وورکشوپەک ل دور شیکارکرنا داتایان ب رێکا پروگرامێSPSS ل کولیژا زانست هاتە ئەنجام دان
ژ پێخەمەت پتر پێشڤەبرنا شیانێن ماموستایان د بیاڤێ شیکارکرن و شلوڤەکرنا داتایێن زانستی دا و ل ژێر چاڤدێریا بەرێز پ. هـ. د. محمد عزیز راگرێ کولیژا زانست، سەنتەرێ ڤەکولینێن زانستی ل کولیژێ رابو ب ئەنجامدانا وورکشوپەکا سێ رۆژی ل ژێر ناڤێ
Statistical Analysis of Data Using SPSS
ل رێکەفتی 22 تا 24/5/2023 ل دور چاوانیا بکارئینانا پروگرامێ SPSS بو شیکارکرنا داتایان بو 18 بەشداران ژ ماموستا و قوتابیێن خواندنا بلند ل زانکویا دهوك ل هولا سمیناران.
وورکشوپ هاتە پێشکێشکرن ژلایێ هەردوو ماموستایان:
چەندین بابەتێن تیوری و پراکتیکی د ڤی بیاڤی دا هاتنە گوتن و گەنگەشەکا ب تێر و تەسەل هاتە کرن لدور شلوڤەکرنا داتایان و پروگرامێ ناڤبری
Title: Statistical analysis by SPSS
Presenters:
〇 Asst. Prof. Dr. Amir Hani Raziq
Organizers:
〇 Asst. Prof. Dr. Amir Hani Raziq
〇 Asst. Prof. Dr. Rana Adel Hanoon
〇 Dr. Iman Hussein Fadhiladeen
Date: 22-24 May 2023
Time: 9:15 AM
Location: Scientific Research Center, College of Science, University of Duhok
Justification:
In today's data-driven world, statistical analysis has become an essential tool for businesses, researchers, and decision-makers. The ability to extract meaningful insights from large and complex data sets is crucial to making informed decisions that can improve outcomes and drive success. SPSS (Statistical Package for the Social Sciences) is a widely used software program that provides a powerful set of tools and techniques for conducting statistical analysis. It allows researchers to analyze data, identify patterns and relationships, and draw conclusions based on evidence. SPSS can be used for a wide range of applications, from analyzing customer data to understanding market trends, making it an indispensable tool for anyone working with data. In short, SPSS has become an essential tool for researchers and decision-makers to make data-driven decisions in today's fast-paced and highly competitive world
Objectives:
⬤ Learning how to introduce Data into SPSS
⬤ General description of Data (Visualization)
⬤ Performing basic statistical analysis for numeric, ordinal, and nominal Data
⬤ Reporting the output of the statistical analysis