TY  - BOOK
ED  - 3G E-learning LLC, USA.
TI  - Statistics and probability
SN  - 9781984680365
U1  - 519.5 T41 23
PY  - 2023///
CY  - New York, NY, USA
PB  - 3G E-learning LLC
KW  - Probabilities
KW  - Mathematical statistics
KW  - Statistics
N1  - Includes bibliographical references and index; Section 1 Random Variables and Probability Distributions
Unit 1 Concepts of Random Variables and Probability Distributions
Section 2 Normal Distribution
Unit 2 Normal Probability Distribution
Section 3 Sampling and Sampling Distributions
Unit 3 Concepts of Sampling and Sampling Distributions of the Sample Mean
Section 4 Estimation of Parameters
Unit 4 Estimation of Population Mean and Proportion
Section 5 Tests of Hypothesis
Unit 5 Concepts of Tests of Hypotheses on the Population Mean and Population Proportion
Section 6 Correlation and Regression Analysis
Unit 6 Concepts of Correlation and Regression Analyses
Section 7 Approximating the Probability Distribution of Functions of Random Variables
Unit 7 Approximations and the Class of Normal Inverse Gaussian Distributions  
Unit 8 Joint Probability; CoED; Bachelor of Secondary Education major in Mathematics
N2  - Probability is widely used in all sectors in daily life like sports, weather reports, blood samples, congenital disabilities, statics, and many. Statistics are the sets of mathematical equations that we used to analyze the things. It keeps us informed about, what is happening in the world around us. It is mostly used to keep records, calculate probabilities, and provide knowledge. Basically, it helps us understand the world a little bit better through  numbers and other quantitative information. Thus, the application of statistics is evident in our everyday activities. Because of the importance of statistics and probability in everyday life, virtually every set of standards and recommendations for the secondary school curriculum includes a strand in statistics and probability. Statistics techniques are important in integration, differentiation, and algebra and you can find those in statistics as well.  
It aims to inspire learners in striving harder by developing a sense of responsibility and commitment as they go along with the course. This course teaches how to find the mean and variance of a random variable, to apply sampling techniques and distributions, to estimate population mean and proportion, to perform hypothesis testing on population mean and proportion, and to perform correlation and regression analyses on real-life problems.
ER  -