Section outline

  • 👉 Introduction

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    Course Teacher

    Fouzia Akter

    Assistant Professor 

    Department of Nutrition and Food Engineering

    Mobile Number:+880 1820-000810

    Email:fouzia@daffodilvarsity.edu.bd



    Requirements: Please follow these instructions throughout the course!!!

    • All the materials and tasks for this course have been provided in the BLC.
    • Please go through all these lessons one by one.
    • Please feel free to ask any questions on the discussion Forum after every lesson.
    • Try to read out all answers/comments/posts including yours.
    • Compare your thoughts with others and remark on your mistake.
    • All enrolled students should complete their activity in BLC for the accomplishment of this course.
    • Your activity in BLC will be highly appreciated. 
    • Develop your skill which will be helpful for your carrier development.

    • forum icon
      📣 Announcements Forum
    • lesson icon
      🎪 Course Description & Objectives Lesson
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      A.     Course Description

      Basic concepts of descriptive statistics, probability, statistical inference, regression, correlation analysis 

      B.     Course Objectives

      The objectives of this course are:

      • Understand basic concepts of descriptive statistics, mean, proportion median, standard deviation.
      • Draw simple graphs – bar charts, histogram, pie chart, line graph, box-plot.
      • Produce frequency tables.
      • Understand basic probability concepts.
      • Understand and use Binomial, Normal, and Students t distributions.
      • Be able to compute point and interval estimates of the population mean and proportion.
      • Understand and test hypotheses about the population mean and proportion.
      • Compute and test for the linear relationships between two variables.

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      🎇 Assessment Plan Lesson
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      Assessment Strategy

      • Quiz  15
      • Presentation  8
      • Assignment  5
      • Mid Term  25
      • Final Term  40
      • Class Attendance  7

    • lesson icon
      🎆 Course Information Lesson
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      Course Code: 0542-2109  Semester:Spring 2024        Course Title: Biostatistics

      Course Level: L2 T1                                                     Credit: 3 (Three)


    • resource icon
      🎁 Course Contents File
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    • lesson icon
      ✨ Reference Books Lesson
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    • lesson icon
      💡 Assessment & teaching Strategy Lesson
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      Assessment Strategy

      • Quiz
      • Presentation
      • Assignment
      • Homework
      • Mid Term
      • Final Term

      Teaching Strategy

      • Presentation
      • Discussion
      • Question answer session
      • BLC 

    • glossary icon
      ❓ Frequently Asked Question Glossary
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  • Introduction to Statistics

    Statistics is the science of data. It's about collecting, analyzing, interpreting, and presenting data
    to make informed decisions. Think of it as a toolbox with many different tools (mathematical
    formulas and methods) that can be used to understand and make sense of the world around us.


  • Data Presentation

    When we talk about the presentation of data, we are referring to the process of showcasing information in a way that is visually appealing and can be easily comprehended. This involves using various tools and techniques to display data in a clear and concise manner, such as graphs, charts, tables, and infographics. The goal of presenting data is to make it easier for the audience to interpret and analyze the information being presented, which can be especially important when dealing with complex or large sets of data. A well-designed presentation of data can help to highlight key insights and trends, making it easier for decision-makers to draw conclusions and take action based on the information provided.



  • Measures of Central Tendency and Measures of Location

    Summary: 

    In statistics, a central tendency is a central or typical value for a probability distribution. Colloquially, measures of central tendency are often called averages. The term central tendency dates from the late 1920s. The most common measures of central tendency are the arithmetic mean, the median, and the mode.

    cdn.corporatefinanceinstitute.com/assets/centra...

  • Measures of Dispersion


    Measures of dispersion describe the spread of the data. They include the range, interquartile range, standard deviation, and variance. The range is given as the smallest and largest observations. This is the simplest measure of variability.


  • Student Forum for Midterm Exam


    Dear Students,
    Please post any questions you have about the midterm syllabus, and I will answer them here for you.

  • Forum for Variables

    Discussion Forum for Variables

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      Forum for Variables
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      Let's see who can correctly find the variable.


  • Probability


    Probability is simply how likely something is to happen. Whenever we're unsure about the outcome of an event, we can talk about the probabilities of certain outcomes—how likely they are. The analysis of events governed by probability is called statistics.

    Probability - Wikipedia

    • resource icon
      Probablity File
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    • url icon
      Video Tutorial on Probability URL
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    • assign icon
      Solve these problems on Probability Assignment
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      Problem 1: There are 12 patients in a hospital ward. All of them are male. 8 patients have renal disease and 3 patients have liver disease. Among the 12 patients, 1 patient has both diseases. Find Probability of renal disease given that the patient also has liver disease.


      Problem 2: In a bag, there are 4 white balls, 7 green balls, and 12 yellow balls. If 4 balls are picked, what is the probability of picking yellow ball first, white ball second, green ball third, and again yellow ball for the fourth time?

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      Online Class URL
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  • Hypothesis testing

    Hypothesis testing is a form of statistical inference that uses data from a sample to draw conclusions about a population parameter or a population probability distribution.

  • Presentation and Assignment

    Presentation

    Mandatory Guidelines for Data Collection:

    1. One student must collect data from ten other students (these ten students are known as respondents). 

    2. Five respondents should be female, and the other five should be male.

    3. Five respondents should be from public universities, and the other five should be from private. (All respondents should be bachelor's students). 

    4. ONE RESPONDENT SHOULD FILL UP ONLY ONE FORM.

    5. THE RESPONDENT MUST WRITE YOUR REFERENCE ID (last three digits of your ID) IN THE GOOGLE FORM.

    6. You cannot collect data from NFE students. 

    7. Data should be collected only from students who are studying in Dhaka. 

    The data collection and Experience submission deadline is 15 December 2025, 23:59 pm.

    The link to the Google Form:

    https://docs.google.com/forms/d/e/1FAIpQLSfGJGentsVdCNZd5wPDnEXIuSqwygDQoGH3dwJjUISROI5wCw/viewform?usp=sf_link 


    • assign icon
      Assignment/Experience Folder
      Opened: Tuesday, 3 December 2024, 12:00 AM
      Due: Sunday, 15 December 2024, 11:59 PM
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  • Sample Size Calculation



    Sample Size Calculation

  • Correlation

    Correlation is a key statistical measure that describes the degree of association between two variables. There are three basic types of correlation: positive correlation: the two variables change in the same direction. negative correlation: the two variables change in opposite directions.

    Pearson Correlation Coefficient (r) | Guide & Examples

  • Regression

    Summary:
    The most commonly used techniques for investigating the relationship between two quantitative variables is linear regression.  regression expresses the relationship in the form of an equation.

    Difference Between Correlation and Regression (with Comparison Chart) - Key Differences