COURSE UNIT TITLE

: PROBABILITY AND STATISTICS II

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 1012 PROBABILITY AND STATISTICS II COMPULSORY 4 0 0 6

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR SELMA GÜRLER

Offered to

Statistics
Statistics(Evening)

Course Objective

To introduce; discrete and continuous probability models, how to calculate probabilities from special probability distributions, sampling distributions, central limit theorem, how to form confidence intervals and hypothesis testing, and how to calculate covariance and correlation.

Learning Outcomes of the Course Unit

1   Calculating probabilities, expected value and variance with some special discrete distributions
2   Calculating probabilities, expected value and variance with some special continuous distributions
3   Using sampling distributions
4   Applying central limit theorem
5   Constructing confidence interval for various parameters
6   Testing statistical hypothesis for various parameters
7   Calculating covariance and correlation coefficient

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Special Discrete Distributions (Bernoulli, Binomial)
2 Special Discrete Distributions (Hypergeometric, and Poisson)
3 Special Continuous Distributions (Uniform, Normal)
4 Special Continuous Distributions (Standard Normal, Exponential) Using a Normal Distribution to Approximate Binomial Probabilities
5 Sampling Distributions and The Central Limit Theorem
6 Confidence Interval for a Population Mean: Normal (z) statistic and Student s t-statistic
7 Large Sample Confidence Interval for a Population Proportion, Confidence Intervals for a Population Variance (Chi-square distribution).
8 Midterm Exam
9 The Elements of a Test of Hypothesis, Test of Hypothesis About a Population Mean: Normal (z) statistic and Student s t-statistic
10 Large Sample Test of Hypothesis about a Population Proportion
11 Test of Hypothesis About a Population Variance
12 Comparing Two Population Means: Independent Samples and Paired Difference Experiments
13 Comparing Two Population Proportions
14 Covariance and Correlation Coefficient

Recomended or Required Reading

Textbook(s): J.T. McClave and T. Sincich, Statistics, 12th Edition, Prentice-Hall.
Supplementary Book(s):
P. Newbold, W. L. Carlson, B. Thorne, Statistics for Business and Economics, Seventh Edition, Pearson Education , 2010

Planned Learning Activities and Teaching Methods

Since this is a multi sectional lecture the grades will be evaluated with 40% of the midterm exam, 10% homework-quiz and 50% of the final exam but these grades will be shown as 100% final note on the system.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 FIN FINAL EXAM
2 FCG FINAL COURSE GRADE FCG * 1
3 RST RESIT
4 FCGR FINAL COURSE GRADE (RESIT) FCGR * 1

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams and homeworks

Language of Instruction

English

Course Policies and Rules

Students will come to the class in time. Attending the 70% of the classes is mandatory

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-mail: aylin.alin @deu.edu.tr
Tel: 0232 301 85 72
e-mail: selma.erdogan@deu.edu.tr
Tel: 0232 301 85 71

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 4 52
Preparations before/after weekly lectures 12 1 12
Preparation for midterm exam 1 24 24
Preparation for final exam 1 35 35
Preparing assignments 3 4 12
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 139

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.155443
LO.255443
LO.355443
LO.455443
LO.555443
LO.655443
LO.755443