Statistics Nat 5 www mathsrevision com Mode Mean

Statistics Nat 5 www. mathsrevision. com Mode, Mean, Median and Range Quartiles Semi-Interquartile Range ( SIQR ) Boxplots – Five Figure Summary Full Standard Deviation Sample Standard Deviation Exam questions 08 -Sep-21 Created by Mr. Lafferty 1

Starter Questions www. mathsrevision. com Nat 5 42 o x 08 -Sep-21 Created by Mr Lafferty Maths Dept o

Statistics Averages www. mathsrevision. com Nat 5 Learning Intention Success Criteria 1. We are revising the terms mean, median, mode and range. 08 -Sep-21 1. Understand the terms mean, range, median and mode. 2. To be able to calculate mean, range, mode and median. Created by Mr Lafferty Maths Dept

Statistics Finding the mode www. mathsrevision. com Nat 5 The mode or modal value in a set of data is the data value that appears the most often. For example, the number of goals scored by the local football team in the last ten games is: 2, 1, 2, 0, 2, 3, 1, 2, 1. Is it possible to have more than one modal value? Yes What is the modal score? 2. Is 08 -Sep-21 it possible to have. Created no bymodal value? Yes Mr Lafferty Maths Dept

Statistics The mean Nat 5 www. mathsrevision. com The mean is the most commonly used average. To calculate the mean of a set of values we add together the values and divide by the total number of values. Mean = Sum of values Number of values For example, the mean of 3, 6, 7, 9 and 9 is 08 -Sep-21 Created by Mr Lafferty Maths Dept

Statistics Finding the median www. mathsrevision. com Nat 5 The median is the middle value of a set of numbers arranged in order. For example, Find the median of 10, 7, 9, 12, 7, 8, 6, Write the values in order: 6, 7, 8, The median is the middle value. 08 -Sep-21 Created by Mr Lafferty Maths Dept 9, 10, 12.

Statistics Finding the median www. mathsrevision. com Nat 5 When there is an even number of values, there will be two values in the middle. For example, Find the median of 56, 42, 47, 51, 65 and 43. The values in order are: 42, 43, 47, 51, 56, There are two middle values, 47 and 51. 47 + 51 98 = = 49 2 2 08 -Sep-21 Created by Mr Lafferty Maths Dept 65.

Statistics Finding the range www. mathsrevision. com Nat 5 The range of a set of data is a measure of how the data is spread across the distribution. To find the range we subtract the lowest value in the set from the highest value. Range = Highest value – Lowest value When the range is small; the values are similar in size. When the range is large; the values vary widely in size. 08 -Sep-21 Created by Mr Lafferty Maths Dept

Statistics The range Nat 5 www. mathsrevision. com Here are the high jump scores for two girls in metres. Joanna Kirsty 1. 62 1. 59 1. 41 1. 45 1. 35 1. 41 1. 20 1. 30 1. 15 1. 30 Find the range for each girl’s results and use this to find out who is consistently better. Kirsty is consistently better ! 08 -Sep-21 Joanna’s range = 1. 62 – 1. 15 = 0. 47 Kirsty’s range = 1. 59 – 1. 30 = 0. 29 Created by Mr Lafferty Maths Dept

Frequency Tables Working Out the Mean www. mathsrevision. com Nat 5 Example : This table shows the number of light bulbs used in people’s living rooms No of Bulbs (c ) Freq. (f) 1 7 7 x 1=7 2 5 5 x 2 = 10 3 5 5 x 3 = 15 4 2 2 x 4=8 5 1 1 x 5=5 Totals 20 Adding a third column to this table will help us find the total number of bulbs and the ‘Mean’. 08 -Sep-21 Created by Mr. Lafferty Maths Dept. (f) x (B) 45

Statistics Averages www. mathsrevision. com Nat 5 Now try N 5 TJ Ex 11. 1 Ch 11 (page 104) 08 -Sep-21 Created by Mr Lafferty Maths Dept

Lesson Starter www. mathsrevision. com Nat 5 Q 1. Q 2. Calculate sin 90 o Q 3. Factorise 5 y 2 – 10 y Q 4. A circle is divided into 10 equal pieces. Find the arc length of one piece of the circle if the radius is 5 cm. 08 -Sep-21 Created by Mr. Lafferty 12

Quartiles www. mathsrevision. com Nat 5 Learning Intention 1. We are learning about Quartiles. Success Criteria 1. Understand the term Quartile. 2. Be able to calculate the Quartiles for a set of data. 08 -Sep-21 Created by Mr. Lafferty Maths Dept.

Statistics Quartiles www. mathsrevision. com Nat 5 Quartiles : Splits a dataset into 4 equal lengths. Median 25% 08 -Sep-21 25% 50% 75% Q 1 Q 2 Q 3 25% Created by Mr Lafferty Maths Dept 25%

Statistics Quartiles www. mathsrevision. com Nat 5 Note : Dividing the number of values in the dataset by 4 and looking at the remainder helps to identify quartiles. R 1 means to can simply pick out Q 2 (Median) R 2 means to can simply pick out Q 1 and Q 3 R 3 means to can simply pick out Q 1 , Q 2 and Q 3 R 0 means you need calculate them all 08 -Sep-21 Created by Mr Lafferty Maths Dept

www. mathsrevision. com Nat 5 Semi-interquartile Range (SIQR) = ( Q 3 – Q 1 ) ÷ 2 = ( 9– 3) ÷ 2 =3 Statistics Quartiles Example 1 : For a list of 9 numbers find the SIQR R 1 3, 3, 7, 8, 10, 9, 1, 5, 9 9 ÷ 4 = 2 1 3 2 numbers 3 5 7 2 numbers 1 No. Q 2 Q 1 8 9 08 -Sep-21 the 2 nd and 3 rd numbers 3 7 the 5 th number the 7 th and 8 th number. 9 Created by Mr Lafferty Maths Dept 10 2 numbers The quartiles are Q 1 : Q 2 : Q 3 : 9 Q 3

Statistics Semi-interquartile Range Quartiles (SIQR) = ( Q 3 – Q 1 ) ÷ 2 = ( 10 – 3 ) ÷ 2 = 3. 5 www. mathsrevision. com Nat 5 Example 3 : For the ordered list find the SIQR. R 3 3, 6, 2, 10, 12, 3, 4 7 ÷ 4 = 1 2 3 1 number 4 1 number Q 1 08 -Sep-21 3 6 10 1 number Q 2 The quartiles are Q 1 : the 2 nd number 3 Q 2 : the 4 th number 4 Q 3 : the 6 th number. 10 Created by Mr Lafferty Maths Dept 12 1 number Q 3

Statistics Averages www. mathsrevision. com Nat 5 Now try N 5 TJ Ex 11. 2 Ch 11 (page 106) 08 -Sep-21 Created by Mr Lafferty Maths Dept

Lesson Starter www. mathsrevision. com Nat 5 In pairs you have 3 minutes to explain the various steps of factorising. 08 -Sep-21 Created by Mr. Lafferty 19

Semi-Interquartile Range www. mathsrevision. com Nat 5 Learning Intention 1. We are learning about Semi-Interquartile Range. Success Criteria 1. Understand the term Semi. Interquartile Range. 2. Be able to calculate the SIQR. 08 -Sep-21 Created by Mr. Lafferty Maths Dept.

Inter-Quartile Range www. mathsrevision. com Nat 5 The range is not a good measure of spread because one extreme, (very high or very low value can have a big effect). Another measure of spread is called the Semi - Interquartile Range and is generally a better measure of spread because it is not affected by extreme values.

Finding the Semi-Interquartile range. Example 1: Find the median and quartiles for the data below. 6, 3, 9, 8, 4, 10, 8, 4, 15, 8, 10 Order the data Q 2 Q 1 3, 4, 6, Lower Quartile = 4 8, Median = 8 Q 3 8, 9, 10, Upper Quartile = 10 Inter- Quartile Range = (10 - 4)/2 = 3 15,

Finding the Semi-Interquartile range. Example 2: Find the median and quartiles for the data below. 12, 6, 4, 9, 8, 5, 9, 8, 10 10, 12 Order the data Q 2 Q 1 4, 5, 6, Lower Quartile = 5½ 8, Q 3 8, Median = 8 9, 9, Upper Quartile = 9 Inter- Quartile Range = (9 - 5½) = 1¾

Statistics www. mathsrevision. com Nat 5 Now try N 5 TJ Ex 11. 3 Ch 11 (page 108) 08 -Sep-21 Created by Mr Lafferty Maths Dept

Lesson Starter www. mathsrevision. com Nat 5 In pairs you have 3 minutes to come up with questions on Straight Line Theory ( Remember you needed to know the answers to the questions ) 08 -Sep-21 Created by Mr. Lafferty 25

Boxplots ( 5 figure Summary) www. mathsrevision. com Nat 5 Learning Intention 1. We are learning about Boxplots and five figure summary. 08 -Sep-21 Success Criteria 1. Calculate five figure summary. 2. Be able to construct a boxplot. Created by Mr. Lafferty Maths Dept.

Box and Whisker Diagrams. Box plots are useful for comparing two or more sets of data like that shown below for heights of boys and girls in a class. Anatomy of a Box and Whisker Diagram. Lower Lowest Quartile Value Whisker 4 5 Median Upper Quartile Whisker Box 6 7 Highest Value 8 9 10 11 12 Boys 130 140 150 160 170 180 cm Girls Demo 190

Drawing a Box Plot. Example 1: Draw a Box plot for the data below Q 2 Q 1 4, 5, 6, 8, Lower Quartile = 5½ 4 5 Q 3 8, Median = 8 6 7 8 9 9, 9, 10, 12 Upper Quartile = 9 10 11 12 Demo

Drawing a Box Plot. Example 2: Draw a Box plot for the data below Q 2 Q 1 3, 4, 6, 8, Lower Quartile = 4 3 4 5 6 Q 3 8, Median = 8 7 8 9 9, 10, 15, Upper Quartile = 10 10 11 12 13 14 15 Demo

Drawing a Box Plot. Question: Stuart recorded the heights in cm of boys in his class as shown below. Draw a box plot for this data. Q 2 QL Qu 137, 148, 155, 158, 165, 166, 171, 173, 175, 180, 184, 186 Lower Quartile = 158 130 140 Upper Quartile = 180 Median = 171 150 160 170 180 cm Demo 190

Drawing a Box Plot. Question: Gemma recorded the heights in cm of girls in the same class and constructed a box plot from the data. The box plots for both boys and girls are shown below. Use the box plots to choose some correct statements comparing heights of boys and girls in the class. Justify your answers. Boys 130 140 150 160 170 Girls 1. The girls are taller on average. 180 cm 190 Demo 2. The boys are taller on average. 3. The girls height is more consistent. 5. The smallest person is a girl 4. The boys height is more consistent. 6. The tallest person is a boy

Statistics www. mathsrevision. com Nat 5 Now try N 5 TJ Ex 11. 4 Ch 11 (page 109) 08 -Sep-21 Created by Mr Lafferty Maths Dept Demo

Starter Questions www. mathsrevision. com Nat 5 08 -Sep-21 Created by Mr. Lafferty Maths Dept.

Standard Deviation For a FULL set of Data www. mathsrevision. com Nat 5 Learning Intention 1. We are learning the term Standard Deviation for a collection of data. 08 -Sep-21 Success Criteria 1. Know the term Standard Deviation. 2. Calculate the Standard Deviation for a collection of data. Created by Mr. Lafferty Maths Dept.

Standard Deviation For a FULL set of Data www. mathsrevision. com Nat 5 The range measures spread. Unfortunately any big change in either the largest value or smallest score will mean a big change in the range, even though only one number may have changed. The semi-interquartile range is less sensitive to a single number changing but again it is only really based on two of the score. 08 -Sep-21 Created by Mr. Lafferty Maths Dept.

Standard Deviation For a FULL set of Data Nat 5 www. mathsrevision. com A measure of spread which uses all the data is the Standard Deviation The deviation of a score is how much the score differs from the mean. 08 -Sep-21 Created by Mr. Lafferty Maths Dept.

www. mathsrevision. com Nat 5 Step 25: : Score - Mean Deviation Step 1 : Find. Standard the mean Step 4 : Mean square deviation For a Take FULL set of Data the square root of step 4 375 ÷ 5 = 75 2 Step 3 : (Deviation)68 ÷ 5 = 13. 6 √ 13. 6 deviation = 3. 7 Example 1 : Find the standard of these five scores 70, 72, 75, 78, 80. Standard Deviation is 3. 7 (to 1 d. p. ) Score Deviation (Deviation)2 70 -5 25 72 -3 9 75 0 0 3 9 78 5 25 80 0 68 Totals 375 08 -Sep-21 Created by Mr. Lafferty Maths Dept.

5 Deviation : square deviation Step 1 : Find. Standard the mean Step 4 Step : Mean Step 2 : Score - Mean www. mathsrevision. com Nat 5 For a FULL set of Data 2 Take the square root of step 4 Step 180 3 : ÷(Deviation) 6 = 30 962 ÷ 6 = 160. 33 = 12. 7 (to 1 d. p. ) Example 2 √ 160. 33 : Find the standard deviation of these six amounts of money £ 12, £ 18, £ 27, £ 36, £ 37, £ 50. Standard Deviation is £ 12. 70 Score Deviation (Deviation)2 12 -18 324 18 -12 144 27 -3 9 6 36 36 7 49 37 20 400 50 962 08 -Sep-21 Created by Mr. Lafferty Maths Dept. 0 Totals 180

Standard Deviation For a FULL set of Data www. mathsrevision. com Nat 5 When Standard Deviation is LOW it means the data values are close to the MEAN. When Standard Deviation is HIGH it means the data values are spread out from the MEAN. Mean 08 -Sep-21 Mean Created by Mr. Lafferty Maths Dept.

Standard Deviation For a FULL set of Data www. mathsrevision. com Nat 5 Now try N 5 TJ Ex 11. 5 Q 1 & Q 2 Ch 11 (page 111) 08 -Sep-21 Created by Mr. Lafferty Maths Dept.

Starter Questions www. mathsrevision. com Nat 5 In pairs you have 6 mins to write down everything you know about the circle theory. Come up with a circle type of question you could be asked at National 5 Level. 08 -Sep-21 Created by Mr. Lafferty Maths Dept.

Standard Deviation For a Sample of Data Standard deviation www. mathsrevision. com Nat 5 Learning Intention 1. We are learning how to calculate the Sample Standard deviation for a sample of data. 08 -Sep-21 Success Criteria 1. Know the term Sample Standard Deviation. 2. Calculate the Sample Standard Deviation for a collection of data. Created by Mr. Lafferty Maths Dept.

www. mathsrevision. com Nat 5 Standard Deviation For a Sample of. We Data will use this version because it is easier to use in a sample In real life situations it is normal to work with practice ). ! of data ( survey / questionnaire We can use two formulae to calculate the sample deviation. s = standard deviation x = sample mean 08 -Sep-21 ∑ = The sum of n = number in sample Created by Mr. Lafferty Maths Dept.

www. mathsrevision. com 2: Q 1 a. Calculate the mean : Q 1 a. Step Calculate the Standard Deviation Step 592 1 : ÷ 8 = 74 Step 3 : sample deviation all the values For a Sample. Square of Data find the total Nat 5 Sum all the values Use formula toand calculate sample have deviation Example 1 a : Eight athletes heart rates 70, 72, 73, 74, 75, 76 and 76. Heart rate (x) 08 -Sep-21 x 2 70 4900 72 5184 73 5329 74 5476 75 5625 76 5776 Created by Mr. Lafferty Maths Dept. Totals ∑x = 592 ∑x 2 = 43842

Q 1 b(i) Calculate the mean : Standard Deviation Q 1 b(ii) Calculate the 720 ÷ 8 = 90 sample deviation For a Sample of Data www. mathsrevision. com Nat 5 Example 1 b : Eight office staff train as athletes. Their Pulse rates are 80, 81, 83, 90, 94, 96 and 100 BPM Heart rate (x) 08 -Sep-21 x 2 80 6400 81 6561 83 6889 90 8100 94 8836 96 9216 10000 Created by Mr. Lafferty Maths Dept. Totals ∑x = 720 ∑x 2 = 65218

Standard Q 1 b(iii) Who. Deviation are fitter Q 1 b(iv) What does the athletes or of staff. Forthe adeviation Sample Data tell us. Compare means Staff data is more spread Athletes are fitter out. www. mathsrevision. com Nat 5 Athletes 08 -Sep-21 Staff Created by Mr. Lafferty Maths Dept.

Standard Deviation For a FULL set of Data Have you updated your Learning Log ? www. mathsrevision. com Nat 5 Now try N 5 TJ Ex 11. 5 Q 3 onwards Ch 11 (page 113) Are you on Target ? I can ? 08 -Sep-21 Created by Mr. Lafferty Maths Dept. Are you on Target ? I can ? Mindmap

Calculate the mean and standard deviation

Go on to next slide for part c

Qs b next slide