Course Syllabus


Office Hours: Monday 11:00-12:00, my office 1st Floor.

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Catalog Description


Statistics II aims to cover all major aspects of the statistical theory. There are many examples and problems concerning diverse application areas that will show the pertinence of statistical methodology to solving real-world problems. We draw inferences about a set of the data, when only a subset of the data is observed. We develop procedures for analyzing the data that in some sense have a random character. We provide an associated measure of the goodness for the statistical inferences, using the confidence level or significance level.


Prerequisite:  Statistics I


Course Purpose:

The main purpose of Statistics II is the collection, analysis, interpretation, and presentation of qualitative or numerical data for assisting in making more effective decisions.

One of the main aims is to prepare advanced undergraduate students in the theory of mathematical Statistics, with emphasis in interdisciplinary applications. The usefulness of each statistical method introduced is illustrated by several relevant examples.


Required Readings:

Main textbook: Lind, Marchal, and Wathen, Basic Statistics for Business & Economics, eighth edition, McGraw-Hill, 2013.


Additional textbooks:

  • Attwood, G. Dyer, and G. Skipworth, Statistics 1, Heinemann Modular Mathematics, 2000.
  • Attwood, G. Dyer, and G. Skipworth, Statistics 2, Heinemann Modular Mathematics, 2000.


Course Objectives

Upon completion of this course, students should be able to:

  1. Develop confidence intervals for the population mean in large sample case as well as in small sample case.
  2. Test the hypothesis, using five-step procedure for one-sample tests or two-sample tests.
  3. Know and apply ANOVA method and associated tests.
  4. Develop linear regression analysis and correlation analysis.
  5. Analyze and solve problems of statistical nature in various fields of business: management, marketing, finance, and also in economics, political sciences, psychology, biomedicine, etc..


Content of the Course


  • Estimation and confidence intervals

Point estimate for the population mean. Point estimate for the standard deviation of the population. Confidence interval for the population mean (n≥30). Confidence interval for the population mean (n<30). Sample size for estimating the population mean.

  • One-sample test of hypotheses

What is a hypothesis? What is a hypothesis testing? Five-step procedure for testing a hypothesis. One-tailed and two-tailed tests of significance. Testing for a population mean with a known standard deviation. Large sample, σ unknown. Small sample, σ unknown.

  • Two-sample tests of hypothesis

Variance of differences in means. Test statistic for the difference between two means.

  • Analysis of variance (ANOVA)

The F distribution. Comparing two population variances. ANOVA assumptions. The ANOVA test.

  • Correlation and linear regression

What is correlation analysis? The coefficient of correlation. The coefficient of determination. t test for the coefficient of correlation. Regression analysis and regression equation. Last squares principle. General form of linear regression equation. Drawing the line of regression. Standard error of estimate. Assumptions underlying linear regression The relationships among the coefficient of correlation, coefficient of determination, and the standard error of estimate.


Course Requirements


Participation: Participation extends beyond mere attendance. Active participation is meant as the effort and the interest that a student shows in the class, including homework. After each session students are expected to study all the relevant material, read all the associated exercises, identify the difficult points and pose their questions in the next session either directly to me or in the class. You may miss up to three classes without penalty – your first two absences count whether you have a good excuse or not. Each absence beyond the first three will cost you points off of your participation grade. The only exceptions to this rule are severe illness (doctor’s note required) and UNYT approved trips/activities. Appropriate documentation for absences beyond the first three is necessary the class day directly before or after the one you miss. You are expected to attend class and I do keep attendance records. In general: this class is intensive and interactive. Missing class could seriously affect your grade! Students who are absent more than 20% of the total hours of the semester (i.e. 9 hours) may be required to withdraw from the course.


Class conduct: Exams are closed books. Also, you use your own calculator and nothing else will be allowed. Mobile phones are strictly not tolerated in the class for any use (including computations). Cheating and plagiarism in any form will result immediately in the grade F.

Students are reminded not to approach the instructor for copies of the previous week’s materials during, or immediately after class. Students are expected to collect materials from their classmates or see the instructor during the office hours.

Students are responsible for everything that is announced, presented or discussed in class. The way to avoid any misunderstanding associated with this course is to attend class. Please, be courteous during class; both to me and your colleagues. I find late arrivals distracting, which cause a decline in the quality of my lecture. Importantly, it is also disruptive to your colleagues. Please, refrain from talking during class; it is disruptive to your colleagues and the lecture. I expect the best behavior from all of you. This is what education is all about. Please, consider that the language of instruction is English, so all our conversation into the class must be in this language.


Exams: Two examinations will be taken, a midterm exam during week seven of the course and a final exam covering all course content during the final examination period. Exam format may combine a mixture of short answer, true/false, matching, sort answer, and reasoning problems covering all readings, lecture, hand-out and class discussion content. Another test will be included in the period between the midterm and final exam.



Final Examination: Monday, February 08, 2016, Time: 13:00 -16:00, Class 3A.  



General Requirements

Deadlines in submitting the homework are critical. Therefore, late assignments and absence from tests will not be tolerated.   In the event of illness or emergency, contact your instructor IN ADVANCE to determine whether special arrangements are possible. The University’s rules on academic dishonesty (e.g. cheating, plagiarism, submitting false information) will be strictly enforced. Please familiarize yourself with the STUDENT HONOUR CODE, or ask your instructor for clarification.


Criteria for Determination of Grade


Active Participation & Homework 10%
Midterm exam  30%
Test 30%
Final exam 30%



Grading scale follows the official UNYT as below:


Letter Grade Percent (%) Generally Accepted Meaning
           A 96-100 Outstanding work
           A- 90-95
           B+ 87-89 Good work, distinctly above average
           B 83-86
           B- 80-82
           C+ 77-79 Acceptable work
           C 73-76
           C- 70-72
           D+ 67-69 Work that is significantly below average
           D 63-66
           D- 60-62
           F 0-59 Work that does not meet minimum standards for passing the course



Technology Expectations: usage of power-point, excel, word.  Students must keep copies of all assignments and projects sent by e-mail.

Assignments are to be word-processed and converted into pdf files. Continuing and regular use of e-mail is expected.


STUDENTS: If you feel that you have encountered special learning difficulties or serious problems that interfere with your studies, please make an appointment with UNYT Counseling Center, Dr. E Cenko ( and/or the Academic Support Center, Dr. A Canollari ( They are trained to help students with learning difficulties and have offered to provide this service to our students, just as it is offered in all American universities; you can also discus with your academic advisor.

Date Prepared: October 2, 2015

Prepared by Dr. Emira Smokthina


Faculty: Business &Economics.

Department: Maths & N.Sciences.

Grade: Undergraduate.

Majors: Business.

Study Fileds: Accounting, Business Administration, Economics, Finance, Management, and Marketing.

Course Year: 2.

Course Program: UNYT.

Scheduele: Monday 13:00-16:00, Class 3A.

Instructor: Dr. Emira Smokthina


Prerequisite: Statistics I