study habits and academic Achievement in science among X standard students Dr.R.Sivakumar Assistant Professor Education Wing - DDE Annamalai University rsk_edutech@yahoo.co.in Abstract This article investigates the relationship between study habits and students’ academic achievement in science subjects of X standard students. The aim was to determine the relationship between various aspects of study habits and students’ achievement in Science. This was meant to provide a clear
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the teacher. The second part lists the In-direct punishments‚ which enumerates non-corporal punishments. The data obtained were statistically analyzed using mean‚ standard deviation‚ student’s t-test‚ analysis of variance (ANOVA) and correlation coefficient. The result indicated that punishment does not have any effect on academic achievement of CBSE and Matriculation school children‚ whereas‚ punishment has a positive effect on academic achievement of State Board school children. INTRODUCTION Discipline
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Lab Activity 3 ACTIVITY 1 http://math.colgate.edu/math102/dschult/examples/ANOVA/anovanc.html A researcher would like to find out whether a man’s nickname affects his cholesterol reading (though it is not clear why she believes it should). She records the cholesterol readings of 23 men nicknamed Sam‚ 24 men nicknamed Lou and 19 men nicknamed Mac; her data appears in the table to the right. She wants to know whether the differences in the average readings are significant; i.e.‚ whether the average
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value of portfolio) x (2.33 x m ) = $10m x (2.33 x .015) = $10m x .03495 = $0.3495m or $349 500 VAR = $349 500 x 5 = $349 500 x 2.2361 = $781 505.76 14. Calculate the DEAR for the following portfolio with and without the correlation coefficients. Estimated Assets DEAR S‚FX S‚B FX‚B Stocks (S) $300 000 -0.10 0.75 0.20 Foreign exchange (FX) $200 000 Bonds (B) $250 000 What is the amount of risk reduction resulting from the lack of
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Journal of Management 2004 30(2) 285–304 Social Loafing: A Field Investigation Robert C. Liden∗ Department of Managerial Studies‚ MC 243‚ University of Illinois at Chicago‚ 601 S. Morgan‚ Chicago‚ IL 60607-7123‚ USA Sandy J. Wayne Department of Managerial Studies‚ MC 243‚ University of Illinois at Chicago‚ 601 S. Morgan‚ Chicago‚ IL 60607-7123‚ USA Renata A. Jaworski Department of Managerial Studies‚ MC 243‚ University of Illinois at Chicago‚ 601 S. Morgan‚ Chicago‚ IL 60607-7123‚ USA Nathan
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on Selection and Recruitment: HAL Organisational Setting HAL is a multisited corporation‚ with its head office in Milton Keyes. HAL is involved in the manufacture and distribution of data transmission devices (for example‚ minicomputers and work stations). It has developed from its origins in the 1920s as a small family firm which manufactured telephone handsets‚ to a major conglomerate employing over 10‚000 people. Data transmission is a rapidly changing market with many competitors‚ two of
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The Special Issue on Contemporary Issues in Business and Economics © Centre for Promoting Ideas‚ USA Consumers’ Purchase Intentions in Fast Food Restaurants: An Empirical Study on Undergraduate Students Huam Hon Tat * Seng Sook-Min Thoo Ai-Chin Amran Rasli Abu Bakar Abd Hamid Department of Management Faculty of Management and Human Resource Development Universiti Teknologi Malaysia‚ 81310 UTM Skudai‚ Johor‚ Malaysia Phone: +607-5531816‚ E-mail: huam@utm.my‚* Abstract The fast food industry
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2.4 Six minute walking test: Six minute walk test was developed in 1963 by Balke to evaluate functional capacity. Different variations of the timed walk have been tested‚ and the six minute timed walk was recommended given its reproducibility and ease of administration compared to longer timed tests. A functional test might be a more valuable tool& cost effective (Nixon et al.‚ 1992) for measuring cardio respiratory fitness in the population and detecting change in cardio respiratory fitness. One
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PEARSON’S PRODUCT-MOMENT CORRELATION COEFFICIENT ANSWERS TO EXERCISE 23 Question 1 The r value for the relationship between Hamstring strength index 60o and the Shuttle run test is -0.149. This r value shows a weak correlation between the two variables‚ as it is less than the 0.3 threshold for significance. Therefore‚ the r value is not significant. Question 2 Between r=1.00 and r=-1.00‚ there is no difference in terms of strength. Both values are on the extreme ends of the spectrum and signify
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the study. The study was correlational because the study sought to establish the extent of relationship between broken homes and academic achievement. The statistical method used in analyzing the data was the Pearson product moment correlation coefficient (r). Reliable and validated questionnaires which were designed to elicit information on the hypotheses of study were used. Six senior secondary schools were randomly selected for the study. One hundred and fifty respondents from single parent homes
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