PSYA4-stats Flashcards
Start will an alternative hypothesis-
Null hypothesis states that the results will not be significant. We have to accept that the null hypothesis is true until we can prove otherwise.
P value/level
Level of probability/significant
Type 1 error-
P value too Lenient/ too high.
Type 2
P value too strict/ too low
Interval-
Continuous data- equal level of measurements
Ordinal-
Data can put into order
Nominal-
Data in categories.
Test statistics-
Observe value.
Critical value-
Number you get after working out the calculations.
Descriptive-
Describe our data through graphs.
Inferential-
Describe our data through stats.
P-levels-
P
Significant?
If our test is significant, we can reject our null hypothesis and accept our alternative/experimental hypothesis.
If our test is not significant we can accept our null hypothesis and reject our alternative/experimental hypothesis
Type 1 errors can be made when you reject a null hypothesis that is TRUE-
if the significant level is too high/lenient.
Type 2 errors occur when you accept the null hypothesis and that is false
If the significant level is too low/strict
Justifying your choice-
Spearmans- hypothesis predicted is correlational- so test of correlation is needed- data is ordinal.
Chi-squared- data is put into categories- nominal data and IG design.
Mann Whitney- hypothesis predicts a difference between groups. IG- ordinal.
Wilcoxon- hypothesis predicts that they’ll be a difference between two conditions, RP