Chapter 10 discusses samples, populations, and sampling methods in statistics. It covers the importance of obtaining a representative sample from a larger population and the challenges of doing so. The chapter also introduces the Law of Large Numbers. Additionally, it explains the concept of sampli...
Summary Learning Statistics with R - Statistics 1 with R code examples
Summary Statistics for Premasters DSS
Summary of Statistics for Pre-master DSS
All for this textbook (6)
Written for
Tilburg University (UVT)
Cognitive Science & Artificial Intelligence
Statistics for CSAI II
All documents for this subject (1)
Seller
Follow
relaxbodices0x
Content preview
Chapter 10
10.1 Samples, populations and Sampling
Our data set (sample) is finite, and incomplete. We can’t get everybody to participate
in our experiment. A sample in statistics is a subset of data collected from a larger
population. It's used to make inferences about the population characteristics, and the
quality of the sample is crucial for the reliability of those inferences.
10.1.1 Defining a population
A population refers to the set of all possible people/observations you want to draw
conclusions about. This is generally much bigger than the sample.
10.1.2 Simple random samples
The relationship between the sample and the population depends of the procedure
by which the sample was selected. Referred to as a sampling method.
A procedure in which every member of the population has the same chance of being
selected is called a simple random sample. We cannot observe the same thing
twice. Observations are said to have been sampled without replacement in that
case. We can also perform a simple random sample procedure with replacement.
Now it is possible that we observe the same things multiple times.
Chapter 10 1
, 10.1.3 Most samples are not simple random samples
Obtaining a true simple random sample from most populations is a difficult task.
While a comprehensive discussion of sampling schemes is beyond our scope, here
are a few key alternatives:
Stratified Sampling: This method involves collecting separate random samples
from distinct subpopulations, making it more practical when the population is
already stratified and more efficient when some subpopulations are rare.
Snowball Sampling: Useful for hidden or hard-to-reach populations, it starts
with a small group and expands through referrals, but it can result in non-random
samples.
Chapter 10 2
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller relaxbodices0x. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $6.17. You're not tied to anything after your purchase.
