outcome

(noun)

One of the individual results that can occur in an experiment.

Related Terms

Examples of outcome in the following topics:

  • Student Learning Outcomes

  • Multinomial Distribution

    • The binomial distribution allows one to compute the probability of obtaining a given number of binary outcomes.
    • The flip of a coin is a binary outcome because it has only two possible outcomes: heads and tails.
    • The multinomial distribution can be used to compute the probabilities in situations in which there are more than two possible outcomes.
    • " The following formula gives the probability of obtaining a specific set of outcomes when there are three possible outcomes for each event:

  • Disjoint or mutually exclusive outcomes

    • On the other hand, the outcomes 1 and "rolling an odd number" are not disjoint since both occur if the outcome of the roll is a 1.
    • If there are many disjoint outcomes $A_1$ , ..., $A_k$ , then the probability that one of these outcomes will occur is:
    • Statisticians rarely work with individual outcomes and instead consider sets or collections of outcomes.
    • This means they are disjoint outcomes.
    • 2.11: (a) Outcomes 2 and 3.

  • Student Learning Outcomes

  • Student Learning Outcomes

  • Student Learning Outcomes

  • Student Learning Outcomes

  • Student Learning Outcomes

  • Job Characteristics Theory

    • The Job Characteristics Theory is a framework for identifying how job characteristics affect job outcomes.
    • This alignment is important because the worker brings psychological states to bear upon the job that affect job outcomes when combined with the core characteristics.
    • Autonomy directly correlates to responsibility for outcomes, and knowledge of the actual results relates to feedback.
    • The combination of core characteristics with psychological states influences work outcomes such as:
    • Analyze the core characteristics, psychological states, and work outcomes in the Job Characteristics Theory, as identified by Hackman and Oldham

  • Probability

    • We often frame probability in terms of a random process giving rise to an outcome.
    • The probability of an outcome is the proportion of times the outcome would occur if we observed the random process an in finite number of times.
    • As more observations are collected, the proportion $\bar{\rho}_n$ of occurrences with a particular outcome converges to the probability p of that outcome.
    • (b) Describe all the possible outcomes of that process.
    • The outcome of this process will be a positive number.