Unit: Exploring One – Variable Data Chapter: Tables or Graph Representation & Interpreting statistics Reference: – Data type, Frequency Distribution, Measures of center, Measures of spread, Box plots, Scatter plots, Correlation, Regression Analysis, Bar graph & Pie chart, two-way tables & Contingency tables, Probability & Normal Distribution, Confidence Intervals, Hypothesis Testing, Inference for Means & […]
Unit: Exploring One – Variable Data Chapter: Categorical variation & Quantitative Variables Reference: – Categorical Data, Frequency Tables, Bar Charts, Pie charts, Two-way tables, Conditional Distributions, Simpson’s Paradox, Quantitative data, Stem & Leaf plot’s, Histograms, Measure of central tendency, Measures of Variability, Box plots, Scatter plots After studying this chapter, you should be able to […]
Unit: Exploring One – Variable Data Chapter: Graphical Representation – Histogram Reference: – Data type, Frequency Distribution, Measures of center, Measures of spread, Box plots, Scatter plots, Correlation, Regression Analysis, Bar graph & Pie chart, two-way tables & Contingency tables, Probability & Normal Distribution, Confidence Intervals, Hypothesis Testing, Inference for Means & Proportion. After studying […]
Unit: Exploring One – Variable Data Chapter: Graphical Representation – Bar Chart Reference: – Data type, Frequency Distribution, Measures of center, Measures of spread, Box plots, Scatter plots, Correlation, Regression Analysis, Bar graph & Pie chart, two-way tables & Contingency tables, Probability & Normal Distribution, Confidence Intervals, Hypothesis Testing, Inference for Means & Proportion. After […]
Unit: Probability & Rules Chapter: Random Event Probability Calculating Reference: – Central limit theorem, Sampling distributions, Conditions for applications, Normal distribution, Sample mean distribution, Sample proportion distribution, Calculations, Applications, Margin of error, Confidence intervals, Hypothesis testing, Examples. After studying this chapter, you should be able to: Introduction to Central Limit theorem & Sampling distributions. […]
Unit: Probability & Rules Chapter: Simulation To Estimate Probabilities Reference: – Sampling methods, Bias & Randomness, Variability & Spread, Sampling distribution, Central limit theorem, Standard errors, Confidence intervals, Margin of error, hypothesis testing, Variability & Sample size. After studying this chapter, you should be able to: Sampling Methods, Bias & Randomness. Variability, Spread & Sampling […]
Unit: Probability, Random Variables & Probability Distributions Chapter: Binomial & Geometric Distributions Reference: – Random Variables & Its types, Discrete Probability distribution, Continuous probability distributions, Expected Value & Variance, Law of Large Number & Central limit Theorem, Sampling Distributions, Transformations, Joint Distributions, Independent Random Variables, Bivariate data, Probability Models. Probability Mass function, Mean & […]
Unit: Random Variables & Probability Distributions Chapter: Random Event Probability Calculating Reference: – Sample spaces & Events, Probability definitions & Rules, Complementary & Mutually exclusive events, Conditional probability, Independence & Dependence, Probability distributions, Law of large number & Simulations, counting principles, Expected value & Variance, Central Limit theorem. After studying this chapter, you […]
Class 10 math, CBSE board in India, emphasizes advanced skills to establish a solid foundation for the senior grades of high school. It includes basic calculus and multivariable calculus for gifted students. Students learn about rational and irrational numbers, polynomials, functions, algebraic methods of solving a pair of linear equations, quadratic equations, arithmetic and geometric progressions, trigonometric functions, and section formulae to calculate area.
The class nine math in the CBSE curriculum emphasizes geometry, algebra II, and mensuration. The focus on statistics and probability theory also starts to appear for students to understand those crucial topics. So the curriculum in totality offers a good knowledge of five dimensions of mathematics and helps prepare students for the upcoming grades and eventually for the competitive exams for their pursuit of a college education.