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STAT 100 Midterm: STAT100, Term Test 1

38 Pages
Fall 2018

Course Code
STAT 100
Study Guide

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Simon Fraser University
STAT 100
Chance and Data Analysis
Winter 2018
Term Test 1
Professor: Gamage Perera
Exam Guide
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
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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Simon Fraser University STAT 100 Chance and Data Analysis Winter 2018 Term Test 1 Professor: Gamage Perera Exam Guide
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