Breast cancer is becoming the major factor of death amongst women in the world. However, it is found that longer lifespan of this disease’s patients can be guaranteed through early detection and accurate diagnosis of this disease. When it comes to the treatment given to patients, a doctor needs to put his/her knowledge and experience in practice by specifying the source of the suspected disease (out of a list of the possible causes with similar symptoms). This is followed by confirming the diagnosis through a number of tests. Therefore, identifying the disease without receiving assistance from intelligence systems is time consuming. The objective of this study is to introduce the intelligence system which develops Random Binary Search algorithm-based feature selection in Mahalanobis Taguchi System (MTS). It is also with the purpose to validate the techniques of feature selection problems which are computationally efficient, and to apply Random Binary Search algorithm in solving medical classification problems. In this study, in order to improve the step of choosing the most useful variables, Random Binary Search (RBS) algorithm is proposed, which is incorporated between MTS. Besides being a relatively new statistical methodology where various mathematical concepts are combined, MTS is used in the field of diagnosis and classification in multidimensional systems. It is also a highly efficient method, and it has been utilized in a wide range of disciplines such as engineering, medical, financial, and more. Datasets of medical fields, which were concerning cancer, diabetes and hepatitis, were used in this study. Besides, binary class classification problems were also represented by these data sets.

The purpose of this paper is to study the trend performance of the first year engineering students at a public university in Mathematics course: Engineering Mathematics I. We analyze how ethnicity factor influenced students’ performance in mathematics course over three years period. The performance of the undergraduate students in this study is measured by their cumulative grade point average (CGPA) in the first semester. Analysis of Variance (ANOVA) will be used to test the significance difference between three variables (Malay, Chinese and Indian). Method of simple linear regression (SLR) is used to test the relationship between the performances and to predict the future performance for this course. The findings of the study show that Chinese students perform better than Malay and Indian students.

The paper aims to explore the academic performance between genders (measured by cumulative grade point average (CGPA) in the first semester for a three year period) of undergraduate engineering students in Mathematics course at a public university in Malaysia. It also examines the influenced of gender towards academic performance and to find the significant difference between gender in these three years period. A random sample of more than 1000 students drawn from engineering students was chosen. Descriptive statistics used to present the main characteristics of the student. The study relied on analysis mean and z –test to analyse the data collected. The results generated revealed that the means of cumulative grade point average (CGPA) for Mathematics were slightly below 3 for both genders. The result of z-test method differs significantly across the gender for a three year period. There are a number of limitations between male and female students associated with this study. Second, this study has limitation about the difference of the academic background of the students that will give impact to their performance in their result at university. The present study is the first attempt to explore the performance of undergraduate engineering students among difference gender in the Mathematics course.

The purpose of this paper is to examine the performance of the liquid-liquid extraction in Rotating Disc Contactor (RDC) Column that being used in industries. In this study, the performance of small diameter column RDC using the chemical system involving cumene/isobutryric asid/water are analyzed by the method of design of the experiments (DOE) and also Multiple Linear Regression (MLR). The DOE method are used to estimated the effect of four independent. Otherwise, by using Multiple Linear Regression (MLR) is to justify the relationship between the input variables and output variables and also to determine which variable are more influence for both output variable. The input variables for both method include rotor speed (Nr); ratio of flow (Fd); concentration of continuous inlet (Ccin); concentration of dispersed inlet (Cdin); interaction between Nr with Fd; interaction between Nr with Ccin; interaction Nr with Cdin. Meanwhile the output variables are concentration of continuous outlet (Ccout) and concentration of dispersed outlet (Cdout) on RDC column performance. By using this two method, we have two linear model represent two output of Ccout and Cdout for MLR. Lastly, the researcher want to determine which input variable that give more influence to output variable by using this two method. Based on the result, we obtained that rotor speed (Nr) more influence to dependent variable, Ccout and concentration of continuous inlet (Ccin) more influence to dependent variable, Cdout according the two method that was used.

Mathematics anxiety is a physiological barrier that affects all aspects of teaching and learning mathematics. It is a threat that mathematics lecturer must overcome in order to give a meaningful teaching and learning process. The purpose of this study was to explore mathematics anxiety among business students in University Malaysia Perlis. The research examines the differences in mathematics anxiety levels according to gender, race as well as highest entrance qualification utilizing quantitative approach. All the students in first year of business students were involve in answering the questionnaire. The instrument to measure mathematics anxiety level was Abbreviated Mathematics Anxiety Rating Scale (A-MARS). The study offer some insight regarding mathematics anxiety among gender, race and highest qualification entrance.

Statistics education has become increasingly important in today’s data-driven world, as the ability to analyze and interpret data is critical in many discipline Statistics education has become increasingly important in today’s data-driven world, as the ability to analyze and interpret data is critical in many discipline