Introduction to Statistics

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Presentation transcript:

Introduction to Statistics Cal State Northridge 320 Andrew Ainsworth PhD

Psy 320 - Cal State Northridge What is Statistics? Statistics refers to the methods or procedures used to: Organize/Summarize data Analyze data Draw inferences (extract meaning) from data Well what do we mean by the term “data”? Data (plural; datum in singular) are the scores and observations we can make concerning people, animals, things or events. Psy 320 - Cal State Northridge

Common Uses of Statistics Description Inference Experimentation and statistical hypothesis testing. Correlation, regression and statistical hypothesis testing. Psy 320 - Cal State Northridge

Psy 320 - Cal State Northridge Use 1: Description Organizing data Reducing arrays of data to a few numbers Graphically Displaying Data Statistics  Samples Parameters  Populations Descriptive statistics: Used to describe characteristics of samples, e.g., The number of observations in the sample (n= number of cars in a sample of cars), or the average value of some variable in the sample (such as the average cost of cars in the sample). Or the correlation (e.g., r) between the cost of the cars in the sample and the acceleration of the cars in the sample (e.g., 0-60 mph/seconds). A statistic is defined as any characteristic of a sample (e.g., n or numbers of observations in the sample, M or average cost of the car in the sample). Psy 320 - Cal State Northridge

Psy 320 - Cal State Northridge Use 1: Description Disorganized Data Psy 320 - Cal State Northridge

Psy 320 - Cal State Northridge Use 1: Description More Organized Psy 320 - Cal State Northridge

Psy 320 - Cal State Northridge Use 1: Description Reducing Data Psy 320 - Cal State Northridge

Psy 320 - Cal State Northridge Use 1: Description Displaying Data Psy 320 - Cal State Northridge

Psy 320 - Cal State Northridge Use 2: Inference Inferential statistics: Is a set of procedures to infer information about a population usually based upon characteristics from samples. Samples  Populations Psy 320 - Cal State Northridge

Psy 320 - Cal State Northridge Sample vs. Population Population is the complete set of people, animals, events or objects that share a common characteristic A sample is some subset or subsets, selected from the population. representative simple random sample. Population is the complete set of people, animals, events or objects that share a common characteristic, e.g., All men over 50 yrs old in the USA All cars in Russia that cost less than $10,000 All republicans in the state of Rhode Island. A sample is some subset or subsets, selected from the population. Preferably, this sample is selected in such a way as to be representative of the population as a whole. One way to obtain such a representative sample is to draw a simple random sample. A simple random sample is one in which every datum, or observation of the population has an equal chance of being selected for the sample AND the selection of one member is independent of the selection of any other member. Psy 320 - Cal State Northridge

Use 3: Experimentation and hypothesis testing We are not only interested in describing samples and populations, but also in testing hypotheses about causal relationships among constructs. Psy 320 - Cal State Northridge

Use 3: Experimentation and hypothesis testing Does the number of hours students study per day affect the grade they are likely to receive in statistics (320)? Psy 320 - Cal State Northridge

Use 4: Correlation & Regression Sometimes manipulation is not possible Is prediction possible? Can a relationship be established? E.g., number of cigarettes smoked by per and the likelihood of getting lung cancer, The level of child abuse in the home and the severity of later psychiatric problems. Use of the death penalty and the level of crime. Psy 320 - Cal State Northridge

Use 4: Correlation & Regression Measured constructs can be assessed for co-relation (where the “coefficient of correlation” varies between -1 to +1.00) “Regression analysis” can be used to assess whether a measured construct predicts the values on another measured construct (or multiple) (e.g., the level of crime given the level of death penalty usage). -1 1 Psy 320 - Cal State Northridge