University:
California State University, Northridge
Course:
MATH 140 | Introductory Statistics
Academic year:

2024
Views:

386

Pages:

2
Author:

Lorelai Pope

The following bar graph represents the annual number of records sold in five categories by store # 27 in the Licorice Pizza Records chain . As with most bar graphs the categories ( or classes ) are listed along the horizontal axis and the distribution ( number of records sold in this case ) is represented along the vertical axis. To determine the total number of records sold by this store we add the individual numbers represented by each bar. For example , the jazz bar indicates five million jazz records sold . What percentage of the records sold were Jazz ? To answer this question you will need to set up a ratio involving total number of records sold and the number of jazz records sold as follows: We can look at the same problem from a different point of view . This pie chart represents a different store in the Licorice Pizza Records chain : The pie chart makes it easy to visualize the type of music that is selling best as a percentage of the total sales picture . If the total number of records sold was 50 million, and we want to know how many of the 50 million sold were R & B we could again use a ratio to solve the problem : Solving for x would tell us who many of the 50 million sold were R & B . a) If 150 million records were sold , how many of those sold were Jazz ? b) If the total number of classical records sold was 12 million, what was the total number of records sold ? We often see pie charts on news shows displaying what percentage of the U.S. national budget is spent in categories of defense , education , social security etc... Line graphs make it easy to see areas of greatest increase in statistics such as sales , rainfall , unemployment etc... Consider the sales activity given in the following chart (graph) On this graph it is easy to see that the greatest increase in sales happened between the months of June and July . This kind of information would be valuable to a marketing department trying to decide in what months they should boost advertising .