Topic outline

  • General

  • Contact form


    Institute : Science and Technology

    Department: Process Engineering (PE)

    Target public: Second-year Process Engineering

    Fields of Specialization: Mathematics 

    Course title: Probabilities and Statistics

    Credit: 2

    Coefficient: 2

    Duration: 15 weeks

    Weekly timetable: 1h 30 min of course and 1h 30 min hours for tutorial group

    Place of teaching: Lecture hall 3 classroom 10

    Teacher: Farouk KECITA 

    Contact: kecita.f@centre-univ-mila.dz

    Evaluation methods: A final exam, short test.

    Recommended Prerequisite Knowledge:

    Math1 and Math2



    • Target skills


      1_ Summarizing Data: Descriptive statistics help in providing clear quantitative summaries of data through measures such as mean, median, and mode, making it easier to understand the characteristics of the data.

      2_ Describing and Interpreting Data (Pattern Analysis): Descriptive statistics allow for the analysis of patterns and trends in the data, aiding in the discovery of important relationships and characteristics.

      3_Data Visualization: Descriptive statistics use graphs and tables to represent data visually, making it easier to interpret the results.

      4_ Understanding Data Characteristics (Evaluating Dispersion): Through measures such as standard deviation and variance, the extent of data dispersion around the mean can be assessed.

      5_ dentifying Outliers: Helps in identifying values that differ significantly from the rest of the data.

      6_ Comparing Data (Analyzing Differences): Descriptive statistics can be used to compare different data sets and identify differences and similarities between them.

      7_ Providing the Basis for Inferential Analysis (Preparing Data): Descriptive statistics help in preparing data for inferential analysis, such as hypothesis testing and regression analysis.




      • Prerequisites



        Studying descriptive statistics requires some prerequisite acquisitions to ensure a better understanding and effective application of statistical concepts and skills. Here are some essential prerequisite acquisitions needed by students before starting the study of descriptive statistics:

        1. Understanding Basic Mathematics: Basic algebra, roots, and fundamentals.

        2. Knowledge of Arithmetic Operations: Familiarity with averages and basic statistical calculations and dealing with data sets.

        3. Basic Knowledge of Graphs: Reading graphs and tables and creating simple graphs.

        4. Ability to Think Critically: Analyzing data and asking questions.

        5. Basic Principles of Statistics.

        • Appointment with your teacher


        • Mind Map (الخريطة الذهنية)

        • Forum


        • Lecture N° 01

        • Lecture N° 02

        • Lecture N° 03

        • Lecture N° 04

        • Lecture N° 05

        • Lecture N° 06_07

        • Lecture N° 08

        • Lecture N° 09

        • Lecture N° 11_12

        • bibliography

          جلطو جيللي، الحصاء مع تمارين ومسائل محلولة، ديوان المطبوعات الجامعية، الطبعة الثامنة، الجزئر، .2313
          _ حليمي عبد القادر، مدخل إلى الحصاء، ديوان المطبوعات الجامعية، الطبعة الخامسة، الجزائر، .2332
          _ حيدوشي عاشور، محاضرات في الحصاء الوصفي، مطبوعة موجهة لطلبة السنة الولى جذع مشترك، جامعة أكلي محند أولحاج
          البويرة، الجزائر.
          _ "The Basic Practice of Statistics" by David S. Moore, William I. Notz, and Michael A.
          Fligner.
          _ "Introduction to the Practice of Statistics" by David S. Moore, George P. McCabe, and
          Bruce A. Craig.

          • الإختبار الأول التصحيح النموذجي