1. The Mean : A measure of centre The mean (often referred to as the average). Mean = sum of values total number of values

2. Calculate the mean of the following numbers 4678911 The mean = 45 = 6 7.5 1420253032133

3. The mean 1 2 3 3 2 3 4 5 7 8 3 0 1 3 8 4 5 60 Calculator display

4. Choosing between the mean and the median mean = median = mode =

5. Choosing between the mean and the median mean = median = mode =

6. Choosing between the mean and the median mean = median = mode =

7. Choosing between the mean and the median When the data is symmetrical and there are no outliers, either the mean or the median can be used to measure the centre When the data is clearly skewed and/or there are outliers, the median should be used to measure the centre. Exercise 3A Pages 59-60 Questions 1-8

8. The Standard Deviation : A measure of Spread about the Mean To measure the spread of data about the mean, the standard deviation is used. The formula for the standard deviation is Calculate the standard deviation for the following numbers 4678911 Calculator display 2

9. Estimating the Standard Deviation The standard deviation is approximately equal to the range divided by 4. Exercise 3B Pages 63-64 Questions 1 - 7

10. The normal distribution Ball drop

11. The 68%, 95%, 99.7% rule for normal distributions x

15. 2.35% 0.15% 13.5%

16. Example The heights of 200 boys was found to be normally distributed with a mean of 180 cm and a standard deviation of 10 cm. 68% of the heights will lie between 95% of the heights will lie between 99.7% of the heights will lie between

17. Example What percentage of the heights will lie between 180 cm and 190 cm? What percentage of the heights will lie below 200 cm? What percentage of the boys will have a height between 160 cm and 190 cm? How many boys should have a height above 190 cm? Exercise 3C Pages 69-70 Questions 1-5

18. Z scores ( standardised scores) Two students compare their scores for a test for two different subjects. One student scored 73 out of 100 for an English test. The other student scored 65 out of 100 for a Mathematics test. Which student performed better?

19. Z scores ( standardised scores) The plot thickens Unbeknownst to the students the results for the English test were normally distributed with a mean of 80 and a standard deviation of 5. The results for the Mathematics test were normally distributed with a mean of 60 and a standard deviation of 8. Which student now performed better?

20. Z scores Z scores are used to compare values from different distributions. A raw score, x, from a data set will have a z-score of (x – x) s where x is the mean of the data set and s is the standard deviation. The closer the z score is to zero, the closer the raw score is to the mean.

21. Z scores Z 0-3-2123

22. Z scores Englishz = (73 – 80) = - 7 = - 1.2 5 5 Mathsz = (65 – 60) = 5 = 0.625 8 8

23. Questions Exercise 3D Page 72 Questions 1-2

24. Generating a random sample Draw numbers out of a hat A spinner Select every 2 nd or 3 rd person Use technology

25. Using your calculator to generate a simple random sample TI 89 Rand(25) will generate numbers from 1 to 25 Calculator demonstration

26. Displaying and calculating the summary statistics for grouped data using a calculator Handspan (mm) Frequency 200-1 210-6 220-8 230-2 240-1 250-1