Transportation expenses to and from work are considered essential expenses. Charlie Jane would like to reduce this essential expense by biking to work rather than taking her car. She found 30 different ads both online and in print for the make and model of bicycle she wants to purchase. She made a list of the prices in ascending order. 250, 250, 275, 275, 275, 275, 280, 290, 290, 310, 310, 310, 310, 310, 315, 315, 315, 315, 315, 315, 320, 325, 325, 325, 330, 335, 340, 350, 350, 350 She wants to analyze the prices but is having trouble because there are so many numbers. How can she organize these prices in a helpful format? Solution Charlie Jane can set up a frequency distribution. A frequency distribution is a table that displays each value and its frequency (the number of times that value appears). The table below lists the price in one column and the number of times that price appeared in her data in the second column. Price, p ($) Frequency, f 250 2 275 4 280 1 290 2 310 5 315 6 320 1 325 3 330 1 335 1 340 1 350 3 TOTAL 30 She adds up the numbers in the frequency column to find the total frequency, which equals the number of pieces of data in her data set. She wants to be sure that she did not accidentally leave out a price. Because there are 30 prices in the set, and the sum of the frequencies is 30, Charlie Jane concludes her frequency distribution is correct.