




Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community for help and clear up your study doubts
Discover the best universities in your country according to Docsity users
Free resources
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
Nature of Statistics, Populations, Samples of populations, Two Branches of Statistics, Variables and Data, Descriptive Statistics, Inferential Statistics, Qualitative and Quantitative Variables are learning points available in this lecture notes.
Typology: Study notes
1 / 8
This page cannot be seen from the preview
Don't miss anything!
Section 1 The Nature of Statistics Introduction Statistics is the science of conducting studies to collect, organize, summarize, analyze, and draw conclusions from data.
Descriptive Inferential Describes a situation Uses probability Consists of the collection, organization, summarization, and presentation of data. Generalizations from samples to populations, often using estimations or predictions backed up by hypothesis testing. Focuses on the relationship between variables. The U.S. Census Collect relevant data Organize and summarize data into meaningful observations using graphs, pie charts, etc. Smoking Causes Cancer Not proven but strong correlations by hypothesis testing with test groups. Descriptive or Inferential?
Variables and Types of Data: Qualitative and Quantitative Variables Variables can be classified as either qualitative or quantitative.
Measurement Scales Sometimes classifying data into qualitative and quantitative is not enough.
Collection Methods/The Survey Data is collected in many ways such as studying records and direct observation but the most common method is the survey. **1) Personal Interview Survey Pros: In depth responses to questions Cons: Need to train interviewers = costly
**- Cards in a bowl
In experimental statistics the variable being manipulated (independent) is called the explanatory variable , and the variable being studied (dependent) is the outcome variable.
“Using” Data (Misuse)