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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
DIST 109STATISTICS2 + 01st Semester2

COURSE DESCRIPTION
Course Level Associate's Degree
Course Type Elective
Course Objective The purpose of this course is to provide the student to use the data descriptive statistics. and, be able to use statistical research techniques.
Course Content Data, Convert the data series, Series to calculate the dimensions of variability, Probability, Do the analysis of random variables, To sample, Test species To test the relationship between the variables, Make the index calculations.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Collects and converts the data series.
2Evaluates the results of the data.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14PO 15PO 16PO 17PO 18PO 19PO 20PO 21PO 22PO 23
LO 001  3        5      3    
LO 002  3        4      3    
Sub Total  6        9      6    
Contribution00300000000500000030000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14228
Hours for off-the-classroom study (Pre-study, practice)13113
Mid-terms155
Final examination166
Total Work Load

ECTS Credit of the Course






52

2
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2019-2020 Fall1ÖZLEM FEDAİ DENİŞ
Details 2019-2020 Fall1ÖZLEM FEDAİ DENİŞ


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
DIST 109 STATISTICS 2 + 0 1 Turkish 2019-2020 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Lecturer ÖZLEM FEDAİ DENİŞ ofedai@pau.edu.tr BUMYO A0101 %
Goals The purpose of this course is to provide the student to use the data descriptive statistics. and, be able to use statistical research techniques.
Content Data, Convert the data series, Series to calculate the dimensions of variability, Probability, Do the analysis of random variables, To sample, Test species To test the relationship between the variables, Make the index calculations.
Topics
WeeksTopics
1 Data - Statistics Concept, Unit and Types Variables and Types, Statistics, Mass, and Types of Data Collection
2 Converting Data Series - Serial Types, Series Graphics Drawing, Frequency Series Graphics Drawing, Drawing Graphs Classified series, Graphs Plotting the cumulative series
3 Averages, Arithmetic Mean and sample analysis, and sample analysis Weighted Arithmetic Mean, Geometric Mean and sample analysis,
4 Quadratic Mean and sample analysis, and sample analysis Median, Mode, and sample analysis
5 The Range and sample analysis, mean deviation, and sample analysis, standard deviation and sample analysis, and sample analysis Coefficient of Variation
6 Experiment and Results, Simple and Compound Events, Probability Calculator, Probability Features, Classical Probability Rule, the relative frequency of probability, subjective probability rule, the counting rule, simple probability, conditional probability
7 Discrete Events, Independent and Dependent Events, Complementary Events, events, intersections and Multiplication Rule, Composition and Collection events Rule
8 Random Variables, Discrete Probability Distribution of a random variable, Discrete Variable Mean and Standard Deviation of a Random, Factorial and Combination,
9 Binomial Probability Distribution, Binomial Test, Binomial Probability Distribution and Binomial Formula, and the Binomial Distribution Format Chance of Success, Average and Standard Deviation of Binomial, Poisson Probability Distribution, Normal Distribution Curve Area Under Biliniyorken Determination of the Z and X, the relationship between binomial and normal distribution analyze
10 The sample and the census, to sample Causes, Stages of sampling, Sampling Methods, Probabilistic Non-Sampling Methods, Probabilistic Methods of Sampling, Sampling Distribution, Sampling Error Concept and Standard Error, Statistical Forecasting and Types, Point Estimates, December Estimates
11 Hypothesis Testing, Hypothesis Testing Types, Expression of hypotheses, determine the level of significance, Data Collection, Selection of test statistics, Statistical Decision Making, Decision on the Issuance of the problem, the main Mass Point Average on the Hypothesis Testing, Testing Main Mass Point Average on the large sample, Main Mass Point Average on the Small sample Test, on the Main Mass Ratio Test
12 Chi-Square Test of Independence and sample analysis, Chi-Square Test of Homogeneity and sample analysis, chi-square goodness of fit and sample analysis, Contingency Coefficient
13 Simple Linear Regression Model, Estimation of Simple Linear Regression Equation, OLS Estimation of the Coefficients, Variance Estimation, Estimation of Simple Linear Regression in December, Regression Coefficients Test of Significance, Correlation Coefficient, Coefficient of Determination, Correlation Coefficient Test of Significance
14 Indexes of Space, Time Indices, Fixed Based Indexes, Variable-Based Indexes, Simple Indexes, Composite Indexes, simple total index, indices Conductivity Simple Arithmetic Average, Simple Arithmetic Mean Weighted Indexes
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes