The table of descriptive statistics provides the baseline information.
Summary Statistics for the Data
N M SD Skew Kurt
Outcome 8.000 4.000 3.117 0.151 -0.467
These values of the descriptives are identical to the values that would be provided by the “Descriptives” procedure.
The table of inferential statistics shows the key elements to be interpreted.
Confidence Intervals for the Means
M SE df LL UL
Outcome 4.000 1.102 7.000 1.394 6.606
Using the “LL” and “UL” for the confidence interval, the researcher concludes that the true population mean is likely between 1.394 and 6.606 (knowing that the estimate could be incorrect).
Confidence intervals provide a range estimate for a population value (e.g., the mean). Note that the width of the interval can be altered to reflect the level of confidence in the estimate.
The participants (N = 8) scored low on the Outcome (M = 4.00, SD = 3.12), 95% CI [1.39, 6.61].