{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Final Exam Study Guide

# Final Exam Study Guide - Chapter 1 Definition of statistics...

This preview shows pages 1–2. Sign up to view the full content.

Chapter 1 o Definition of statistics Statistics is a collection of procedures and principles for gathering data and analyzing information to help people make decisions when faced with uncertainty. Chapter 2 o Raw data- numbers and category labels that have been collected but have not yet been processed o Population versus sample-We generally want to describe a population using statistics but it is unrealistic to measure variables on every observational unit in the population. A subset of the population from which we can gather information is called a sample o Parameter versus statistic- Values from the entire p opulation are called p arameters. Values from the s ample are called s tatistics o Variable types and roles Types of Variables Categorical – group or category names that don’t necessarily have any logical ordering Color of M&M’s Gender Stat 200 Section Ordinal – categorical variable where values or categories have a natural ordering Rate the roller coaster on a scale of 1-5 (1 is terrible and 5 is excellent) Age groups (child, teen, adult, senior citizen) Shirt sizes (S, M, L, XL) Quantitative – numerical values taken on each individual Height Temperature # of Red M&M’s Possible Roles Played by Variables: Response Variables – the variables of which we want to determine the outcome. These are the variables of main interest. Explanatory Variables – variables that partially explain the value of the response variable for the individual o How to summarize categorical variables Numerical summaries: Frequency – count Relative frequency – the count in a category relative to the total, count over all categories (%) Frequency distribution – a listing of all categories along with their frequencies Relative frequency distribution – a listing of all categories along with their relative frequencies Visual Summaries: Pie chart – use for one categorical variable with few categories Bar graph – use for one or two categorical variables o How to summarize quantitative variables Summary Features: Distribution – the overall pattern of how often the possible values occur, defined by the location, spread and shape of the data. Location – the center or average value, defined by the median or mean Spread – the variability defined by the range, interquartile range, standard deviation or variance Shape –

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 4

Final Exam Study Guide - Chapter 1 Definition of statistics...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online