IBDP Mathematics Analysis & Approaches SL Chapter 6 Notes
Statistics for univariable data
STUDY NOTES FOR MATHEMATICS – CHAPTER 6 – Statistics for univariable data
These notes have specially been curated by expert teachers to simplify and enlighten concepts given in IB Mathematics SL. The notes are comprehensive in nature and are sufficient to study the chapter in depth and one need not look for other resources beyond the notes provided on our website which can be accessed for free. The notes for Mathematics IBDP SL are available on our official website and can be downloaded for free. You are one click away from obtaining all that you need to score well in IB Mathematics SL.
All DP mathematics courses serve to accommodate the diverse range of needs, interests and abilities of students, and to fulfill the requirements of various university and career aspirations. The aims of these courses are to enable students to: develop mathematical knowledge, concepts, principles, logical, critical and creative thinking, employ and refine their powers of abstraction and generalization. Students are also encouraged to appreciate the international dimensions of mathematics and the multiplicity of its cultural and historical perspectives.
Univariate is a term commonly used in statistics to describe a type of data which consists of observations on only a single characteristic or attribute. Univariate analysis is the simplest form of analyzing data. Basic topics such as calculating median, mean, mode and cumulative frequency are taught. In this chapter, we also consider the variables with symmetrical, bell-shaped distribution curves. We call this a normal distribution. This happens to be the most important distribution in statistics. The normal distribution arises in nature when many different factors affect the value of the variable.
- Chapter 1 Sequences and Series
- Chapter 2 Introducing Functions
- Chapter 3 Linear and quadratic functions
- Chapter 4 Rational Functions
- Chapter 5 Differentiation
- Chapter 6 Statistics for univariable data
- Chapter 7 Statistics for bivariate data
- Chapter 8 Probability
- Chapter 9 Exponentials and Logarithms
- Chapter 10 Integration
- Chapter 11 Geometry and Trigonometry
- Chapter 12 Trigonometric functions
- Chapter 13 More calculus
- Chapter 14 Probability distributions