Information Package

BUS248

STATISTICS II

Course Code
BUS248
Semester
Fourth Term (Spring)
Theory+Practice
3 + 0
ECTS
6
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study2
SemesterFourth Term (Spring)
ECTS6
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. To provide the students with the knowledge and skills to collect, analyze and interpret data while solving scientific and practical problems that the students will encounter in their fields.
  2. To gain the knowledge of which kind of research question can be answered by which statistical method.
Mode of DeliveryFace to face
PrerequisitesYes(BUS245)
Recommended Optional Programme ComponentsNo
Course DescriptionThis course is a continuation of BUS 245. Sampling Distributions. Techniques for Drawing Samples. Point and Interval Estimation. Estimation of Means, Variances, Difference, Proportions. Inference based on Single and two Samples; Estimation and Tests. Comparison of Independent and Paired Samples. Analysis of Variance; Regression Analysis, Least Square Method, Model Selection. Students who miss more than 30% of total class hours receive an F2 grade.
Course Contents
WEEK TOPICS
1st Week Review of statistics 1-
2nd Week Single Sample Hypothesis Tests
3rd Week Single Sample Hypothesis Tests-continue
4th Week Two-Sample Z-test and t-test (unequal variances)
5th Week Variance Analysis and Two-Sample t-test (equal variances)
6th Week Hypothesis tests for proportions
7th Week Midterm
8th Week p-value and paired sample t-test
9th Week Analysis of variance
10th Week Correlation
11th Week Simple Regression Model
12th Week Multivariate Regression
13th Week Chi-Square tests(GOF and independence test)
14th Week Overview and question solving
Recommended or Required ReadingBerenson, M., Levine, D., Kerehbiel, T., Stephan, D. (2011). Basic Business Statistics with MyMathLab Global, Global Edition, 12/E Prentice Hall.
Planned Learning Activities and Teaching Methods
  • Questions/Answers
  • Discussion
  • Lecture
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Quiz 4 10
Total(%) 50
Contribution of In-term Studies to Overall Grade(%) 50
Contribution of Final Examination to Overall Grade(%) 50
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 1.5 1.5
Preparation for Quiz
Individual or group work 14 2 28
Preparation for Final exam 1 65 65
Course hours 14 3 42
Preparation for Midterm exam 1 45 45
Laboratory (including preparation)
Final exam 1 1.5 1.5
Homework
Total Work Load183
Total Work Load / 30 (h)6.1
ECTS Credit of the Course6
Language of InstructionEnglish
Work Placement(s)No
LO1 LO2
K1 X
K2 X
K3 X X
K4
K5 X X
K6
K7
K8
K9
K10
K11
K12 X
K13