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Browsing by Author "Fehintola J. O."

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    Communicating Statistical Results to Non-Statistician
    (Faculty of Education, Ekiti State University, Ado-Ekiti, 2018) Fehintola J. O.
    In this write up, the researcher has stated that different statistical methods are meant for spécifie purposes and that Chi-square is meant to measure association, t-test is for measuring significance différence, while F-test is meant to détermine significant différence when we haue more than two groups and AFIOVA is meant for measuring the significant différence when we haue pre-score and post-score most especially when we carry out an experimental study. Corrélation and Régression analysis is meant for détermination of relationship between two or more uariables and for prédiction purpose. Therefore, there are seuen factors to be put into considération in the course of chosen appropriate test statistics in the course of analysing data. The factors are: research design, hypothesis/ research question wordings, past research work, nature and data arrangement, and scales of measurement which the data to be analysed belong to, by Consulting the experts and finally by considering the research topic/title. Finally, the researcher concluded that for anybody to make meaning from the computer printout analysis, one must understand the usefulness of degree of freedom, p-ualue and leuel of significance.
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    Evaluation of the effectiveness of computer-assisted instruction and conventional teaching method in enhancing mathematics achievement among senior Secondary school students in Ibadanland.
    (Department of Vocational Education University of Uyo, 2018) Fehintola J. O.
    This study investigated the effects of a computer-assisted instructional technology application to teach statistics on a sample of senior secondary school students. A total number of 40 subjects, 25 in an experimental group and 15 in a control group were used and the pre and post-test experimental research design was adopted. Achievement test on statistics was applied on both groups. The experimental group was taught with the aid of computer-assisted instruction on electronic instructional slides using Microsoft PowerPoint. During the training session teaching-learning process were done using computer-assisted instructional technology and vivid explanation were given to the experimental group and the control group was subjected to conventional teaching method. After eight weeks, both groups were given the Statistics achievement test again. Using Analysis of Covariance (ANCOVA) at α = 0.05, F = 12.562, df = 2/38, p < 0.05 and Eta Square = 0.398. The findings revealed significant difference between the two groups and it’s favoured the experimental group over the control group in the Statistics achievement test scores. Therefore, researcher concludes that computer-assisted instructional technique can enhance the academic performance of the students, and recommended that the expansion of computer-assisted instructional aide/applications to other subjects will promote teaching-learning process and will enhance academic performance of the learners generally

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