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Statistics in psychology is very important. One must need to use statistics in psychology to document a behavioral reaction to a conditional stimuli and find a pattern or relation to a certain condition or stimulus. For example, one may need to use statistics to know if hot environments improve peoples focus on work by noticing trends in work completion in relation to heat. Another example of a way statistics could be applied to psychology is if one wants to know the relationship of age and mairrage. One may want to find the mean age that people get married so they can know what the average age of mairrage would be. These are just examples.
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Give a comprehensive account of the importance of statistics?
give a comprehensive account of the importance of statistic
What is the importance of statistic in pharmacy?
syempre wala!
What are the five importance of statistic?
planning to be informed consumer to know when to hire statistician
What are the importance of information communication technology to secretaries profession?
computer system in the study of statistic
What are the importance of statistics to banking and finance?
In the field of banking and finance, statistic is a necessity. It needs the statistic to monitor and prepare the budget, formulation of policies, to prepare a report for the Board and regulatory authorities, and to monitor the performance of organization.
What are the importance of health examinotio n?
A health examination is often used to get a baseline. This is composed of statistic that can be monitored and used to keep track of progress of the treatment plan.
What is diffrence between statistic and statistics?
statistic is singular and statistic is plural
What is a negative statistic?
a statistic that is not in youre favor
What is the importance of statistics in psychology?
what is the importance of Psychology
What is the importance of the x-intercept?
What is the importance of the x-intercept What is the importance of the x-intercept What is the importance of the x-intercept
What is the Importance of chi-square?
If you have a set of observations and a model under which you have expected values for these observations, then you can calculate a statistic which is the sum of [(Expected - Observed)^2]/Expected for each observation. Then, provided that the observations are independent, this statistic has an approximate chi-squared distribution. If the "errors" = Expected - Observed are Normally distributed then the calculated statistic has a ch--square distribution.This is a goodness-of-fit test and is a measure of how well the observations fit in with your expectations under some model. It is a very powerful test for parametric as well as non-parametric models.
What does the baseball statistic A mean?
It is a defensive statistic that stands for "Assists"
