الفصل الاول علم الاحصاء المفاهيم والوظائف وعلاقته بالعلوم الاخرى

This document discusses non-parametric methods, which are also known as distribution-free methods. It outlines four common non-parametric tests: 1) Wilcoxon signed-rank test, which is used to compare two related samples; 2) Sign test, which tests whether the probability of a positive outcome is equal to the probability of a negative outcome; 3) Mann-Whitney U test, which compares two independent groups; and 4) Kruskal-Wallis H test, which compares more than two independent groups. Non-parametric methods make fewer assumptions about the distribution of the population than parametric methods.

مبادئ الإحصاء مقاييس التشتتخالد ال شعلان

ملخص الاحصاء التطبيقي - الوحدة الثانية

جامعة القدس المفتوحة

م. الإحصاء - مناقشة أسئلة سنوات سابقة

جامعة القدس المفتوحة

الجغرافيا الكمية والاحصائية

Dr. Talal Al-Harigi

كتاب المميز فى الإحصاء للثالث الثانوى2015

أمنية وجدى

ملخص م. الاحصاء

جامعة القدس المفتوحة

تحليل البيانات باستخدام برنامج spss . ا

Hisham Hussein

الاختبارات الاحصائية

أ. مراد هرشه

This document discusses statistical hypothesis testing and statistical inferences. It notes that statistical hypothesis testing is one of the most important applications of probability theory in statistics. This allows researchers to make decisions about accepting or rejecting hypotheses based on sample data. The process of decision making through hypothesis testing involves multiple steps, including drawing a representative sample, collecting relevant data, applying statistical rules to test hypotheses, and making a decision based on results. Statistical inferences aim to estimate unknown population parameters through sampling and probability theory plays a key role in this process and in decision making more broadly.

اساسيات الاحصاء

Ibrahim Alhariri

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كتاب المميز فى الإحصاء للثالث الثانوى2015

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اساسيات الاحصاء

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