Statistics Flashcards

1
Q

Statistical Significance

A
  • indicates results of an analysis are unlikely to be result of chance at a specified probability level
  • decision: reject null hypothesis or fail to reject null hypothesis
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2
Q

P Value

A
  • probability that a study’s finding is due to chance
  • the actual statistic
  • p=.10 means 10% probability findings are due to chance
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3
Q

Alpha Level

A
  • significance level
  • indicates threshold the investigators have selected to detect significance
  • lower alpha level, less likely to be due to chance
  • a=.05
  • used to determine confidence level
  • decided by researchers
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4
Q

Relationship Between P Value and Alpha Level

A
  • if p value is .10 and alpha level is at .05 then statistic indicates 10% chance differences/relationships between samples are due to chance
  • so p value > alpha level set by investigators which means they fail to reject null hypothesis
  • if p value < alpha level it is statistically significant and reject the null hypothesis
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5
Q

Descriptive Statistics

A
  • describe actual subjects encountered in study
  • measures of central tendency: mean, median, mode
  • measures of variability: standard deviation and coefficient of variation (SD/mean) unitless and can compare it more easily
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6
Q

Inferential Statistics

A
  • used to generalize, infer, findings from study to larger population from which sample is taken
  • parametric or non parametric
  • tests of differences or tests of relationships
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7
Q

Tests of Differences

A
  • compares 2 or more groups of subjects or sets of scores from sames subject
  • parametric or
  • nonparametric
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8
Q

Tests of Relationships

A
  • determine if 2 or more variables are associated with one another
  • parametric
  • nonparametric
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9
Q

Assumptions of Parametric Statistics

A
  • normal distribution
  • variances in samples being compared are roughly equal, homogenous
  • data are measured on interval or ration scale (sometimes ordinal)
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10
Q

Nonparametric Statistics

A
  • used when normality and homogeneity of variance criteria are not met
  • data are measured with nominal and ordinal scales
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