Robina,

The mean is the average of responses to your questions. Interpreting them depends on what the specific questions are.

Standard Deviation is a measurement of how widely the responses were spaced. A low standard deviation indicates that the answers were all relatively close to the actual mean. A high standard deviation indicates that the data points are spread out over a wider range of values.

For your interpretation, a low standard deviation means there was relatively close agreement about the answers, i.e. all relatively close to the mean with just a little variation. A high standard deviation means answers were widely separated, such as some very positive and some very negative, meaning there was relative disagreement among various participants.

Understanding this range of answers can help you understand the experiences of your participants.

In your data, there was more disagreement about the answers for your SC question than for your SP question. It might be worth looking at the outliers to understand their perceptions, in addition to knowing the mean (average).

Nice simple explanation, Marek.

To add a little bit to Michael's explanation, with sc, your figures suggest that 68% of your responses were between 1.68 (2.51 - 0.650) and 2.33 (2.51 + 0.650), and 95% were between 1.03 (2.51 - 0.650*2) and 2.95 (2.51 + 0.650*2). Of course, all this assumes a normal (Gaussian) distribution. I suggest you create a histogram (or density plot) and find skewness and kutosis to check if this assumption is reasonable or not.

Thanks a lot all of you, specially, Marek & Willis. It will definitely help me a lot.