This study aimed at investigating the effect of using computer in
Efficiency of Training Programme of Science Teachers in Ajloun District in
Jordan.
1- What is the effect of using computer in program for the two groups
2- ( the experimental and control group ) .
3- Are there any statistics different in the effect of using computer
program for the two groups ?
4- Are there any statistics (comparison ) or different of the effect of the
effect of using computer program refer to the sex (male or female )?
The community of the study consisted of all the science student in
educational directorate of Ajloun district for the academic year 2009 –
2010, they are (120) ( male and female) . The sample of the study
consisted of (60) male and female student were selected and distributed
randomly , the control group which are (30) was trained through
traditional method .and the experimental group (30) was trained
through computer method . This study consists of training programme
which enhances professional development of student . The researchers
used multiple choice achievement test which consisted of (30) items . Its
content validity was checked through judgment by (8) experts in
education . It ycnetsisnoc lanretni hguorht dekcehc saw ytilibailer sۥ
using KR-20 the reliability coefficient was (.84 ) The researchers
analyzed the study data by using Two -Way ANOVA and ANCOVA .
Excessive skewness which occurs sometimes in the data is represented as an obstacle against normal distribution. So, recent studies have witnessed activity in studying the skew-normal distribution (SND) that matches the skewness data which is regarded as a special case of the normal distribution with additional skewness parameter (α), which gives more flexibility to the normal distribution. When estimating the parameters of (SND), we face the problem of the non-linear equation and by using the method of Maximum Likelihood estimation (ML) their solutions will be inaccurate and unreliable. To solve this problem, two methods can be used that are: the genetic algorithm (GA) and the iterative reweighting algorithm (IR) based on the M
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