Statistics Test #3
Null hypothesis: Ho -> no significant effect of the independent variable, any
differences is likely to be due to chance alone. Joining a team shows no
significant difference in self
Stats Final Exam
Correlational studies: you start with a random sample, you measure two things (x
and y), and you can have a negative or positive correlation between them.
Measure the relationship bet
Stats Exam 1
Mode: the most frequent, you use the mode in the
NOMINAL/ORDINAL/INTERVAL/RATIO scale. The mode can be the less stable, from
sample to sample because of outliers. The mode is the less aff
Statistics Test #1 Study Guide
Independent variable: the one that youre testing for, seeing if it has an effect on the
Dependent variable: the outcome, the thing that you measure that is affected by t
Statistics Exam 2
Characteristics of a normal distribution:
1) Continuous Random Variable.
2) Mound or Bell-shaped curve.
3) The normal curve extends indefinitely in directions, approaching, but never
Stats Exam 2
-N (eta): curvilinear
Spurious Correlation: r value doesnt depict the true value. It inflates/overestimated OR it
underestimates
o
Using and inappropriate coefficient
o
Small sample size
Stats Exam 3
Alpha level of significance: This specifies the probability level for our evidence to be an
unreasonable estimate. By unreasonable, we mean that the estimate should not have taken
its par
Statistics Final
Discrete: qualitative, categories, words
Continuous: numbers, decimals, real limits, it has intervals
Null hypothesis: Ho -> no significant effect of the independent variable, any
dif
Statistics Exam #1 Review
Z-scores: specifies the precise location of each X value within a distribution. The sign of
the z-score (+ or -) signifies whether the score is above or below the mean. The n
Stats Final Review
Neumann-Keuls: This procedure is often used as a post-hoc test whenever a significant
difference between three or more sample means has been revealed by an analysis of
variance (ANO