2nd Maths blog by Yusuf Osman

I have finally gotten used to HSC General Maths and I have organized myself into the course. I am enjoying classes and would say it is my second most enjoyed subject with physics being first. The class has been going through some practice tests and such which I am doing well in but I would like a bit better. The topic we are currently going through is chapter 4 Interpreting sets of data.

Chapter 4 deals with the use of data displays, measures of location and measures of spread to summarise and interpret one or more sets of data and investigates

▶ using data displays

▶ using measures of central tendency: mean, mode, median

▶ understanding the relative merits of the mean, mode and median

▶ finding measures of dispersion: range, interquartile range, standard deviation

▶ comparing displays and summary statistics for two sets of data

▶ working with grouped and ungrouped data.

In class with have worked on many of the topics within this chapter with all have something to do with mean, mode and median.

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http://www.mathsteacher.com.au/year8/ch17_stat/02_mean/mean.htm

One of the topics is 4B measures of location. Measures of location, sometimes called measures of central tendency, are single numbers used to represent or summarise a set of data. The commonly used measures of central tendency are the mean, the mode and the median. This section revises the calculation of mean, mode and median for ungrouped data and then introduces the calculations for grouped data. In this topic we worked with mean, mode and median to make grouped data frequency tables along with cumulative frequency ogives. Stem and leaf plots were also used.

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The chapter we are currently working on in class is 4E Shape of frequency distributions. It involves how the shape of frequency curves may be described in terms of smoothness, symmetry and number of modes. It speaks about how some graphs can be different to others based on different factors such as the number of modes, graphs with one being called unimodal and with two they are call bimodal. It also speaks about how graphs can be skewed in different ways, negatively or positively where the tail of each determines it.