Statistics View 
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View Menu > Statistics View The temperature data in a Temprecord data window can be displayed in one of four view modes. These are summary view, statistics view, values view and graph view. The statistics view displays an analysis of the temperature data in relation to the lower and upper limits, and the start and end samples. You need to read the logged temperature data to see the statistics view of the logger. Using the File/Query Logger function only reads the summary data.
You can select the statistics view mode by opening the View menu and clicking on 'Statistics'.
General Statistics The statistical information displayed consists of:
If Humidity was logged instead, these statistics are available for the logged humidity samples. If both Humidity and Temperature were logged, these statistics are available for both. You can select between them by using the View/Temperature, View/Humidity, and View/Temperature and Humidity menu options.
The general statistical information is presented for up to three separate groups  all samples, samples between start and end markers, and samples in the visible graph window.
Statistics for all Samples The statistical information is presented for all samples in the logger. This group is always presented in the statistics view on screen and in the printed report, if the Show General Statistics option is checked.
Statistics for Samples Between Start and End Markers If you have set start and end samples that are different from the first and last samples in the logger, the above parameters are calculated again using only those samples between the start and end samples. The statistical information is then presented for those samples. This group also is presented in the printed report, if the Show General Statistics option is checked.
This is useful when you want to exclude a portion of the data record, e.g. the time when the logger was not in a controlled environment.
Statistics for Samples Visible in the Graph View If you have the graph view of the logger samples displayed, and the displayed range is not the whole sample record, and the displayed range is different to the range between the start and end markers, different the above parameters are calculated again using only those samples that are visible on the graph view window. The statistical information is then presented for those samples. This group also is presented in the printed report, if the Show General Statistics option is checked.
TTV (Total Temperature Value) Statistics Temprecord can also calculate and display TTV (Total Temperature Value) statistics. To enable this facility, click on Options/Statistics, and make sure Show TTV Statistics is checked. The TTV statistics are displayed after the statistics for all samples and statistics for samples between the start and samples are displayed. The TTV statistics are calculated for one or more periods starting from the start sample. The temperature limits, duration and number of TTV periods are set using the statistics view options
For more information on the derivation and application of TTV statistics, see the topic Total Temperature Value. There are also options that control whether the TTV statistical data is shown, printed or exported. See Graph View Options, Printing Options, and Export Options for more details.
PHI Statistics Temprecord can also calculate and display PHI (Process Hygiene Index) statistics. To enable this facility, click on Options/Statistics, and make sure Show Growth Statistics is checked. The PHI statistics are displayed after the statistics for all samples and statistics for samples between the start and samples are displayed. The PHI statistics are calculated between the start and end samples only.
For more information on the derivation and application of PHI statistics, see the topic Process Hygiene Index.
Mean Kinetic Temperature (MKT) Mean Kinetic Temperature (MKT) is a way of expressing the overall effect of temperature fluctuations during storage or transit of perishable goods with a single temperature value, the Mean Kinetic Temperature.
MKT is a calculated, single temperature that is better represents the effects of temperature variations over a period of time then a simple averaging of the temperatures.
Temprecord calculates the MKT value for the samples between the start and end samples and displays the value on the graph view and Statistics view.
For more information on MKT, see the topic Mean Kinetic Temperature.
Refrigeration Index (RI) Statistics Temprecord can also calculate and display RI (Refrigeration Index) statistics. To enable this facility, click on Options/Statistics, and make sure Show Refrigeration Index Statistics is checked. The RI statistics are displayed after the PHI statistics. The RI statistics are calculated between the start and end samples only. Remember that if a file has just been loaded the start sample is set to the first sample and the end sample to the last sample.
The RI value is calculated for each sample and is cumulative. If the temperature falls below 7.0 degrees C the RI value at this point is reported. The RI value is also reported at the end sample, regardless of whether the 7.0 degree C temperature was reached.
The time interval taken for the temperature to fall to 7.0 degrees C is also reported.
The RI value displayed is a logarithmic value, and represents the base 10 log of the number of generation increases over the time period.
If the Show Refrigeration Index Statistics option is checked the refrigeration index is also plotted on graph view. See Refrigeration Index Graph View for more information.
For more information on the derivation and application of RI statistics, see the topic Refrigeration Index.
The settings of the lower and upper limits affect how the statistical data is displayed. See the topic how the limits are used when Temprecord displays data for more information.
See also: Exporting daily average temperatures

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