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The Motivation of Students Toward Enrolling to Education College Departments in Tikrit University
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The research aims to identify motivated to join the Evening Studies students to the College of Education at the University of Tikrit sections. In addition to knowledge of the differences in the degree of motivation of students according to gender, specialty, educational stage. To achieve the objectives of the research scholar us a measure consisting of (34) paragraph formulated positively, have been applied to a stratified random sample strength (500) students.

    The results showed that the degree of motivation was very big on all areas of the college and class, reaching the percentage of response (84.3%), and professional motives came first prize as a percentage of (93.8%), in addition to the lack of statistically significant differences motives in enrollment due to the variable sex and specialization, with statistically significant differences due to the variable phase of study and in favor of the first phase. The researcher recommended a number of recommendations, including: appropriate to accept Evening Studies students develop a policy with an emphasis on the principle of quality, not quantity, and the promotion of investment and the motives of the enrollment of students in motivating them to develop their professional performance.  

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Publication Date
Wed Apr 25 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution
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        In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through  Monte Carlo simulation technique were made depend on mean squared error (MSE)  criteria

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