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STAT 100

Chance and Data Analysis

Winter 2018

Term Test 1

Professor: Gamage Perera

Exam Guide

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Table of content:

- Chapter 1: Where Do Data Come From?

- Chapter 2: Samples, Good and Bad

- Chapter 3: What Does Sampling Tell Us?

- Chapter 4: Sample Surveys in the Real World

- Chapter 5: Experiments, Good and Bad

- Chapter 6: Experiments in the Real World

- Chapter 7: Data Ethnics

- Chapter 8: Measuring

- Chapter 10: Types of Data

- Chapter 11: Displaying Distributions with Graphs

- Chapter 12: Describing Distributions with Numbers

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Chapter 1: Where Do Data Come From?

Statistics: The science of data

- We gain insight and make conclusions based on data

*Anecdotes: Family lives 150 feet from power line

Individuals: Objects (could be people or things) described by a data set

Variable: A characteristic of an individual that could be measured or observed.

- When we measure one or more variables for a set of individuals, we have a data set

2 Types of Variables

1. Numerical (numbers)

2. Categorical (categories)

Types of Studies

-Observational study: Researcher measures a response variable without attempting to

influence or control the response

-Experimental: Researcher intentionally applies some treatments to subjects and then

measures a response variable (Pill 1 to group A, Pill 2 to group B)

Population: The entire set of individuals about which we want to make conclusions

Sample: A part of the population for which we actually collect data

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