choosing a statistical test plus table

• 3 steps - is it difference or correlational - which experimental design is used - what data is used
• quant data can be split into - nominal - ordinal and interval
• can convert from higher data form to lower
• ordinal to nominal
• interval to ordinal
• parametric - data is normally distributed
• non parametric - not normally distributed
• nominal - represented in categories
• nominal example - do you like psych - yes or no
• ordinal - data which is ordered - different intervals are often not equal
• ordinal example - how much do you like psychology 1-10
• interval - nased on numerical scales that are precisely defined
• interval example - arranged by what time everyone came to school
• carrots should come mashed with swede under roasted potatoes
• if difference - need to check is it is related or unrelated
• degress of freedom - how mnay difference items are free to vary when estimating statistical parameters
• table of critical values - one or two tailed test - number of participants of df - level of significance
• to be significant - calculated must be more than critical
• two tailes = non directional hypothesis
• one tailed = directional hypothesis
• levels of significance - p>0.05 / 5% - less than 5% chance the findings are due to luck
• null hypothesis - no difference between conditions
• alternative hypothesis = directional hypothesis