LEARNING IN STATISTICS AND PROBABILITY

My learnings in this subject is, statistics and probability is very important tools in many fields of human endeavor.Statistics and probability is designed to deepen my understanding of and make me appreciate the real life importance of the science of data processing and forecasting events.Though the learning activities, enriched the goal of the K-12 curriculum to home me as a self regulated learner armed with critical thingking and sound reasoning skills.

"Number rule the universe" a saying that really best reflects through math. I have experienced and proven that number is everything in this world from home to school. I always think about all my learnings especially statistics and probability subject. though i'm really having a headache just thingking about it, I can't help it but found myself under it's spell.

Considering the randomness and uncertainties of life, decision making is a very essential skill that we must possess now a days. Everyday we face various situations that require us to make sensible decisions. For instance, You decided whether or not to take a certain college degree since there are many factors to consider or you want to know whether or not to buy a certain product after knowing the history of the company that manufactured it. These and other similar events and situations in real life can be better decided only with careful choices that can only be made with precise anticipation of chances.

Probability is the body of knowledge that focuses on activities that involve predicting chances and quantifying he randomness of events. Because of its practically in the real world, probability has been included in the regular high school curriculum, It has many applications in various fields of human activity such as in statistics, business, political science, economics, manufacturing industry, education and so on.

Probability allows us to appreciate its importance. It covers essential topics from counting techniques to sample distribution which arrange inductively, taking into consideration background knowledge of other mathematics disciplines such as algebra. In addition, those topics covered in the modules are sequentially arrange, nothing that the previous module is a prerequisite to the next, thereby,deepening your understanding and grasp of the subject.

Probability and Statistics or also called Statistics and Probability are two related but separate academic disciplines. Statistical analysis often uses probability distributions, and the two topics are often studied together. However, probability theory contains much that is mostly of mathematical interest and not directly relevant to statistics. Moreover, many topics in statistics are independent of probability theory.
Statistics and probability are sections of mathematics that deal with data collection and analysis. Probability is the study of chance and is a very fundamental subject that we apply in everyday living, while statistics is more concerned with how we handle data using different analysis techniques and collection methods. These two subjects always go hand in hand and thus you can't study one without studying the other

This unit introduces learners to the logic as well as the technical side of the main forms of inference: point estimation, interval estimation and hypothesis testing. The unit covers inferential methods for the population mean and population proportion, inferential methods for comparing the means of two groups and of more than two groups. the Chi-Square test for independence and linear regression. The unit reinforces the framework that the course participants were introduced to in the Exploratory Data Analysis for choosing the appropriate, in this case, inferential method in various data analysis scenarios.

I've learned a lot of statistics and probability although there are some topics that is hard for me to understand but i'm trying my best to understand those. Even though i hate number. actually i don't like this kind of subject, i don't have interest in this subject. But i realize that it is important

In this course the unit is a classical treatment of probability and includes basic probability principles, finding probability of events, conditional probability, discrete random variables (including the Binomial distribution) and continuous random variables (with emphasis on the normal distribution). The probability unit culminates in a discussion of sampling distributions that is grounded in simulation. For a streamlined version of probability that forgoes the classical treatment of probability in favor of an empirical approach using relative frequency, course participants may see the OLI Statistical Reasoning course.