Introduction to Statistics: Key Concepts and Methods, Study Guides, Projects, Research of Statistics

A concise overview of fundamental statistical concepts and methods. It covers descriptive and inferential statistics, including data organization, summarization, and presentation. Key terms such as population, sample, parameter, and statistic are defined, along with different types of variables (qualitative/categorical and quantitative/numerical). The document also outlines various sampling principles and strategies, including simple random sampling, stratified random sampling, and cluster sampling. Additionally, it discusses potential errors in sampling and non-sampling contexts, different types of statistical studies (observational and experimental), and methods for quantitative summarization, such as frequency tables and measures of central tendency and spread. This summary is useful for students learning the basics of statistics.

Typology: Study Guides, Projects, Research

2024/2025

Uploaded on 10/01/2025

briana-davis-4
briana-davis-4 🇺🇸

5 documents

1 / 5

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Statistics: The Science of collecting, classifying, organizing, summarizing, analyzing, presenting, and
interpreting data to make informed scientific decisions
Branches of stats
1. Descriptive
a. Organizing
b. Summarizing data
c. Presenting data in an informative way
2. Inferential
a. Determining something about pop. based on a sample
b. Methods for making decisions/predictions and drawing conclusions about the population.
Probability vs Inference: Relationship between population and sample
Terms
Population: a collection of all units that were interested in studying
Sample: a representative subset of the population
Census: Collection of data from every member of the population
Parameter: A numerical value that summarizes a characteristic of the entire population
(PERCENTAGE)
Statistic: a numerical value that summarizes the data from a sample
Unit/Subjects: The entity that is being observed
Variable: a characteristic about each element of a population/sample
Data: What was collected from the study
Variables
Qualitative/Categorical
Nominal - No rank or order
Ordinal - Natural order
Quantitative/Numerical
Discrete - Counted items
Continuous - measures items
Associated/Dependent variable: Two variables show a connection in some way
Independent Variables: Two Variables show no connection
Sampling Principles & Strategies
With Replacement: a member of the pop can be chosen more than once
Without Replacement: a member of the population is only selected once
Random: Each member has an equal chance of being selected
Nonrandom
Methods
1. Simple Random Sampling (SRS)
2. Stratified Random Sampling
pf3
pf4
pf5