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## Sampling and Experimental Design

by: Ashley Turner

13

0

1

# Sampling and Experimental Design ST 370

Marketplace > North Carolina State University > Statistics > ST 370 > Sampling and Experimental Design
Ashley Turner
NCS
GPA 3.0

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These notes are from my first 2 classes! It covers most of the basic definitions that we will be using throughout the class and sets the stage for what statistics is about and the different kinds o...
COURSE
Probability and Statistics for Engineers
PROF.
Justin Blaise Post
TYPE
Class Notes
PAGES
1
WORDS
KARMA
Free

## Popular in Statistics

This 1 page Class Notes was uploaded by Ashley Turner on Wednesday January 13, 2016. The Class Notes belongs to ST 370 at North Carolina State University taught by Justin Blaise Post in Fall 2015. Since its upload, it has received 13 views. For similar materials see Probability and Statistics for Engineers in Statistics at North Carolina State University.

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Date Created: 01/13/16
Sampling and Experimental Design: Here are a few basic definitions that set the stage for some of the terminology you use in sampling: Population All the people or items of interest that you are looking to make an inference for Sample  A small subset of the population to observe data on - The sample must be unbiased and representative of the population for an inference to be made Statistic  summary conclusion made about the sample Parameter  summary conclusion made about the population Statistics in a 4 step process: 1. Identify a research objective a. The group of interest b. The characteristic you want to talk about 2. Collect information needed to answer the questions a. Design experiment b. Sampling units 3. Run experiment/Organize & Summarize the data a. Descriptive statistics b. Mean/Median/Histograms/Boxplot etc. 4. Draw conclusions from the information a. Statistical inferences b. Confidence Intervals c. Hypothesis Tests 2 Types of Data (each having two types of data): 1. Quantitative  Numerical measurements a. Discrete – Finite (# of flowers on a plant: 0, 1, 2, 3, etc.) b. Continuous – any value in an interval (Temp: -149.67 °, -149.68 °, -149.69 °, ∞)  2. Qualitative  label or attribute measurements a. Nominal – No ordering (Male/Female) b. Ordinal – Can order categories (Sports Rankings)

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