Ch1 Introduction to Statistics 1.1 Populations and Samples l population: . (the population is often too large for us to examine each of its members) l sample: . (In order for the sample to be informative about the total population, it must be, in some sense, representative of that population) 1.2 Frequency Tables and Graphs eg. The following data represent the number of days of sick leave taken by each of 50 workers of a given company over the last 6 weeks: 2, 2, 0, 0, 5, 8, 3, 4, 1, 0, 0, 7, 1, 7, 1, 5, 4, 0, 4, 0, 1, 8, 9, 7, 0, 1, 7, 2, 5, 5, 4, 3, 3, 0, 0, 2, 5, 1, 3, 0, 1, 0, 2, 4, 5, 0, 5, 7, 5, 1 l raw data l frequency table: . frequency column represents . eg. A Frequency Table of Sick Leave Data Value 0 1 2 3 4 Frequency 12 8 5 4 5 Value 5 6 7 8 9 Note. the sum of all the frequencies is 50, 1 Frequency 8 0 5 2 1 . Ch1 Introduction to Statistics l line graph: a graph which plots the horizontal axis and indicates the vertical line. on the by the height of a l bar graph: frequencies are represented by l frequency polygon: graph which plots the frequencies of the different data values and then connects the plotted points with straight lines. 2 Ch1 Introduction to Statistics l relative frequency graph: relative frequency is plotted versus , where represents and represents eg. relative frequency polygon l pie chart: If a data value has relative frequency f/n, then its sector can be obtained by setting the angle at which the lines of the sector meet equal to degrees. Exercise1 This frequency distribution shows the number of pounds of each snack food eaten during the Super Bowl. Construct a pie graph for the data. Snack Potato chips Tortilla chips Pretzels Popcorn Snack nuts Pounds (frequency) 11.2 8.2 4.3 3.8 2.5 Total n = 30.0 million million million million million million : 3