Statistics Intro to Statistics

University:
Bradley University
Course:
MTH 325 | Probability and Statistics I
Academic year:

2022
Views:

111

Pages:

1
Author:

Kristopher Elliott

INTRO TO STATISTICS WHAT IS STATS? Decisions or predictions are often based on data—numbers in context. These decisions or predictions would be easy if the data always sent a clear message, but the message is often obscured by variability. Statistics provides tools for describing variability in data and for making informed decisions that take it into account. SAMPLE VS POPULATION The population is the whole where the sample is a part of the whole. Think of it as a pizza, the population is the entire pizza and the sample is a slice of the pizza. CLASSIFYING DATA Classifying data is the process of separating data into similar groups based on their characteristics. There are multiple types of data groups, there's: ● Geographical: Data that is classified with reference to geographical locations such as countries, states, cities, districts, etc. it is known as Geographical Classification. ● Chronological: Data that is grouped according to time, such a classification is known as a Chronological Classification. ● Qualitative: Under this classification, data is classified on the basis of attributes or qualities such as honesty, beauty, intelligence, literacy, marital status etc. ● Quantitative: This type of classification is made on the basis of some measurable characteristics like height, weight, age, income, marks of students, etc. EXPERIMENTAL DESIGN Experimental design is the branch of statistics that deals with the design and analysis of experiments. Participants are allocated to the different groups in an experiment with types of design including repeated measures, independent groups, and matched pairs designs. The researcher must decide how they will allocate the sample to the different experimental groups.