COURSE UNIT TITLE

: STATISTICS II

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 1016 STATISTICS II COMPULSORY 4 0 0 7

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR IDIL YAVUZ

Offered to

Statistics
Statistics(Evening)

Course Objective

This course is fundamental to Statistics education. The goal is to help students learn necessary skills to calculate probabilities using sampling distributions, grasp the central limit theorem, form confidence intervals, perform hypothesis testing and to interpret covariance and correlation.coefficient.

Learning Outcomes of the Course Unit

1   Calculating probabilities using the sampling distribution of the sample mean
2   Applying the central limit theorem
3   Sampling distributions: Calculating probabilities using t and Z distributions
4   Sampling distributions: Calculating probabilities using F and chi-squared distributions
5   Constructing confidence intervals for the mean, proportion and variance
6   Testing statistical hypothesis about the mean, proportion and variance
7   Interpreting 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 Sampling distribution, sampling distribution of the sample mean
2 Properties of sampling distributions and the central limit theorem
3 Sampling distributions: t, Z, F, Chi-squared
4 Sampling distributions: t, Z, F, Chi-squared
5 Interval estimation (confidence intervals), confidence interval for the population mean
6 Large sample confidence interval for the population proportion, confidence interval for the population variance
7 The elements of a test of hypothesis
8 One sample test of hypothesis about a population mean
9 One sample test of hypothesis about a population mean: Student's t-statistic
10 Large sample test of hypothesis about a population proportion, Test of hypothesis about a population variance
11 Comparing two population means: Independent samples and paired difference experiments
12 Comparing two population proportions
13 Comparing two population variances
14 Covariance and correlation coefficient

Recomended or Required Reading

Textbook(s):
J.T. McClave and T. Sincich, Statistics, 12th Edition, Prentice-Hall, 2011.
Supplementary Book(s):
P. Newbold, W. L. Carlson, B. Thorne, Statistics for Business and Economics, 7th Edition, Pearson Education, 2010.

Planned Learning Activities and Teaching Methods

Lectures and problem solving

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 VZ Vize
2 FN Final
3 BNS BNS VZ * 0.40 + FN * 0.60
4 BUT Bütünleme Notu
5 BBN Bütünleme Sonu Başarı Notu VZ * 0.40 + BUT * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams.

Language of Instruction

English

Course Policies and Rules

Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at https://fen.deu.edu.tr/en/

Contact Details for the Lecturer(s)

e-mail:idil.yavuz@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 4 56
Preparations before/after weekly lectures 14 1 14
Preparation for midterm exam 1 50 50
Preparation for final exam 1 60 60
Preparation for quiz etc. 0 0 0
Preparing assignments 0 0 0
Midterm 1 2 2
Final 1 2 2
Quiz etc. 0 0 0
TOTAL WORKLOAD (hours) 184

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