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For our next assignment, due this Wednesday 11 August, I want you attempt questions 10 and 11 of the short answer questions of Chapter 4 on p. 203, and question 2, 3, and 4 of the extended response questions on pp.206-207.

=Tuesday 10 August 2010= We will continue with Exercise 4D.

=Friday 6 August 2010= Exercise 4D is concerned with making predictions. Interpolation is making predictions within the bounds of the original data, extrapolation is making predictions beyond the bounds of the original data. Predictions are reliable if they were obtained using interpolation from the scatterplot, indicating reasonably strong correlation and containing a large number of points.

Exercise 4D: 2, 5, 8, 11, 14, 15, 16 =Tuesday 3 August 2010= We will continue with Exercise 4C. Report writing day is this Friday and you need to have finished everything up to and including 4C to be considered "up-to-date." =Friday 30 July 2010= Exercise 4C is all about lines of best fit and reviews work that we did at the end of Chapter 3. In the second half of the exercise we cover the two-mean regression line.

Exercise 4C: 1(e)(f), 3, 5(b)(c), 7, 8, 9, 10(b), 11, 12

=Wednesday 28 July 2010= We will complete Exercise 4B and work through the Chapter Review questions that I have set. =Tuesday 27 July 2010= Chapter 4 continues with the correlation coefficient, which quantifies the dependence of one variable on another.

Exercise 4B: 1, 2, 3, 7, 10, 13 =Monday 26 July 2010= Today we begin Chapter 4, Bivariate Data. This is where we investigate the relationship between two variables - does one variable depend on the other and, if so, how much?

Exercise 4A: 1, 2, 4, 7, 9, 10, 11 =Wednesday 21 July 2010= We will be going through the Extended Response section of the Chapter Review for Chapter 1 during the double period tomorrow. =Friday 16 July 2010= We will be doing the last exercise of Chapter 1, "Comparing sets of data". We will be seeing a pretty cool application of the TI-Nspire that gives us all the answers, but your main task will be interpreting the data, i.e. you will have to think about your answers rather that just depending on formulas!

Exercise 1H: 2, 5, 6, 9, 10, 12, 14 =Wednesday 14 July 2010= In this class, I will be going over the standard deviation work again, and working through how to use the TI-Nspire for calculating means, medians, standard deviations etc. =Tuesday 13 July 2010= Boxplots are another way to represent data: they show lowest score (Xmin), lower quartile (Q1), median (Q2), upper quartile (Q3), greatest score (Xmax).

Exercise 1G: 2, 4, 5, 9, 12, 14 =Monday 12 July 2010= Stem-and-leaf plots come as a bit of a relief after all of that mucking around with ogives and cumulative distribution plots.

Exercise 1F: 2, 4, 6, 11, 12 =Wednesday 23 June 2010= Exercise 1E covers the measure of variability in a set of data. There are four measures: range, interquartile range, standard deviation, and variance. As usual, when you are presented with lots of definitions of new concepts it is important to separate them in you mind and in your summary workbook. Write a summary of the definitions on a separate page that you can easily find when you need it in a SAC or exam.

Exercise 1E: 1(c), 3, 4(d), 5, 6, 8(c), 10, 11, 13, 15, 17, 19, 20 =Monday 21 June 2010= Exercise 1D covers the measure of central tendency in a set of data, the mean, the median, and the mode. I expect that you will already have some notion of what these terms are about.

Exercise 1D: 1(c)(d), 4, 6, 8, 11, 14, 15 =Friday 18 June 2010= Exercise 1C is all about cumulative data and introduces you to the wonders of ogives and percentiles.

Exercise 1C: 1, 3, 5, 7, 9, 11 =Wednesday 16 June 2010= Exercise 1B covers numerical data and introduces you to histograms and polygons, and data distributions.

Exercise 1B: 3, 5, 7, 9, 11, 13

There is a worked example on page 11 on how to use your CAS calculator to plot histograms. See if you can repeat the worked example for yourself and then have a go at creating a histogram on the calculator for one of the questions in Exercise 1B. =Tuesday 15 June 2010= We start second semester with Univariate Data, Chapter 1 of the textbook. Univariate means that we only deal with one variable changing - later we will be working on bivariate data, where two variables change. Univariate data and bivariate data are both a part of the subject known as statistics, which has its own language. You need to be sure that you have a place in your Summary Book for definitions of words. It might be a good idea to start a glossary page at the back of your summary book that you can quickly refer to when you are unsure of definitions.

Exercise 1A: 1, 2, 3, 7, 10, 12, 14