Section outline
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Welcome to This Course...
Let's start a new journey of Statistics.
Biostatistics can be defined as the application of the mathematical tools used in statistics to the fields of biological sciences and medicine.
Hope your journey will be very joyful with me.
Requirements: Please follow these instructions throughout the course!!!
- All the materials and tasks for this course have been provided in the BLC.
- The class will be on Google Meet.
- 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.
Best Wishes and Have a great journey throughout the courses!!
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Contents:
Meaning and Definition of Statistics
Types of statistics;
Population and sample;
Parameter and statistic;
Variable and types of variable; Characteristics,
Levels of data) -
Contents:
- Constructing frequency distribution and relative frequency distribution: Qualitative and quantitative data;
- Cumulative frequency distribution;
- Graphic presentation of a frequency distribution with merits and demerits
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Contents:
- Arithmetic Mean, Geometric Mean, Harmonic Mean, Weighted Mean,
- Median and Mode with uses, advantages and limitations;
- Quartile, Percentile and Decile; Mathematical Problems and
- Box-Whisker plot
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Contents:- Meaning of dispersion;
- measures of dispersion;
- absolute measures of dispersion Relative measures of dispersion;
- Application of different measures of dispersion;
- Concept of Skewness, kurtosis and their measures
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Topics:
Introduction to Statistics
Data Presentation
Measures of Central Tendency and Measures of Location
Measures of Dispersion and Shape of the Distribution
Correlation Analysis
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Contents:
Sample Space,
Tree diagram,
Define probability,
Marginal probability,
Joint probability,
Conditional probability
Addition rule, Multiplication rule -
Contents:
1. Binomial Distribution
2. Normal Distribution
3. Poisson Distribution
But you have to read only 1sr 10 slides in this semester.
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Contents:
1. Statistical test
2. Types of error
3. Confidence Interval
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Opened: Saturday, 11 November 2023, 12:00 AMDue: Friday, 1 December 2023, 12:00 AM
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Opened: Saturday, 11 November 2023, 12:00 AMDue: Friday, 1 December 2023, 12:00 AM
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Opened: Saturday, 11 November 2023, 12:00 AMDue: Saturday, 30 December 2023, 11:59 PM
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Opened: Saturday, 11 November 2023, 12:00 AMDue: Friday, 1 December 2023, 12:00 AM
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Opened: Wednesday, 22 November 2023, 12:45 PMClosed: Wednesday, 22 November 2023, 1:05 PM
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Opened: Saturday, 25 November 2023, 8:00 PMClosed: Saturday, 25 November 2023, 8:20 PM