# There are several ways of sharing information - Statistical information - data.

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Introduction

All around the world, information is being shared. There are several ways of sharing information. It could be through the exchange of words, signs or gestures depending on the type of information being transmitted. Statistical information is commonly shared worldwide. Statistical Information is used in our everyday life and it could range from the number of times Mary Ann catches a cab to school to the sales figures of a mobile phone company from the year 2002-2003.

Before sending such information out, one must collect the relevant data required to present a purpose. This can be done through surveys, questionnaires or research. In order to present the data effectively, it must be organized systematically so it can be easily manipulated. There are several ways of organizing and illustrating the collected data such as through pie charts, bar charts, line graphs, histograms and the list goes on. It helps to familiarize your self with the two types of data, discrete and continuous data.

Discrete Data is information acquired through counting and is written in whole numbers. Examples of discrete data could be the number of passengers a bus had in a day, or the total number of jackets sold at a clothing store. Continuous data is information that is accumulated by measuring.

Middle

2

100 - 200

8

200 - 300

11

300 - 400

22

400 - 500

28

Above 500

29

In Table A it can be observed that there is a gap between the upper limit of the first group which is 5, the lower limit of the second group which is 6 and this is consistent amongst the other groups. This indicates that the data has been measured as whole numbers. Table B on the other hand, shows that the first and last class has defined upper and lower limits. These are known as open-ended classes. It is also useful such as cases like these to know the class boundaries. These are applied when there is a gap between classes, the boundaries must be fixed at exact halfway along the gap. Therefore, the class boundaries for class 1-5 are 0.5-5.5.

Before anything else there are certain rules that needs to be followed in order to create grouped frequency distributions. Firstly, all values must only be contained in one class meaning overlapping classes must not occur. Classes, which have 1-5, 4-10, 9-15 is incorrect because it is only applicable for whole numbers and does not accommodate values with decimal numbers. Secondly, the classes must be in numerical order or size order. It is also advisable to have an average of 8-10 classes in total.

Conclusion

After the given examples, it can be concluded that the frequency table and the cumulative frequency graph are very useful. The frequency table clearly presents how many times an event occurs and the number of items having values in a group. The cumulative frequency column shows the running total of the frequency. From the frequency table, a cumulative frequency curve can be made. This is also known as the ogive. The cumulative curve graphically presents the running total and from this curve we can determine the median, the first and third quartile and determining these are a lot easier graphically than manually or through a mathematical formula. Such kind of statistical information can be very useful in finding out more about the given data, as demonstrated in the Table B examples. Statistical information needs to be precise but it also needs to be understood easily. It is a lot easier to comprehend with the use of graphs and tables and part of seeking and calculating accurate information is accurate communication. Every statistical data has a purpose or use and its important to present its purpose well and so other people who needs the data can comprehend it. With the use of the frequency table and cumulative frequency curve, this can be achieved.

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