| Course Objectives: |
The purpose of this course is to equip students with an understanding of descriptive statistics and analytical thinking. Discussions will range from key concepts to useful data resources. Among topics covered are: Data collection, summarizing and presenting techniques, probability theory, discrete and continuous random variables, discrete probability distribution, continuous probability distribution, sampling distributions, inferential statistics, confidence intervals, hypothesis testing and simple correlation. |
| Course Content: |
• Population, sample, decision-making in statistics, uncertainty
• Understand the concept of uncertainty and Probability Theory
• Understand the concept of discrete random variables and discrete probability distributions
• Sampling Distributions
• Building confidence intervals
• Understand the concept of Hypothesis testing
• Calculate sample covariance and correlation coefficients and interpret their meanings |
| Week |
Subject |
Related Preparation |
| 1) |
• Population, sample, decision-making in statistics, uncertainty
|
none |
| 2) |
• Mean, median, mode, range |
• Review the Syllabus
Watch the video: Introduction to Statistics
|
| 3) |
• Variance, standard deviation, histograms, bar and pie-charts |
• Watch the videos: ÖF İstatistik Dersi Ders 1 Ünite 2 |
| 4) |
• Random experiment, outcomes, events, Probability Theory, permutations, combinations |
Videoları izleyin |
| 5) |
• Probability rules, bivariate probability, Bayes' theorem |
Watch videos: |
| 6) |
• Discrete random variables
• Probability distributions for discrete variables
• Expected value
• Joint Distribution
• Binomial Distribution
• Poisson distribution
• Hyper Geometrical Distribution
|
Watch the videos |
| 7) |
• Continuous random variable
• Probability Distribution
• Expected value
• Joint Distribution
• Normal Distribution
• Empirical Rule
|
watch the videos |
| 8) |
• sampling of a population
• sampling distribution of the sample mean
• sampling distribution of the sample variance
• sampling distribution of the sample proportion
|
Watch the videos |
| 9) |
• Confidence interval when Population variance is known
• Confidence interval when Population variance is unknown
• Student's t distribution
• Confidence interval for a Population proportion
|
Watch the videos |
| 10) |
• Confidence intervals for population mean population known/ population unknown/proportion/variance/difference in means |
|
| 11) |
• Null hypothesis, alternative/research hypothesis, type-1 error, type-2 errors, power of the test
• Hypothesis testing of the population mean when the population variance is known
• Hypothesis testing of the population mean when the population variance is unknown
|
|
| 12) |
• Hypothesis test of the population proportion
• Hypothesis test of the population variance
• Hypothesis test of the difference of two population mean
• Hypothesis test of the difference between two population proportions
|
|
| 13) |
• Correlation
• Hypothesis testing
|
|
| 14) |
• Review of the material covered during the entire semester |
|
| 15) |
final sınavı |
|
| |
Program Outcomes |
Level of Contribution |
| 1) |
Discloses basic knowledge of international logistics, including development process, new and determinative concepts, scientific methodology, theory and models of logistics discipline. |
|
| 2) |
Uses appropriate tools and analytical techniques to collect and analyze quantitative and qualitative data in relevant areas, interpret the results and suggest solutions. |
|
| 3) |
Designs a logistics system that will support the business mission and objectives. |
|
| 4) |
Identifies uncertainties in the logistics and supply chain processes and takes measures to mitigate risks. |
|
| 5) |
Can discover and create entrepreneurial opportunities and experience to successfully build and develop self-employment. |
|
| 6) |
Analyzes the complex and rapidly changing conditions, the dynamics of the national / international business world, the relevant international logistics and supply chain environment |
|
| 7) |
Can translate and explain the contents of documents written in English related to the field. |
|
| 8) |
Communicates in written and spoken English with people of different social backgrounds, has global competence in tracking and interpreting global dynamics in logistics and supply chain fields. |
|
| 9) |
Can demonstrate personal, professional, social and work ethic standards, assesses the ethical dimensions of the various applications in relevant fields, and becomes aware of the importance of ethical behavior in the process of collecting value added. |
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ISTANBUL OKAN UNIVERSITY INFORMATION PACKAGE / COURSE CATALOGUE
