يتناول هذا البحث بالدراسة و التحليل من النواحي النظرية و التطبيقية مسألة المعاينة الإحصائية
و استخداماتها في عمليات ضبط الجودة على المنتجات الصناعية و ذلك عن طريق فحص كميات معينة
من الإنتاج بالاعتماد على معايير محددة مسبقًا لتحديد هل الكميات (الدفع
ات) ترتقي إلى مستوى
الجودة المقبولة أم لا؟، إذ أطلق على هذا النوع تسمية معاينة القبول.
These papers aim to study the estimation of the simple linear regression equation
coefficients using the least square method at different sample sizes and different sampling
methods. And so on, the main goal of this research is to try to determine
the optimum size
and the best sampling method for these coefficients. We used experimental data for a
population consist of 2000 students from different schools all over the country. We had
changed the sample size each time and calculate the coefficients and then compare these
coefficients for different sample sizes with their coefficients of the real population; and the
results have been shown that the estimation of the linear regression equation coefficients
are close from the real values of the coefficients of the regression line equation for the
population when the sample size closes the value (325). As it turns out that the Stratified
random sampling with proportional distribution with class sizes gives the best and most
accurate results to estimate linear regression equation with least square method.
