Sample size (N): This is the total number of observations you made. In your case, you have 14 measurements, so N = 14.

Sample mean (X): sum of the measurements is 636, so X = 636 / 14 = 45.43.

Sample variance (s^2): calculate all measurements, sum them up, and divide by N-1 (13).

Standard deviation (s): the square root of the variance.

Standard error (SE): calculate This is the standard deviation divided by the square root of the sample size. It measures the precision of your mean estimate.

95% confidence interval lower (LCI) and upper (UCI) limits: These are calculated as the sample mean minus and plus the product of the standard error and the Z-score for the desired confidence level (1.96 for 95% confidence).

LCI = X - (1.96 * SE)

UCI = X + (1.96 * SE)