BAYBURT University Information Package / Course Catalogue

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Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İNG214.1StatisticsElective244
Level of Course Unit
First Cycle
Objectives of the Course
To learn the basic concepts of statistics, analysis and reviews statistical problems encountered.
Name of Lecturer(s)
Learning Outcomes
1Learn the methods of sampling and sample selection.
2Edit the data and analyze.
3Learn and use methods of estimation.
4Apply hypothesis testing.
Mode of Delivery
Normal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Students will comprehend gauss distribution, sampling distributions, estimation, confidence intervals, hypothesis testing, power of test, chi-square test.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Introduction Properties of the normal distribution, calculating the mean and standard deviation , using the standard normal distribution table
2Normal approximation to the binomial distribution, continuity correction and calculation of probability, the use of the table for given probability
3Some continuous distributions and their characteristics, sampling and sample selection methods, Introduction to Data Analysis, Frequency Chart, Histogram, frequency polygon drawing
4Measures of central tendency (mean, median, mode, geometric mean, harmonic mean)
5Measures of Dispersion, Dal leaf display, Box drawing, Coefficient of Variation
6Sampling Distributions and estimation, point estimation, estimators, mean and variance of the sample properties
7Interval estimation for the population mean, t-distribution, (known and unknown, while sigma), chi-square, F distribution, sample size calculation
8Midterm
9The range for the population variance estimation, interval estimation for the difference between two population means (mass variances are known, unknown)
10Estimation for the proportion of variance , interval estimation for the binomial parameter p, the interval for the difference of two binomial parameter estimation
11Hypothesis tests, simple hypothesis testing, hypothesis testing for the population mean (variance of the population is known, unknown)
12Hypothesis testing for population the variance , hypothesis testing for the difference in the two group averages
13Hypothesis test for the equality of population averages
14Chi-square tests
15Classification tables and problem-solving
16Final Examination
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
English
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination111
Attending Lectures14342
Practice16232
Self Study16348
TOTAL WORKLOAD (hours)124
Contribution of Learning Outcomes to Programme Outcomes
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40
LO1                                212     
LO2                                111     
LO3                                211     
LO4                                121     
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High