Statistics

To introduce participants to the basics of data management, Descriptive and Inferential Statistical Analysis with SPSS.

- Continuous versus Categorical Data (Nominal, Ordinal, Scale, Ratio);
- Nature of data as the guidance in selecting statistical models;
- Data processing;
- Data Template;
- Data entry;
- Variable transformation;
- Data Visualization and Data Exploration;
- Checking missing observations;
- Identifying human errors in data;
- Checking Assumptions of Statistical models;
- Descriptive Analysis and Inferential Statistics;
- Frequency Tables (one way and two way);
- Basic Graphics (Histogram, Pie-chart and clustered bar graphs etc.);
- Analysis of Variance (ANOVA);
- Ordinary Regression Analysis (Simple and Multiple);
- Logistic Regression Analysis (Binary, Ordered and Multinominal); and
- Survival Analysis.

*By the end of the course participants will be able to:*

- Select statistical models for the appropriate data;
- Understand the basics of statistical Analysis using SPSS;
- Manage data and manipulate (handling missing observations and correcting human errors resulting from data entry); and
- Apply basic descriptive and inferential statistical analysis in wide range of areas.

Academia, Researchers, NGOs, Students, etc.

Offered By : ```
Statistics -
College of Social Sciences
```

**Cost:** 400,000

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