Use confidence intervals to determine the number of samples needed. {This will be useful for your lab as you should make this calculation.) Last spring. you learned about condence intervals. Today we'll use what you learned {and maybe forgot most of) to determine how many samples you" ll need to collect so the average voltage will be within the desired accuracy. This will take some assumptions and some work. So, here goes: The confidence interval {CI} equation is: p: = i : Elr'e' +1 Assume that the voltage you are measuring has a true mean of approximately 1 volt {of course we don't know the actual mean or true value= but that's OK} . And note: During lab. you will be able to use the voltage you read from the digital multimeter as it is already an average value. Tier-rt= suppose you desire to know your average {3 vs \"true" value (u) within :00] {15199111} ofa volt. Next: you must choose a confidence probability. Let's assume you want to be QDQ'B condent, so of? = 9.95 (or DEEyour choice}. Do reverse lookup in a 2'- table or use Excel function NDRL'I.DIR-TU.95=U=1}= Also. you must have a value for o. For this question: assume it is [1.023. In your lab you'll have to estimate itsee Notes below). Note 1: Standard deviation in CI equation is for the entire population. We are going to calculate it for the sample and assume it is \"good enough."= After you've calculated the minimum sample size you need to collect. just collect a few extra data points to make sure you will have collected enough. You can also rerun your calculations on the larger data set to confirm you are collecting enough data points. Next: rearrange the CI equation to solve equation for N = Plug numbers in: h : [estimated number of samples to collect. You can't take a fraction of a sample so increase to the next whole number)