Parametric ttests
[Error Graph]
Figure 1. Mean <DV> and Confidence Intervals for <IV>
On average, those in [condition 1] scored higher/lower than those in [condition 2]. The mean [DV] for [condition 1] was [mean 1] compared to [mean 2] for [condition 2]. The confidence intervals show that the means are reasonably close to the population mean. [Report upper and lower bounds if required]
*Plus one of the following*

Paired Samples ttest (withinsubjects, scale data, parametric)
A paired samples ttest (one/twotailed) revealed a non/significant difference in [DV] at the 5% level, t ([df]) = [t], p = [Sig.] *If Significant* with a significantly greater/smaller [DV] in condition 1 than condition 2. The mean difference between the conditions was [mean 1 – mean 2], with a small/medium/large effect size (d = [(mean 1 – mean 2) ÷ ((SD1 + SD2) ÷ 2)]). The 95% confidence intervals for the estimated population mean difference is between [lower] and [upper] *from Paired Sample Test*

Independent ttest (betweensubjects, scale data, parametric)
An independent ttest (one/twotailed) revealed a non/significant difference in [DV] at the 5% level, t ([df]) = [t], p = [Sig.] *If Significant* with a significantly greater/smaller [DV] in condition 1 than condition 2. The mean difference between the conditions was [mean 1 – mean 2], with a small/medium/large effect size (d = [(mean 1 – mean 2) ÷ ((SD1 + SD2) ÷ 2)]). The 95% confidence intervals for the estimated population mean difference is between [lower] and [upper] *from Independent Sample Test*