:

:
- Kind of Data :
discrete values
contimous values a continuum .......
- level of Measurement :
- Nominal Data .....
- Ordinal Measurement A Percentile Scale
- Interval Data 30 5 3
- Ratio Scale ( ) A Percentage Scale
- :
- One group data
- Two group data
- Many groups data Multi-group population
- Variables :
- univariate
- bivariate
- Multi variates

ڿ Discrete Values ɿ

- :
, ...


:
Descriptive :
Inferential :
:
1-
2-
3-
4-
:
:
- Parametric Statistics
- Nonparametric Statistics
a parameter
....
Normal Distribution

:
1- " "
2-
3- Sample variance

:
1- 2 The chi-Square Test :
2 2 (observed) 2 ( ) 1 = 1 2 2 2 2 Goodness of Fit
2- The Mann-Whitney U Test :
T-test
3- TheWilcoson runk sum test :
" " ""
4- The Spearman Rank Order Correlation :
(Supearman's rho) :



5- - : The kilmogorow Smirnow
2
6- The Kruskal Wallis test :
(H)
7- :
(W) 2
SPSS :

1- One- Way Frequency Distribution, Measures of Central Tendency and Dispersion :
Independent Variable Dependent Variables SPSS Descriptive Statistics :
-FREQUENCIES :
-DESCRIPTIVES :
a continuous value : 1001+ 501- 1000 401-500 301-400 201-300 -200 FREQUENCIES
Frequencies :
- Mein
- Median
- Mode
- Standard Deviation
- Analysis of Variance
- Skewness
- Kurtosis
- Range
- Standard Error
FREQUENCIES
2- Relationship between Two or More Categorical Variables :

CROSSTABS Cross robulation Chi-square
3- :
Correlate Linear Relationship Correlation Coefficient SPSS
Pearson's Normal Distribution Interval Scale NOPAR CORR Ordinal Scale Cross Tabulation Kendall rank-order correlation
SPSSPEARSON CORR- NONPAR CORR Multivariate SPSS SCATTEGRAM Scatter plot Diagram Standard error
4- Partial Correlation :
PARTIAL PEARSON CORR PARTIAL CORR
5- Multiple Correlation and Regression :
Multiple Correlation Independem Dependem REGRESSION Raw Data

6- ANOVA :
( Factors ) Interval Scale Categories
SPSS ANOVA
7- Factor Analysis :