MAS115 – Statistics (Practical)

Module designation

Statistics (Practical) (MAS115)

Semester(s) in which the module is taught

4^th

Person responsible for the module

Asri Bekti Pratiwi, M.Si.

Language

Indonesian

Relation to curriculum

Compulsory / elective / specialisation

Teaching methods

Lecture, practice, and discussion

Workload (incl. contact hours, self-study hours)

1×170 minutes (2×50 minutes lecture and lesson and 1×70 minutes self-study) per week for 16 weeks

Credit points

1 CP (1,6 ECTS)

Required and recommended prerequisites for joining the module

Statistics I and Statistics II (simultaneously)

Module objectives/intended learning outcomes

General Competence (Knowledge):

Able to analyze data simply with the help of Minitab software and able to interpret the output.

Specific Competence: student capable of

1.      Understanding syntax and its use in Minitab Software.

2.      Analyzing data using descriptive statistical methods with the help of Minitab software.

3.      Calculating the probability of random variables that have discrete and continuous probability distributions using Minitab software.

4.      Calculating the probability of a random variable with a sampling distribution of mean, proportion and variance using Minitab software.

5.      Estimating confidence intervals for the mean, difference between two means, proportion, difference between two proportions, variance, and ratio of two variances using Minitab software.

6.      Testing the average, difference between two means, proportion, difference between two proportions, variance, and ratio of two variances using Minitab Software.

7.      Testing the distribution of random variables, independence between two variables, and several proportions using Minitab software.

8.      Testing normality and homogeneity of variance of data using Minitab software.

9.      Testing the average of k populations using one-way, two-way, and factorial design variance analysis tables with the help of Minitab software.

10.  Performing inference on simple linear regression models using Minitab software and interpret the output.

11.  Testing the suitability of a simple linear regression model using Minitab software and interpreting the output.

Content

Introduction to Minitab, Descriptive Statistics, Probability Distribution, Sampling Distribution, Confidence Hose, Hypothesis testing, Chi-square Test Statistics, Normality and Homogeneity Test, Variance Analysis, Correlation and Regression, Regression Model Fit Test.

Examination forms

Essay

Study and examination requirements

Students are considered to pass if they at least have got final score 40 (D).

Final score is calculated as follow: 10% softskill + 20% test + 35% midterm + 35% final exam.

Final index is defined as follow:

Reading list

1.      Dowdy S, Weardon S, and Chilko D, 2004, Statistics for Research, Third Edition, John Wiley & Sons, Inc, Canada.

2.      Steel, Robert G.D and Torrie, James H (Translator Sumantri, Bambang), 1980, Prinsip Dan Prosedur Statistik Suatu Pendekatan Biometrika, Penerbit PT Gramedia Pustaka Utama, Jakarta.

3.      Walpole, RE, 1995, Pengantar Statistika, Third Edition, Gramedia, Jakarta.

4.      Walpole, RE & Myers, RH, 1995, Ilmu Peluang dan Statistika untuk Insinyur dan Ilmuwan, Translator: Sembiring, RK, Fourth Edition, Penerbit ITB, Bandung.