Importance and Challenges of Statistics in Decision Making and its Effect in Climatology

Alexander Chinago Budnukaeku , Dr. Ajoku Bright C.

Abstract: This paper deals on illustration and explanation of some statistical decision theories as applied in the field of climatology. Among the few reviewed in this work includes, Chi-square, Kruskal-Wallis test of several treatment, Regression analysis and the Seasonality index. The study also shows that there are diverse source of data collection in Geography and its related courses like Climatology. The work discovered among other things that statistical theories were useful in prediction and decision making in climatology and other geography related course. Despite different methods used it was observed that rainfall pattern in Port Harcourt has not change over time. The regression analysis using Microsoft Excel for charts shows that rainfall distribution has reduced over years without change in the pattern and characteristics. However, sources of data may affect decision and result same is true of interpretations.

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