ and in the end‚ these tests won’t get you anywhere in life. It’s important to many people including students who are taking the tests‚ teachers who are preparing the students for these tests‚ and of course the parents who have to deal with all the complaints from their child about these tests. This is a pretty important issue today‚ because so much is riding on these tests. If you do poorly you won’t get accepted to the university you want‚ or your
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Standardized tests are customarily defined along with “high-stakes;” however‚ the test themselves are not in high-stakes. They are frequently used for high-stake purposes such as “determining which students will pass or graduate‚ which teachers will be fired or given raises‚ and which schools are reorganized and given more funding‚” (NCTE). In the short research brief‚ “How Standardized Tests Shape – and Limit – Student Learning‚” standardized testing has been shown to have three fundamental effects
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Projective Test for Children The Dood Caoek Joms University It has been observed that there has been a growing acceptance and understanding to the necessity and value of personality testing. It is at this stage in time where there is increasing demand and consumption for such services‚ met by a diverse range of offerings‚ it is important to know the ideal service to meet one’s needs. Keeping this in mind‚ this essay will attempt to compare and contrast between two known personality tests‚ the Five-factor
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interval of the difference was between 5.09 and 6.17. Group Statistics Respondent’s sex N Mean Std. Deviation Std. Error Mean Hours per day watching TV Male 382 3.01 2.648 .135 Female 524 3.00 2.497 .109 Independent Samples Test Levene’s Test for Equality of Variances t-test for Equality of Means F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper Hours per day watching TV Equal variances assumed .221 .638 .068 904 .946
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