Shahina - Maths teacher - Mehda
Shahina - Maths teacher - Mehda

Shahina

  • Rate L70
  • Response 1h
Shahina - Maths teacher - Mehda

L70/hr

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  • Maths
  • Statistics

9th,10th up board mathematics question answer and 11th , 12 th statics question answer

  • Maths
  • Statistics

Lesson location

About Shahina

I am Shahina khatoon I am a B. Com student,I want to give my knowledge to other students also, so that along with my knowledge,I can give the knowledge of other student ,so that i will be proud and happy

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About the lesson

  • Primary
  • Lower Secondary
  • Senior Secondary
  • +9

    • levels :

    Primary

    Lower Secondary

    Senior Secondary

    Post Secondary Education

    Higher Education

    Adult Education

    Bachelor's Degree

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    MBA

    Early Childhood Care & Development

  • English

All languages in which the lesson is available :

English

It sounds like you're asking for an overview of a class focused on math and statistics. While the exact content can vary depending on the level (high school, college, etc.), such a class generally covers topics that blend mathematical theories with statistical principles to equip students with the skills necessary to analyze data and solve problems. Here’s a brief rundown of what might typically be covered:

1. Foundations of Mathematics
Basic Algebra: Equations, functions, and graphing.
Calculus: Concepts of derivatives and integrals, often focused more on understanding changes and areas under curves, which are crucial for many statistical methods.
2. Foundations of Statistics
Descriptive Statistics: Techniques to summarize data (mean, median, mode, ranges, variance, standard deviation).
Probability: Basics of probability theory, including probability distributions, expected values, and variance.
3. Inferential Statistics
Hypothesis Testing: Understanding how to test assumptions and make inferences about populations from sample data.
Confidence Intervals: Calculating the range within which a population parameter is expected to lie with a certain degree of confidence.
Regression Analysis: Techniques for modeling and analyzing several variables, focusing on the relationship between a dependent variable and one or more independent variables.
4. Advanced Topics
Multivariate Statistics: Deals with observations and analysis involving multiple variables.
Time Series Analysis: Techniques used to analyze time-ordered data points.
Non-parametric Methods: Statistical methods that do not assume a particular population distribution.
5. Applications
Data Analysis: Using software tools like R, Python, or SPSS to manipulate, analyze, and visualize data.
Real-World Problem Solving: Applying mathematical and statistical techniques to real-world problems, possibly through case studies or projects.
6. Interpretation and Communication
Statistical Reasoning: Understanding how to interpret statistical results.
Effective Communication: Learning to present statistical findings effectively, in writing and verbally, to an audience that may not be familiar with the technical aspects of statistics.
This blend of theoretical knowledge and practical application is designed to build proficiency in both disciplines, preparing students for careers in fields like data science, economics, engineering, actuarial science, research, and beyond. If you're considering enrolling in or are currently taking such a class, it might be helpful to focus on both the detailed mathematics and the broader applications in data analysis.

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Rates

Rate

  • L70

Pack prices

  • 5h: L350
  • 10h: L700

online

  • L70/h

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levels

Primary

Lower Secondary

Senior Secondary

Post Secondary Education

Higher Education

Adult Education

Bachelor's Degree

Master's Degree

Doctorate

Other

MBA

Early Childhood Care & Development

All languages in which the lesson is available

English

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