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With the help of these notes and the process of frequency distribution. NO val R = HS-LS Class Interval Tally Frequency R = 17 -

With the help of these notes and the process of frequency distribution.

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NO val R = HS-LS Class Interval Tally Frequency R = 17 - 31 31- 35 es of R = 46 34-40 GI K = 10 41-95 7/4181 9 TO R 46 -50 MK - TH 11 - 12 K 4 / = 4.6 ~ 5 51 -65 TH-101 10 56-60 MLI- 1 2 = class interval 41-65/ 1111 64-70/ 181 3 71 -75 11 1 N= 54Activity #7 Create a grouped frequency distribution table of the data below. Use 6 as tentative number of classes. Elementary Statistics Activity #8 Construct the grouped frequency distribution table of the data below. These data represent the record high temperatures for each of the 50 states. Construct a grouped frequency distribution for the data using 7 classes. 112100127120134118105110109112 110118117116118122114114105109 107112114115118117118122106110 116108110121 113120119 111 104 111 120113120117105110118112114114 Frequency Distribution Table for Grouped Data Steps in creating frequency distribution table for grouped data. 1. List the observations in an array. 2. Determine the rangelR). Range = Highest Score Lowest Score 3.Determine the tentative number of class interval (K) to use. The ideal number of class intervals is between 5 and 15. C _ 5 Round off C to the nearest odd K numbers less than or equal to C 4. Determine the class limits. The class limit should start with a multiple of the class interval. 5. Make a tally and summary of frequencies. 6. Determine the class mark (CM), the midpoint of the class intqval. Class mark is equal to the sum fat the upper and lower values aeach class. U l. where U Is the upper value and CM = T lower value of each class. 7. Determine the cumulative frequency (cf) by successively adding the interval frequencies starting from the bottom. Example: Make a frequency distribution table of the scores of 54 students in a diagnostic test in mathematics

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