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- Statistics
I'm Nidhi Patel, your friendly neighborhood Biostatistician,, and I'm on a mission to make statistics as exciting as a rollercoaster ride!
- Statistics
Lesson location
About Nidhi
Hello, world! I'm Nidhi Patel, your friendly neighborhood Biostatistician, and I'm on a mission to make statistics as exciting as a rollercoaster ride! With a sprinkle of numbers, a dash of data, and a whole lot of enthusiasm, I'm here to guide you through the magical land of statistical analysis.
In my statistical cauldron, I brew a potent potion of knowledge, mixing my expertise in statistical software like R-Studio, SAS, and SPSS with my strong analytical skills. I've danced with data in the enchanting fields of biology and biotech research, designing statistical study plans for drug candidates and making sense of complex databases.
But that's not all! I've also dabbled in the art of creating genome browsers and chat-bot survey platforms, adding a pinch of creativity to the science of statistics. As a Graduate Teaching Assistant for Bioinformatics, I've shared my love for numbers with budding statisticians, and as a proud iGEM Synthetic Biology Bronze medalist, I've shown that statistics can lead to groundbreaking discoveries.
So, buckle up and get ready for a statistical adventure with me, Nidhi Patel, where we'll unravel the mysteries of data, one number at a time!
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About the lesson
- Primary
- Secondary
- WASSCE
- +5
levels :
Primary
Secondary
WASSCE
National Common Entrance Examination (NCEE)
GCE
Adult education
Masters
BECE (Basic Education Certification Exam)
- English
All languages in which the lesson is available :
English
Here's a basic outline for a statistics lesson plan, suitable for students who are new to the subject:
Lesson 1: Introduction to Statistics
Objective: Understand the basics of statistics and its importance in various fields.
Topics:
1. Definition of Statistics
2. Types of Statistics: Descriptive and Inferential
3. Importance of Statistics in Everyday Life
4. Basic Terminology: Population, Sample, Variable, Data
Lesson 2: Types of Data
Objective: Learn about different types of data and how to categorize them.
Topics:
1. Qualitative vs. Quantitative Data
2. Levels of Measurement: Nominal, Ordinal, Interval, Ratio
3. Discrete vs. Continuous Data
Lesson 3: Data Collection and Sampling
-Objective:Understand how data is collected and the importance of sampling.
Topics:
1. Methods of Data Collection: Surveys, Experiments, Observational Studies
2. Sampling Techniques: Random, Stratified, Cluster
3. Importance of Sample Size and Representativeness
Lesson 4: Descriptive Statistics
Objective: Learn how to summarize and describe data sets.
Topics:
1. Measures of Central Tendency: Mean, Median, Mode
2. Measures of Dispersion: Range, Variance, Standard Deviation
3. Graphical Representations: Histograms, Bar Graphs, Pie Charts
Lesson 5: Probability Basics
Objective: Understand the basic concepts of probability and its role in statistics.
Topics:
1. Definition of Probability
2. Probability Rules: Addition and Multiplication
3. Probability Distributions: Binomial, Normal
Lesson 6: Inferential Statistics
Objective: Learn how to make predictions and inferences about a population based on sample data.
Topics:
1. Hypothesis Testing
2. Confidence Intervals
3. p-values and Significance Levels
Lesson 7: Correlation and Regression
Objective: Understand the relationship between variables and how to predict outcomes.
Topics:
1. Scatter Plots and Correlation Coefficients
2. Simple Linear Regression: Equation, Slope, Intercept
3. Interpreting Regression Results
Lesson 8: Wrap-Up and Review
Objective: Review key concepts and prepare for further study in statistics.
1. Recap of Major Concepts
2. Practical Applications of Statistics
3. Resources for Further Learning
Each lesson can be accompanied by practical exercises, quizzes, and real-world examples to reinforce learning.
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- ₦27269
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- 5h: ₦136347
- 10h: ₦272694
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All the teaching material are available after the each lesson:)
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