![]() ![]() If Count from the previous row is 0, use the frequency for the new current row in Frequency Table – 1 otherwise, use the value from the previous row – 1 If Count from the previous row is 0, increment the current row in the Frequency Table otherwise, keep the current row pointer. If Count for the previous row is 0, use the next score in Frequency Table otherwise use the score from the previous row. The contents of the cells in the second row of the Raw Data Table are as follows: Cell ![]() The number of times the score in the current row in the Frequency Table still needs to be duplicated. Points to the current row in the Frequency Table Points to 1 st score in the Frequency Table The contents of the cells in the first row are as follows: Cell To create the Raw Data table, we start by creating the first two rows of the table. The Count column contains the number of times the score in the current row of the Frequency Table still needs to be duplicated. The Row column contains a pointer to the row in the Frequency Table that is being processed (the current row), starting with 1 and ending with 7 (since there are 7 rows in the Frequency Table). Column E contains the resulting 15 raw data elements in the sample and Columns F and G are used to create the data in column E.įigure 1 – Conversion from frequency table to raw data ![]() To accomplish this, we build the table on the right side of Figure B3.6. The cumulative frequencies are shown in column C, although these won’t be used to create the raw data. raw data with repetitions).Įxample 1: Convert the data in the frequency table with seven observed scores shown in range A5:B12 of Figure 1 into raw data format. We first show how to change data that is presented in frequency table format into individual samples with repetitions (i.e. ![]()
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