Class Notes (836,291)
Canada (509,749)
Statistics (248)
STAT151 (157)
Lecture

Ch1and4.pdf

2 Pages
90 Views
Unlock Document

Department
Statistics
Course
STAT151
Professor
Paul Cartledge
Semester
Fall

Description
Section 1.1 Def’n: Statistics: 1) are commonly known as numerical facts 2) is a field of discipline or study Htets,tics is the art and science of learning from data. 3 main aspects of statistics: 1) Design: Planning how to obtain data to answer questions. 2) Description: Summarizing the obtained data. 3) Inference: Making decisions and predictions based on data. 1.2 - Population vs. Sample Def’n: A population consists of all elements whose characteristics are being studied. ste.e.nts samAple is a portion of the population selected for study. e.g. UofA students in this section A parameter is a summary measure calculated for population data. A statisticis a summary measure calculated for sample data. Types of statistics: Descriptive: methods to view a given dataset. e.g. averages, histograms Inferential: methods using sample results to infer conclusions about a larger population. e.g. t-tests, simple linear regression 4.1 Observation and Experimentation Def’n: An observational study is a study where a researcher observes characteristics of subjects in samples from populations of interest. expAeriment is a study where a researcher applies different treatments to different subjects and observes the outcomes. Drawing conclusions: 1. Infer to a larger population (Population) 2. Factor causes change in response (Causal) Both types of study allow for #1, but only a properly designed (and randomized) experiment allows for #2 to be valid. Experiments are not always feasible. 4.2 Sampling Def’n: A sampling frame is the list of subjects in the population from which the sample is taken. A random sample is a sample drawn in such a way that each element of the population has a chance of being selected. If chances are all the same Æ SRS of size n - e.g. A deck of cards: picking a card is a simple random sample. Moreover, placing the card back in the deck is a sample with replacement. Otherwise, there is sampling without replacement. Bias: - sampling bias: samples differ due to sys
More Less

Related notes for STAT151

Log In


OR

Join OneClass

Access over 10 million pages of study
documents for 1.3 million courses.

Sign up

Join to view


OR

By registering, I agree to the Terms and Privacy Policies
Already have an account?
Just a few more details

So we can recommend you notes for your school.

Reset Password

Please enter below the email address you registered with and we will send you a link to reset your password.

Add your courses

Get notes from the top students in your class.


Submit