2 results
Search Results
Now showing 1 - 2 of 2
Item Open Access Factors affecting the college speciality selection of Kazakhstani students(2020 International Young Scholars Workshop, 2020) Assanbayeva G.Abstract. In this talk we discuss factors that influence and impact Kazakhstani students when it comes to decide major selection.To analyse and study factors,we surveyed 314 students over 16 universities of Kazakhstan (including private, semi-government and government universities). In the previous joint work with (Assanbayeva & Kadyrov, 2020) factor analysis resulted 9 scales,namely,teacher impact,occupation salary impact,external impact,personal interest impact,personal skills impact,national test impact,university cost impact,parents impact,state grant impact.The main aim of the present work is to investigate main factors that influenced the Kazakhstani students most.The next goal is to find any differences in terms of gender when it comes to major selection factors.As most participants were among Suleyman Demirel University,we also wanted to see if there any differences between factors that influence Suleyman Demirel University students major selection to students of other local universities. The statistical data analysis show that students found themselves to be the most influential by 6 factors out of 9 ,namely,influence of state grant, influence of university cost, occupation salary impact, national test impact, influence of personal interest and influence of personal skills.Findings also suggested that, there is no difference between these 6 factors depending on gender.Also,no differences were found among university and factors.Item Open Access STATISTICS. Solved problems and exercises Part 2(Suleyman Demirel University, 2009) Aliyev H.N.Inferential statistics consists of methods that use sampie results to help make decisions or predictions about a population. The point and interval estimatıon procedures are forms of statistical inference. Another type of statistical inference is hypothesis testing. In hypothesis testing we begin by stating a hypothesis about a population characteristic. This hypothesis, called the null hypothesis, is assumed to be true unless suffıcient evidence can be found in a sampie to reject it. The situation is quite similar to that in a criminal trial. The defendant is assumed to be innocent; if suffıcient evidence to the contrary is presented, however, the jury will reject this hypothesis and conclude that the defendant is guilty. In statistical hypothesis testing, often the null hypothesis is an assumption about the value of a population parameter. A sampie is selected from the population, and a point estimate is computed. By comparing the value of the point estimate to the hypothesized value of the parameter we draw a conclusion with respect to whether or not there is a suffıcient evidence to reject the null hypothesis. A decision is made and often a specific action is taken depending upon wlıether or not the null hypothesis about the population parameter is accepted or rejected.