data:text/html;base64,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
دکتر رضا حصارزاده
استاد
درباره من
انتشارات
دروس
پایان نامه ها
کتاب ها
دکتر رضا حصارزاده
استاد
دانشکده علوم اداری و اقتصادی
حسابداری
EN
EN
تماس با من
سرفصل مطالب
#
سرفصل مطالب
طرح درس (براساس سرفصل)
1
کلیات و طرح درس
2
آمار در زندگی و کار و آمار در پژوهش ها
3
مختصات روش علمی و جایگاه آمار
4
آماده سازی داده
5
آمار در نرم افزار EVIEWS
6
آمار توصیفی
7
آمار استنباطی و آزمون فرضیه: آمار پارامتریک
8
آمار استنباطی و آزمون فرضیه: آمار ناپارامتریک
9
آمار استنباطی و آزمون فرضیه: رگرسیون
10
ظرایف رگرسیون 1
11
ظرایف رگرسیون 2
12
آمار در پژوهش های فارسی
13
آمار در مجلات پیشرو حسابداری جهان
14
آمار برای پژوهش های پیمایشی
15
آمار در SPSS (بخش دوم)
16
فصل سوم و چهارم پایان نامه