Data Analysis Office

Data Analysis Office

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英文面試王
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Analyzing all types of data statistically

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ggplot (by lm) using R programming

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The Data Analysis Office announces the readiness of its staff to conduct all statistical analyzes of research, master’s theses, and doctoral dissertations in all fields of applied, agricultural, and medical sciences, as well as the social and human sciences, using the two most powerful analysis programs (SAS & SPSS), with the possibility of tabulating the results and writing a statistical interpretation of them; in a competitive prices. The office also announces the conduct of brief courses for those who need (a specific field of analysis for one type or specific types of analysis - as needed) using either the program (SAS or SPSS)... via the program (Zoom), with direct practical application for the following procedures.
- t-test;
- Chi-square test;
- Regression analyses (all kinds);
- Correlation analysis;
- ANOVA;
- MANOVA;
- ANCOVA;
- MANCOVA;
- FACTORIAL designs analysis;
- QUESTIONNAIRE ANALYSIS;
- Repeated Measures Analysis;
- Factor Analysis;
- Generalized L.M. analysis;
- Nested Design and Variance components analysis;
- Time series analysis.

Admin;
WhatsApp:
+9647807307620

24/10/2023
Photos from Data Analysis Office's post 21/10/2023
17/10/2023

يعلن مكتب التحليل الاحصائي عن استعداد كادره لاجراء كافة التحاليل الإحصائية للأبحاث ورسائل الماجستير وأطاريح الدكتوراه في كافة مجالات العلوم التطبيقية والزراعية والطبية والعلوم الاجتماعية والانسانية، باستخدام اقوى برنامجين للتحليل SAS & SPSS ، مع امكانية جدولة النتائج وكتابة التفسير الاحصائي لها وباسعار منافسة. كما يعلن المكتب عن إجراء دورات مقتضبة (مجال تحليل محدد ل نوع او انواع محددة من التحاليل- حسب الحاجة) باستخدام إما برنامج SAS او SPSS ..عبر برنامح zoom لمن يحتاج ، مع التطبيق العملي.
اختبار t
اختبار Chi-square
تحليل الانحدار بكل انواعه
تحليل الارتباط
ANOVA
MANOVA
ANCOVA
MANCOVA
FACTORIAL
QUESTIONNAIRE
Repeated Measures
Factor Analysis
Generalized L. M.
Nested Analysis

Admin
WhatsApp:
+9647807307620

Photos from Data Analysis Office's post 17/10/2023

Applying Chi-square using SPSS.

Photos from Data Analysis Office's post 11/10/2023

Applying Chi-square using SAS.

Photos from Data Analysis Office's post 03/10/2023

One sample t test using SPSS.

Photos from Data Analysis Office's post 28/09/2023

One sample t test using SAS

19/09/2023

The correct analysis results are obtained from the exact design of an experiment.

07/09/2023

Most haematological parameters that measured periodically (by time), are needed Repeated Measures procedure for statistical analysis.

20/08/2023

In case of existence the homogeneity in the environment of samples (i.e. in vitro trials); the analysis procedure doesn't need block factor.

04/08/2023

Before quantitative trait analysis procedure, it should be used Shapiro, homogeneity, linearity or Skewness test; to insure the normality.

10/07/2023

Statistical designs and tests

Photos from Data Analysis Office's post 17/06/2023

Analyze nested design data with two effects using SPSS.

Photos from Data Analysis Office's post 12/06/2023

Analyze nested design data with two effects using SAS

Photos from Data Analysis Office's post 05/06/2023

Random effect using RMEL within SPSS for arrangement individuals.

Photos from Data Analysis Office's post 12/05/2023

Repeated measures analysis using both SAS and SPSS

Photos from Data Analysis Office's post 11/04/2023

ANCOVA

Photos from Data Analysis Office's post 31/03/2023

Multiple linear regression using both SAS and SPSS

Photos from Data Analysis Office's post 24/03/2023

Output of one-way ANOVA and Duncan's test using SAS

14/03/2023

Paired t-test

Photos from Data Analysis Office's post 12/03/2023

Test for linearity

Photos from Data Analysis Office's post 11/03/2023

Test of Normality

Photos from Data Analysis Office's post 08/03/2023

Output of "change over design" analysis for three fixed factors using Mixed model within SAS.

Photos from Data Analysis Office's post 07/03/2023

Descriptive statistics using both SAS and SPSS

05/03/2023

Test of Homogeneity using SPSS

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