Riley - Maths tutor - Dayton
Riley - Maths tutor - Dayton

Riley's profile, qualifications and contact details have been verified by our experts

Riley

  • Rate RM67
  • Response 1h
Riley - Maths tutor - Dayton

RM67/h

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This tutor is currently unavailable

  • Maths
  • Statistics

Current Miami University (OH) college student that teaches the basics of math statistics

  • Maths
  • Statistics

Lesson location

About Riley

Hello! My name is Riley and I am a student studying business management at Miami University-Hamilton. I have years of experience with professional writing as well as high-school level literature and writing. I enjoy math, statistics is my favorite category and love to learn new ways to solve problems and teach others on both subjects!

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About the lesson

  • Primary
  • Secondary
  • SPM
  • +2
  • levels :

    Primary

    Secondary

    SPM

    Form 6

    STPM

  • English

All languages in which the lesson is available :

English

I'm committed to supporting students as they pursue their academic objectives. I am devoted to assisting students in realizing their  potential and am patient and encouraging.

Teaching Methods and Techniques

STATISTICS:
1. Introduction to Statistics:
-Discuss the importance of statistics in various fields and real-world applications
-Define key terms such as population, sample, variable, data, and distribution
2. Descriptive Statistics:
-Teach various measures of central tendency (mean, median, mode) and measures of dispersion (range, variance, standard deviation)
-Demonstrate how to organize and summarize data using frequency distribution tables, histograms, and scatter plots
3. Probability:
-Cover basic concepts of probability theory, including probability distributions and the rules of probability
-Introduce important probability distributions such as the normal distribution and binomial distribution
4. Inferential Statistics:
-Discuss hypothesis testing, confidence intervals, and the process of making inferences about populations based on sample data
-Provide examples of practical applications of inferential statistics in research studies and data analysis
5. Data Analysis:
-Provide hands-on practice with real-life data sets to apply statistical techniques learned in class
6. Evaluating and Communicating Results:
-Guide students on how to interpret statistical results and draw meaningful conclusions
-Emphasize the importance of effectively communicating statistical findings through reports, charts, and visualizations
7. Practice and Review:
-Assign homework exercises and practice problems to reinforce learning and assess students' understanding
-Conduct regular quizzes and review sessions to reinforce key concepts and address any challenges or misconceptions
8. Continuous Learning:
-Encourage students to continue exploring advanced topics in statistics and further develop their skills through additional resources and online courses
-Provide ongoing support and guidance to help students achieve their learning goals and excel in the subject.

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Rates

Rate

  • RM67

Pack rates

  • 5h: RM336
  • 10h: RM672

online

  • RM71/h

Travel

  • + RM12

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