NATIONAL SPORT ACADEMY<br />"VASSIL LEVSKI"

Statistics

Management of the branch


Teachers- Full Prof. Reni Damjanova, D.Sc. ; Assoc. prof. Valentina Gigova, Ph.D. ; Assistant , Ph.D.
Teachers- Assoc. prof. Liljana Petkova, Ph.D.
Sector manager - Full Prof. D.Sc. Reni Damjanova

. Name of Subject /module/

Degree

Bachelor

Faculty

Coach

Year of Study

III

Semester

Winter

Type of Teaching

Normal

Type of Subject

Obligatory

. Resume

The purpose of this Module is to build the Fundamental Knowledge's and the Application of the Basic Research Methods and the Applied Statistics in the field of Physical Education, Sport and Kinesiology. During the study of Bachelors from our 3 Faculties are involved in practical sessions and work - shops with Microsoft Excel maintaining real data, measuring central tendency, variance, regressions, correlations and testing different types of hypotheses in order to control the training process and to predict the level of the sports results and the performance of their samples (classes, teams, groups).

. Subjects

N

Theme

Lectures

Exercises, Drills

1

Research Methods Applied Statistics in Physical Education and Sport - History, Basic Terms, Basic Types of Scales ( Quantitative and Qualitative ), Variables ( Continuous and Discrete ); Sampling

2

-

2

Frequency Table (n < 30; n > 30) ; Types of Empirical Distributions - Histogram, Frequency Polygon

-

2

3

Percentiles - P I ; Deciles D I ;Quintiles K I ; Quartiles Q i

Scales for Evaluation in Physical Education and Sport

-

2

4

Characteristic of the Central Tendency and the Variance; Types of Frequency Distributions

2

-

5

Central Tendency : Mean -( Arithmetic, Geometric , Harmo nic );Mode (Mo); Median (Me)

-

2

6

Variability - Main characteristics

Simple Variance, Range (R) , Standard Deviation (s), Coefficient of Variance (V%)

-

2

7

Descriptive Statistics with Microsoft Excel Laboratory Drill

2

8

Regressions; Types of Regressions Simple y = f (x) ; Multiple y = f (x 1 ,x 2 ,x n ); Linear (progression;regression ) Nonlinear ( exponential and ect .); Level of relation

(correlated, functional)

2

-

9

Scatter plot

-

2

10

Simple linear regression (Slope and Coefficient a); Standart Error ( S y/x)

Expected value -Y T

(theoretical , predicted value) Measured value Y F

(De facto - from the sampling)

-

2

11

Pearson 's Correlation (r), Spearman's (Rs), F and C. Coefficient of Determination (r 2 .100) and Coefficient of Indetermination (k 2 .100)

-

2

12

Regression and Correlation with Microsoft Excel Laboratory Drill

-

2

13

Distributions of Sampling Data and Theoretical Distributions

Normal Distribution - Main Characteristics ( Skew , Kurtosis ); T Distribution ; Other Distributions (Bilateral , F- Distribution , Chi square Distribution , Uniform )

2

-

14

Confidence Level for means

-

2

15

Hypothesis testing; Choosing the proper statistics according - types of the Distributions and types of Samples (paired and unpaired two samples); Most common hypothesis tests

2

-

16

Hypothesis testing .

H 0 : μ 1 μ 2 = 0

Compare means for two samples - T-test paired and unpaired two sample for means

-

2

17

Hypothesis testing . H o : π 1 π 2 = 0

Compare P 1 and P 2 (ratio)

-

2

 

Total

10

24

V. Type of Examination

Tests and Oral


During the Semester all Bachelor Students might take voluntarily the Examination by covering the set requirements of 3 tests. During the Session period - the Examination is oral.


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