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Inferential statistics
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Inferential statisticsINFERENTIAL STATISTICS QUESTIONS AND ANSWERS Inferential statistics - answer-Statistical tests whose goals is to determine the probability of an occurrence -Analyze data to est. the likelihood that different in the groups are the result of chance as opposed to the manipula...

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  • September 3, 2024
  • 4
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers

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  • Inferential statistics

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INFERENTIAL STATISTICS QUESTIONS AND
ANSWERS

Inferential statistics - answer-Statistical tests whose goals is to determine the
probability of an occurrence
-Analyze data to est. the likelihood that different in the groups are the result
of chance as opposed to the manipulation of variables.

Probability - answer-refers to the likelihood that the difference between
groups are the result of chance. Acceptable levels of chance must be
specified in order to keep w/in the framework of inferential stats

Standard error( sampling error) - answer-The discrepancy between the char.
of the sample and the population. The discrepancies that occur when a small
group(sample) is selected to represent the char. of a larger
group(population)

Null Hypothesis - answer-A statistical statement that predicts no difference
between the groups of events or observations under study.
Inferential stats are used in an effort to reject the null, showing that a
difference does exist.

Statistical significance - answer--Involves Sub. a stats value for an observed
relationship and comparing the stat. value to a distribution of other stat.
values to determine how likely the value of interest could have occurred by
chance.

Level of significance ( Alpha Level) - answer-Whether null should be rejected
depends on the level of error that can be tolerated. --- Determined to ID the
prob. that the differnce between groups have occurred by chance rather
than in response to the manipulation of the variables.

Level of significance ( Alpha Level) - answer-P or alpha is usually .05 but can
be .01 or .001
-How many times out of a 100 or 1000 the null might incorrectly rejected.
The lower the A level the greater the confidence that the diff. between
groups did not occur by chance.

type 1 error - answer-rejecting the null hypothesis when it is true( no
difference between groups)




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