Now measure and record the period for small angle motion with a stopwatch (there is no angle too small, so long as you can see it move). Measure the period in the following way: Move the mass away from equilibrium. Start a stopwatch and simultaneously release the mass. Stop the stopwatch after it swings 5 times back and forth. Record this value. Now acquire 5 more periods this way (each with five swings) so that you have six measures of the period of the same pendulum. Q2: What is the period of the pendulum written as mean +/- error while using a 95% confidence interval? Measurement #1: 3.17 Seconds (Period - T=0.634) Measurement #2: 2.95 Seconds (Period - T=0.590) Measurement #3: 3.25 Seconds (Period - T=0.650) Measurement #4: 3.16 Seconds (Period - T=0.632) Measurement #5: 3.17 Seconds (Period - T=0.634) Measurement #6: 3.22 Seconds (Period - T=0.644) Mean = 3.784/6=0.630 I do not understand how to produce the error +/- while using the 95% confidence interval. Could you please help with that?

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...