Sharp Elw531h Owners Manual
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30 Operation Display Correction after pressing : Correction prior to pressing immediately after a data entry: Delete incorrect data with , then enter the correct data. Use to display the data previously entered. Press to display data items in ascending (oldest first) order. To reverse the display order to descending (latest first), press the key. Each item is displayed with X:, Y:, or F: (n is the sequential number of the data set). Display the data item to modify, input the correct value, then press . Using , you can correct the values of the data set all at once. • When or appears, more data items can be browsed by pressing or . • To delete a data set, display an item of the data set to delete, then press . The data set will be deleted. • To add a new data set, press and input the values, then press . Data table 2 X: 30, 40, 40, 50 X: 30, 45, 45, 45, 60 Select single-variable statistics mode 40 2 50 30 DATA CORRECTION (VJEF #PPL@&-8 1.
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31 OperationDisplay 45 3 60 APPLICATIONS: Single-variable statistical calculations are used in a broad range of fields, including engineering, business, and economics. They are most often applied to analysis in atmospheric observations and physics experiments, as well as for quality control in factories.
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32 Data table 3 Operation Display 6.2 13 6.1 15 8.2 7 The table below summarizes the dates in April when cherry blossoms bloom, and the average temperature for March in that same area. Determine basic statistical quantities for data X and data Y based on the data table. Select dual-variable statistics mode and linear regression calculation in sub-mode. 1998 1999 2000 2001 2002 2003 2004 2005 6.2 7.0 6.8 8.7 7.9 6.5 6.1 8.2 13 9 11 5 7 12 15 7 Year x Average temperature y Date blossoms bloom . . . (VJEF #PPL@&-8 1.
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33 “ANS” KEYS FOR 2-VARIABLE STATISTICS In addition to the 1-variable statistic keys, the following keys have been added for calcu- lating 2-variable statistics. NOTE: The codes for basic statistical quantities of sample data x and their meanings are the same as those for single-variable statistical calculations. Let’ s check the results based on the previous data.Calculates the sum of the product for sample data x and sample data y. Calculates the sum of the data (sample data y). Calculates the sum of the data (sample data y) raised to the second power. Calculates the average value of the data (sample data y). Calculates the standard deviation for the data (sample data y). Calculates the standard deviation of a data population (sample data y). 7.175 (Average for data x) 0.973579551 (Standard deviation for data x) 0.91070028 (Standard deviation of the population for data x) 9.875 (Average for data y) 3.440826313 (Standard deviation for data y) 3.218598297 (Standard deviation of the population for data y) 8 (Total count of data) 57.4 (Sum of data x) 418.48 (Sum of data x raised to the second power) 544.1 (Sum of the product of data x and data y) 79 (Sum of data y) 863 (Sum of data y raised to the second power) (VJEF #PPL@&-8 1.