How do i find the occupancy rate for multiple lots? This spreadsheets contains more lots than given. I only provided are part of lot 1 and a part of lot 2 because the file is too large. They all run together in one file and need the occupancy rate which is column D on my spreadsheet.  LotCode LotCapacity LotOccupancy OccupancyRate TimeStamp Day Lot01 863 174   11/20/2016 8:01 Sunday Lot01 863 179   11/20/2016 8:27 Sunday Lot01 863 189   11/20/2016 9:01 Sunday Lot01 863 197   11/20/2016 9:27 Sunday Lot01 863 226   11/20/2016 10:01 Sunday Lot01 863 247   11/20/2016 10:27 Sunday Lot01 863 331   11/20/2016 11:01 Sunday Lot01 863 400   11/20/2016 11:27 Sunday Lot01 863 469   11/20/2016 12:01 Sunday Lot01 863 510   11/20/2016 12:34 Sunday Lot01 863 594   11/20/2016 13:07 Sunday Lot01 863 618   11/20/2016 13:27 Sunday Lot01 863 637   11/20/2016 14:01 Sunday Lot01 863 655   11/20/2016 14:27 Sunday Lot01 863 634   11/20/2016 15:01 Sunday Lot01 863 597   11/20/2016 15:27 Sunday Lot01 863 533   11/20/2016 16:01 Sunday             Lot02 387 113   11/20/2016 8:01 Sunday Lot02 387 117   11/20/2016 8:27 Sunday Lot02 387 124   11/20/2016 9:01 Sunday Lot02 387 157   11/20/2016 9:27 Sunday Lot02 387 211   11/20/2016 10:01 Sunday Lot02 387 248   11/20/2016 10:27 Sunday Lot02 387 327   11/20/2016 11:01 Sunday Lot02 387 367   11/20/2016 11:27 Sunday Lot02 387 387   11/20/2016 12:01 Sunday Lot02 387 387   11/20/2016 12:34 Sunday Lot02 387 387   11/20/2016 13:07 Sunday Lot02 387 387   11/20/2016 13:27 Sunday Lot02 387 387   11/20/2016 14:01 Sunday Lot02 387 387   11/20/2016 14:27 Sunday Lot02 387 387   11/20/2016 15:01 Sunday Lot02 387 387   11/20/2016 15:27 Sunday Lot02 387 387   11/20/2016 16:01 Sunday Lot02 387 387   11/20/2016 16:31 Sunday

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Inverse Normal Distribution

The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.

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It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.

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A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.