Probability Experiment
Process which leads to well-defined results call outcomes
Outcome
The result of a single trial of a probability experiment
Sample Space
Set of all possible outcomes of a probability experiment
Event
One or more outcomes of a probability experiment
Classical Probability
Uses the sample space to determine the numerical probability that an event will happen. Also called theoretical probability.
Equally Likely Events
Events which have the same probability of occurring.
Complement of an Event
All the events in the sample space except the given events.
Empirical Probability
Uses a frequency distribution to determine the numerical probability. An empirical probability is a relative frequency.
Subjective Probability
Uses probability values based on an educated guess or estimate. It employs opinions and inexact information.
Mutually Exclusive Events
Two events which cannot happen at the same time.
Disjoint Events
Another name for mutually exclusive events.
Independent Events
Two events are independent if the occurrence of one does not affect the probability of the other occurring.
Dependent Events
Two events are dependent if the first event affects the outcome or occurrence of the second event in a way the probability is changed.
Conditional Probability
The probability of an event occurring given that another event has already occurred.
Bayes' Theorem
A formula which allows one to find the probability that an event occurred as the result of a particular previous event.

Related Posts:

  • Scheffé Test When the decision from the One-Way Analysis of Variance is to reject the null hypothesis, it means that at least one of the means isn't the same as the other means. What we need is a way to figure out where the differences … Read More
  • Two-way analysis of variance The two-way analysis of variance is an extension to the one-way analysis of variance. There are two independent variables (hence the name two-way). Assumptions The populations from which the samples were obtained must be… Read More
  • Tukey Test When the decision from the One-Way Analysis of Variance is to reject the null hypothesis, it means that at least one of the means isn't the same as the other means. What we need is a way to figure out where the differences … Read More
  • Two-Way ANOVA Table & Error in Bluman Textbook Two-Way ANOVA Table It is assumed that main effect A has a levels (and A = a-1 df), main effect B has b levels (and B = b-1 df), n is the sample size of each treatment, and N = abn is the total sample size. Notice the over… Read More
  • One-Way Analysis of Variance A One-Way Analysis of Variance is a way to test the equality of three or more means at one time by using variances. Assumptions The populations from which the samples were obtained must be normally or approximately norm… Read More

0 Comments:

Powered by Blogger.

Visitors

197854
Print Friendly Version of this pagePrint Get a PDF version of this webpagePDF


 download University Notes apps for android

Popular Posts

Flag Counter