Class Notes (807,463)
Canada (492,743)
York University (33,498)
Psychology (4,069)
PSYC 2510 (86)

Introductory Statistics

3 Pages
Unlock Document

York University
PSYC 2510
Agnieszka Kopinska

INTRODUCTORY STATISTICS  Statistics – the use of numbers that allows for the collection, classification, and interpretation of facts  Another way of quantifying properties of objects or events of interest  Increase precision of communication/description  Used to go beyond the numbers  Population – all members of a group who are alike on at least one specified characteristic  Sample – any number of cases less than the total number of cases in the population from which it is drawn  Usually the object of studies  Used to make inferences about the characteristics of the larger population as a whole  Must be representative of the population to draw meaningful and accurate inferences  Samples from different populations can be compared in a study  Must be comparable – members of both samples would be expected to perform in the same way when tested in the same conditions  Selection methods matter TYPES OF SAMPLES  Radom Sample – each member of the pool has an equal probability of being selected on any given draw and each possible sample of members has an equal probability of being selected  May not be representative  Random from the whole population  Randomized sample – each member of the sample has an equal chance of being assigned to a given condition of the experiment  Already have your sample, but they are assigned to different parts of the study  Matched sample – yields pairs of observations to produce highly comparable groups  Two participants paired based on similarities in relevant characteristics and each takes part in one of the conditions OR  The same participant takes part in both conditions  Most suitable for experiments in which there are only 2 groups PARAMETERS AND STATISTICS  Population parameters – the properties of populations  E.g. The average number of books read by college graduates last year in North America TYPES OF DATA  Numerical data – data in numbers  Tell us how much of a given property each sample member exhibits  Magnitude data – number indicating the amount of a property that exists along a continuum (“how much”)  Rank-order (ordinal) data – amounts of a property expressed as a rank relative to other individuals (1 , 2 , 3 )d  Categorical/Nominal Data – information that reflects mutually exclusive categories in which participants fall  Either the characteristic is displayed or it isn’t  E.g. male or female, tall or short TYPES OF STATISTICS  Descriptive statistics – used to organize and summarize data  Measures of central tendency – common patterns in data (the mean, median and mode)  Normal distribution – mode, median and mean are all equally distributed  Stability – the mean is usually the most stable across samp
More Less

Related notes for PSYC 2510

Log In


Don't have an account?

Join OneClass

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

Sign up

Join to view


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.