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
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.
Mean, Median, Mode
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.
Z-Scores
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.
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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