Organize qualitative data through frequency distribution tables and graphs. Use frequency distribution tables to group quantitative data. Construct histograms and frequency polygons given a set of quantitative data.

A chef wants to build his own restaurant in a certain area. He decide to base his menu on the preferred cuisine of the immediate residents of the area so he did a survey on that. Of the 200 residents interviewed, 93 stated a preference to home-cooked Filipino food. Thirty-nine likes Chinese food while 45 goes for the classic American fast food. On the other hand 16 would go for Japanese, while the rest were undecided.

CuisineNumber of Residents Filipino93 Chinese39 American45 Japanese16 Undecided7 N=200

CuisineNumber of Residents Relative Frequency Filipino Chinese American Japanese Undecided73.50 N=200

A survey was taken on 5 th Ave. In each of 20 homes, people were asked how many cars were registered to their households. The results were recorded as follows: 1, 2, 1, 0, 3, 4, 0, 1, 1, 1, 2, 2, 3, 2, 3, 2, 1, 4, 0, 0 Construct a frequency distribution table for the given data.

Number of Cars Owned Number of Residents Relative Frequency N=20

Number of Cars Owned Number of Residents Relative Frequency Cumulative Frequency > Cumulative Frequency < N=20

The following are the height of 30 students in a school: Represent the data through a frequency distribution table.

One. Solve for the RANGE and CLASS SIZE Two. Construct CLASS INTERVALS starting with the lowest score. Three. Determine the frequency in each interval. Height (in cm)Tallyf IIII IIII-II IIII-II IIII-I IIII II2 n=30

Four. Compute for the CLASS MARK of each interval. Five. Calculate the relative and cumulative frequencies. Height (in cm) TallyfClass Mark x rfCf>Cf< IIII IIII-II IIII-II IIII-I IIII II n=30100