HSC April Holidays Lecture Standard Mathematics Presented by: KRYSTELLE VELLA Who’s behind the screen today? o I’m Krystelle! o Graduated from Bede Polding College in 2017 Ø 99 in General Maths 2 Ø ATAR 98.85 o In my 3rd year of Occupational Therapy at Western Sydney University (& loving it!) o Wrote Standard Maths Notes & Topic-Tests for new 2019 syllabus for ATAR Notes o Management role at TuteSmart for the Maths team o I love being adventurous and spending time with my nieces and nephews!! By the end of today’s lecture… First Topic: Algebra ü Solving simultaneous equations graphically ü Determining the break-even point ü Modelling non-linear relationships Second Topic: Statistical Analysis ü ü ü ü Scatterplots Correlation coefficient Line of best fit, Least squares line of best fit Normal distribution FINALLY: Year 11 content that you should know There will be Q&A opportunities right throughout the lecture. Stay tuned for more information! www.slido.com Event code: HMS Passcode: ATAR Topic 1: Algebra SOLVING SIMULTANEOUS EQUATIONS BY… Drawing a graph! SOLVING SIMULTANEOUS EQUATIONS USING A GRAPH Example Question: Solve the simultaneous equations ๐๐ − ๐ = ๐ and ๐๐ + ๐๐ = ๐๐ graphically. Solution: To answer this question, we must graph both of these equations as straight lines using the formula ๐ฆ = ๐๐ฅ + ๐. We must rearrange each equation to match this formula. 1. 2๐ฅ − ๐ฆ = 4 2. 6๐ฅ + 2๐ฆ = 12 Who can tell me how to rearrange these formulas? SOLVING SIMULTANEOUS EQUATIONS USING A GRAPH 2๐ฅ − ๐ฆ = 4 −๐๐ −๐๐ −๐ฆ = 4 − 2๐ฅ 6๐ฅ + 2๐ฆ = 12 −๐๐ −๐๐ 2๐ฆ = 12 − 6๐ฅ −๐ฆ = 4 − 2๐ฅ 2๐ฆ = 12 − 6๐ฅ ๐ = ๐๐ − ๐ ๐ = −๐๐ + ๐ ×−๐ ×−๐ ×−๐ ÷๐ ÷๐ ÷๐ SOLVING SIMULTANEOUS EQUATIONS USING A GRAPH I’m going to show you step-by-step working of this question. Do it with me! STEP 1: Set up your page STEP 2: Plot the y-intercept of (1) and use gradient to draw points STEP 3: Rule up line (1) using a ruler! STEP 4: Plot y-intercept of (2), use gradient to draw points and rule line STEP 5: Determine point of intersection ๐ท๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐๐๐๐๐: (๐, ๐) SOLVING SIMULTANEOUS EQUATIONS USING A GRAPH Solution: Now, using this information, we can substitute these numbers into our current formulas to double check they solve each equation. ๐ท๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐๐๐๐๐: (๐, ๐) ๐ท๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐๐๐๐๐: (๐, ๐) 1. ๐๐ − ๐ = ๐ (2 × 2) − 0 = 4 2. ๐๐ + ๐๐ = ๐๐ (6 × 2) + (2 × 0) = 12 We have solved this question! (x is equal to 2, and y is equal to 0) SOLVING SIMULTANEOUS EQUATIONS USING A GRAPH Now its your turn! Example Question: Solve the simultaneous equations ๐ + ๐ = ๐๐ and ๐ = ๐ + ๐๐ graphically. Solution: KEY STEPS 1. Rearrange formulas to fit y = mx + c. 2. Graph them using the gradient and y-intercept. 3. Find the point of intersection. (your solution!) 4. Check your answer. SOLVING SIMULTANEOUS EQUATIONS USING A GRAPH KEY STEPS 1. Rearrange formulas to fit y = mx + c. 1. ๐ฅ + ๐ฆ = 10 ๐ = ๐๐ − ๐ 2. ๐ฆ = 2 + 3๐ฅ ๐ = ๐๐ + ๐ (๐๐ ๐๐๐๐ ๐ก๐ ๐โ๐๐๐๐) SOLVING SIMULTANEOUS EQUATIONS USING A GRAPH KEY STEPS 2. Graph them using the gradient and yintercept. Take about 5 mins to do this. SOLVING SIMULTANEOUS EQUATIONS USING A GRAPH KEY STEPS 3. Find the point of intersection. (your solution!) ๐ท๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐๐๐๐๐: (๐, ๐) SOLVING SIMULTANEOUS EQUATIONS USING A GRAPH KEY STEPS 4. Check your answer! ๐ท๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐๐๐๐๐: (๐, ๐) ๐ท๐๐๐๐ ๐๐ ๐๐๐๐๐๐๐๐๐๐๐๐: (๐, ๐) 1. ๐ฅ + ๐ฆ = 10 2 + 8 = 10 2. ๐ฆ = 2 + 3๐ฅ 8 = 2 + (3×2) QUICK POLL! Event code: HMS Passcode: ATAR LET’S APPLY SIMULTANEOUS EQUATIONS TO… Practical problems WHAT DOES ‘BREAK-EVEN’ MEAN? We refer to the ‘break-even’ point as the point when costs equal income (typically in a financial situation). We can use simultaneous equations to find the break-even point (i.e. the point when the lines intersect!). Above this point, profit will be earned. Below this point, a loss is incurred. LET’S DO AN EXAMPLE TOGETHER Example Question: This example is from the Atar Notes Standard Maths book. Archie organises a fundraiser for Beyond Blue. The fixed cost is $2000, as well as an additional $20 per person who attends. Each person attending pays $60 per ticket. Draw a graph to represent these equations. a) What is the break-even point? What does this mean? b) How much profit is made when 80 people attend the fundraiser? EXAMPLE QUESTION Before attempting to draw our graph, we need to find the straightline equation for both sets of information. Equation 1: (This will be the cost of the fundraiser) • Set-up cost of $2000 (y-intercept) • Additional cost of $20 per person (gradient) ๐ช = ๐๐๐ + ๐๐๐๐ Equation 2: (This will be the income earned by the fundraiser) • Income received per person is $60 (gradient) ๐ = ๐๐๐ LET’S DRAW! I’m going to give you a couple of minutes to draw up your graph. Then, I’ll show you my worked solutions, step by step. STEP 1: Prepare your page STEP 2: Find y-intercept & gradient, and rule up Cost line STEP 3: Find y-intercept & gradient, and rule up Income line Step 4: Find point of intersection NOW, LET’S ANSWER OUR QUESTIONS! a) What is the break-even point? What does this mean? Who can answer this before I put the solution up??? The break-even point occurs when there are 50 people attending. When 50 people attend, the cost is $3000 and the income is $3000. Therefore, if more than 50 people attend, Archie will make a profit. If less than 50 people attend, Archie will make a loss. Let’s check this answer using both equations. CHECKING OUR ANSWER TO PART A) We’ve established on our graph that the break-even point occurs when there are 50 people attending. By substituting 50 as x for each equation, we can determine whether this answer is correct or not. ๐ถ = 20 × 50 + 2000 ๐ช = $๐๐๐๐ ๐ผ = 60 × 50 ๐ฐ = $๐๐๐๐ MOVING ON… b) How much profit is made when 80 people attend the fundraiser? We therefore need to calculate the income when 80 people attend, and minus the costs of 80 people attending. ANSWERING PART B) Income when 80 people attend: ๐ผ = 60๐ฅ ๐ผ = 60 × 80 ๐ฐ = $๐๐๐๐ Cost of 80 people attending: ๐ถ = 20๐ฅ + 2000 ๐ถ = 20 × 80 + 2000 ๐ช = $๐๐๐๐ ANSWERING PART B) Calculate the profit: ๐ท๐๐๐๐๐ = ๐ฐ๐๐๐๐๐ − ๐ช๐๐๐๐ ๐๐๐๐๐๐ก = $4800 − $3600 = $1200 Archie raises $1200 when 80 people attend the fundraiser. SOLVING BREAK-EVEN QUESTIONS Should we do another one? EXAMPLE QUESTION Example Question A footwear company produces items whose costs are $300 plus $18 for every pair of shoes produced. The company sells the shoes for $110 each pair. a) Write an equation to describe the relationship between the: i) costs (C) and number of items (x) ii) income (I) and number of items (x) b) Draw a graph to represent the costs and income for producing the shoes. c) How many pairs of shoes need to be sold for the company to break-even? LET’S SOLVE THIS!! Solutions A footwear company produces items whose costs are $300 plus $18 for every pair of shoes produced. The company sells the shoes for $110 each pair. a) Write an equation to describe the relationship between the: i) costs (C) and number of items (x) ๐ช = ๐๐๐ + ๐๐๐ ii) income (I) and number of items (x) ๐ = ๐๐๐๐ b) Draw a graph to represent the costs and income for producing the shoes. SOLUTIONS FINALISED c) How many pairs of shoes need to be sold for the company to break-even? According to our graph, the break-even point is approximately 3.25 pairs of shoes. In this example, we need to round this answer UP to 4 pairs of shoes, as a company obviously cannot sell ¼ of a pair. = ๐ ๐๐๐๐๐ ๐๐ ๐๐๐๐๐ THE LAST PART OF OUR ALGEBRA LEARNING… Exponential functions Modelling non-linear relationships Quadratic functions Cubic functions EXPONENTIAL FUNCTIONS An exponential function is a non-linear curve whose equation has an x as the power i.e. 2x. The general rule for this function is: ๐=๐ ๐ Exponential functions are often used to solve growth or decay problems. EXPONENTIAL FUNCTIONS Example Question: The growth of a certain bacteria is estimated according to the formula ๐ = 10(2.1)! , where b is the number of bacteria after t hours. a) Construct a table of values to represent the growth of bacteria up to 12 hours b) Draw a graph to represent this information. First, we’ll go through questions a) and b). Then we’ll learn to interpret our graph and infer its meaning. Solution: To construct a table of values, we must recognise the x (independent) and y (dependent) values in the equation. In this question, we are trying to find the growth of bacteria, and this is reliant upon the number of hours. Therefore, bacteria (b) is the dependent variable and time in hours (t) is the independent variable. EXPONENTIAL FUNCTIONS Solution a). Remember that the formula representing this information is ๐ = 10(2.1)! . In my table of values, I’m going to use intervals of 2 hours. You can do the same, or find the growth every hour. For example, to find the growth of bacteria after 2 hours, simply substitute the t for 2 in the above formula: ๐ = 10(2.1)" = 44.1 t b 0 2 4 6 8 10 12 10 44 194 858 3 782 16 680 73 558 Note: I have rounded to the nearest whole number. Now we can plot these values on a graph to answer part b). MODELLING EXPONENTIAL FUNCTIONS So, I’ve already completed this example on an online tool chart. It would be quite difficult to accurately plot these points onto a graph, but feel free to insert the data into an online graph maker to help understand the shape of an exponential graph. This graph was created using https://www.onlinecharttool.com/graph UNDERSTANDING OUR GRAPH Example Question: The growth of a certain bacteria is estimated according to the formula ๐ = 10(2.1)! , where b is the number of bacteria after t hours. Further questions c) What was the initial number of bacteria? d) What is the number of bacteria after 9 hours, correct to the nearest whole number? e) Estimate the time taken for the bacteria growth to reach 35 000. Solutions c) The initial number of bacteria is the value of b when t equals 0 (hours). Therefore, the initial number of bacteria is 10. d) To calculate the number of bacteria after 9 hours, insert 9 as the t value in the equation. ๐ = 10(2.1)# ๐ = 10(2.1)# = 7943 UNDERSTANDING OUR GRAPH e) Estimate the time taken for the number of bacteria to reach 35 000. Almost exactly 11 hours! MOVING ON TO… QUADRATIC FUNCTIONS A quadratic function is a non-linear curve whose equation has an x as an x squared (x2). The general rule for this function is: ๐ = ๐๐๐ + ๐ where a and c are numbers. QUADRATIC FUNCTIONS To distinguish a quadratic function from the other non-linear relationships, we recognise the shape of the graph as a parabola. A parabola always has a turning point and an axis of symmetry. These key aspects allow you to recognise a quadratic equation – therefore helping you remember it more clearly! Key point to remember: § A parabola that is a smiley face J has a positive gradient § A parabola with a sad face L has a negative gradient QUADRATIC FUNCTIONS Example Question: Complete the following table of values and graph the quadratic function. ๐ = ๐๐ − ๐๐ x -1 0 1 2 3 4 5 y 5 0 -3 -4 -3 0 5 What is the turning point of this graph? LET’S DRAW: QUADRATIC FUNCTIONS LUCKY LAST… CUBIC FUNCTIONS A cubic function is a non-linear curve whose equation has an x as an x cubed i.e. x3. The general rule for this function is: ๐ ๐ = ๐๐ + ๐ EXPONENTIAL CUBIC FUNCTIONS FUNCTIONS Example Question: An ant population is predicted using the formula ๐ = 100๐ก $ , where N is the number of ants and t is the time in days. a) Draw the graph of ๐ = 100๐ก $ using a table of values. b) How many ants were present after one week? Use the graph drawn to estimate. Solution: a) We construct a table of values like we did previously. The independent value (x) is the time in days (t), and the dependent value (y) is the number of ants. E.g. To find the number of ants after 2 days: 100 × (2)$ = ๐๐๐ ๐๐๐๐ t N 0 0 2 800 4 6 400 6 21 600 8 51 200 10 100 000 CUBIC FUNCTIONS Solution: a) We now need to use this information to construct a graph. t N 0 0 2 800 4 6 400 6 21 600 8 51 200 10 100 000 CUBIC FUNCTIONS Solution: b) Using our graph, we can answer question b). To estimate the number of ants after one week (7 days), we need to determine where the non-linear curve passes 7 days, and match this to the number on the y axis. Answer should be approximately 35 000 ants. We can test this value using the equation. 100 × (7)! = ๐๐ ๐๐๐ ๐๐๐๐ NOTE! The graph we just drew looks quite similar to our exponential graph. A key characteristic to highlight is that cubic functions can pass through the point (0,0), whereas exponential functions do not. QUICK TEST!!!! Which graph best represents the equation −2๐ฅ ! + 3? (A) (B) It’s Q&A time!!! Ask me any specific questions you have about the topic we just completed. I’ll allow approximately 3 questions per topic, so we don’t run out of time J www.slido.com Event code: HMS Passcode: ATAR BREAK HERE Topic 2: Statistical Analysis OVERVIEW Bivariate Data Analysis o o o o Scatterplots Correlation coefficient Line of best fit Least-squares line of best fit Normal Distribution o Properties of a normal distribution o Calculating z-scores o Interpreting z-scores LOTS OF CONTENT TO GET THROUGH!!! 64 SCATTERPLOTS Scatterplots are used to determine the relationship between two numerical variables. • When completing bivariate data analysis, data is collected for each variable and displayed in a table of ordered pairs. • For example, we could test students’ height and weight to determine if a relationship was present. • From this information displayed in a scatterplot, we are able to determine if there are dependent or independent variables, the strength of the relationship and other key features. SCATTERPLOTS When constructing scatterplots, each ordered pair is a dot on the graph. SCATTERPLOTS To describe patterns we see, we use the terminology: • • • • Positive linear Negative linear Non-linear pattern No correlation To determine a linear relationship, the dots should approximate a straight line. To determine a non-linear relationship, the dots should approximate a curve. PATTERNS OF SCATTERPLOTS positive linear pattern negative linear pattern PATTERNS OF SCATTERPLOTS no correlation non-linear pattern STRENGTH OF CORRELATION We can also describe the strength of the correlation as: • Strong • Moderate • Weak strong correlation moderate correlation weak correlation LET’S DO SOME QUESTIONS Example Question: What is the strength of the linear relationship displayed below? A. B. C. D. no linear relationship strong positive correlation strong negative correlation weak positive correlation Answer: B LET’S DO SOME QUESTIONS Example Question: The table below compares a father’s height and his daughter’s height in centimetres, measured over 10 years. Father’s height (cm) Daughter’s height (cm) 157 160 162 165 169 170 171 174 174 174 95 103 108 116 122 130 135 141 146 152 i) Draw a scatterplot to represent this data. ii) Describe the correlation between these two variables. LET’S DO SOME QUESTIONS Solutions: a) b) I would say this relationship is a strong positive correlation, meaning that as the father’s height increases, so does the daughter’s height. This however becomes stagnant as the father reaches his maximum height. THERE’S A BETTER WAY TO DESCRIBE THE STRENGTH OF CORRELATION… WHAT IS THE CORRELATION COEFFICIENT? To quantify the strength of a linear association (i.e. determine a number which represents the strength of the relationship between two variables), we use Pearson’s correlation coefficient, denoted by the pronumeral r. The correlation coefficient can have a value between -1 and 1 (these values being perfect negative or perfect positive). To correctly quantify the strength, use the following table as a guide: Strong Moderate Weak No correlation Coefficient (r) Positive Negative 0.8 %& 1 −0.8 %& − 1 0.5 %& 0.8 −0.5 %& − 0.8 0.3 %& 0.5 −0.3 %& − 0.5 0 %& 0.3 0 %& − 0.3 CORRELATION COEFFICIENT KEY POINT: You are only expected to determine the correlation coefficient using your calculator! Again, this is a very advanced formula students are not expected to know to calculate by hand. We must also note the meaning of the relationships we determine: § positive correlation (0 to +1) – both variables increase or decrease at the same time § zero (no correlation) (0) – no relationship between the variables § negative correlation (-1 to 0) – one variable increases while the other variable decreases. CALCULATING THE CORRELATION COEFFICIENT To calculate the correlation coefficient given a data set: CALCULATOR STEPS: 2: STAT ð MODE ð 2: A + Bx Screenshot this to help you with the next question ๐๐๐ก๐๐ ๐๐๐ก๐ ๐๐ ๐ ๐๐๐ ๐ ๐๐๐๐ข๐๐๐ AC ð SHIFT 3: r ð = ð 1 ð 5: reg LET’S DO MORE QUESTIONS Example Question: A teacher measured her students’ heart rate in an examination and their height in cm, and presented the information in a table. Heart rate (r) Height (h) 61 63 63 67 69 71 154 172 151 163 180 165 72 75 78 168 170 158 Calculate the value of the correlation coefficient, correct to four decimal places. Solution: 0.2556 (weak positive correlation) NOW LET’S LEARN ABOUT… WHAT IS THE LINE OF BEST FIT? After drawing a scatterplot using the value of ordered pairs, we may be able to draw a line of best fit. If the points have a linear correlation, we can approximate a straightline graph that relates the two variables. This process can be termed linear regression. NOTE! As with a normal straight-line graph, the aim of linear regression is to model the gradient-intercept formula ๐ = ๐๐ + ๐. HOW DO WE DRAW THE LINE OF BEST FIT? Before we can draw a line of best fit, we need a set of data to plot onto a scatterplot. We use these points to ‘guestimate’ a line that passes through the most points – hence being the ‘line of best fit’. Example Question: Using the points below, draw a scatterplot and line of best fit. (0, 6) (2, 24) (3, 39) (4, 44) (5, 59) (6, 64) (7, 79) (8, 84) Solutions: First, let’s plot our points! SOLUTIONS – EXAMPLE QUESTION SOLUTIONS CONT. As we can see, the points do not exactly line up. Therefore, we will draw a line of best fit. NOTE! Students often find it difficult to determine exactly where the line should be placed. It is important to remember: ü the line should pass through as many points as possible. ü if the line does not pass through a point, it must have an even amount of points on each side. This ensures it evenly crosses the data, and assumes its role as line of best fit. In our example, the line of best fit does not pass through many points. However, there are approximately 4 points on either side of the line. Therefore, this is the line of best fit. SOLUTIONS CONT. REMEMBER to always use a ruler to accurately draw your line of best fit. NEXT WE NEED TO LEARN ABOUT: WHAT IS THE LEAST-SQUARES LINE OF BEST FIT? Unlike the line of best fit, the least-squares line of best fit is a formula which represents the straight-line equation formed when trying to find the ‘line of best fit’. To find the least-squares line of best fit, we use the formula: ๐ = ๐๐ + ๐ where: § ๐ − ๐๐๐๐๐๐๐๐ก § ๐ − ๐ฆ − ๐๐๐ก๐๐๐๐๐๐ก HOW DO WE FIND THE LEASTSQUARES LINE OF BEST FIT? This syllabus only requires us to find the least-squares line of best fit using our calculators (yay for us!!). In order to find the least-squares line, we must use the given data set (in the question), and a particular Statistics mode to calculate the gradient and y-intercept. LEAST-SQUARES EXAMPLE Example Question: Find the equation of the least-squares line of best fit for the data set provided, correct to two decimal places where necessary. Height (h) cm Foot length (l) cm 150 152 155 160 165 167 169 25 23 28 26 30 29 27 First, we need to insert the data as x and y values. (Note that height forms the x values, and foot length form the y values) CALCULATOR STEPS: MODE ð 2: STAT ð 2: A + BX ๐๐๐ก๐๐ ๐๐๐ก๐ ๐๐ ๐ ๐๐๐ ๐ ๐๐๐๐ข๐๐๐ Be sure to accurately insert values into table! EXAMPLE CONT. Now that our data is in the table, we need to continue our calculator steps: CALCULATOR STEPS continued: AC ð SHIFT ð 1 ð 5: reg Once we’ve reached this step, we need to take careful note of the values we select. There are different letters which represent the gradient and y-intercept. The gradient is represented by the letter B. 2: B The y-intercept is represented by the letter A. 1: A Solutions: B = gradient = 0.22 A = y-intercept = -8.35 ð ð = = FINISHED EXAMPLE Therefore, our least-squares line of best fit for this data is equal to: ๐ = ๐๐ + ๐ ๐๐๐๐ ๐๐๐๐๐๐ = ๐. ๐๐๐ − ๐. ๐๐ NOTE! You must also change the x and y pronumerals into their actual measurements. (In this case, y refers to foot length and x refers to height). We can now use the equation found to answer subsequent questions. For example: What is the expected foot length of a student given their height is 180cm? Answer correct to two decimal places. ๐๐๐๐ก ๐๐๐๐๐กโ = 0.22(180) − 8.35 ๐๐๐๐ ๐๐๐๐๐๐ = ๐๐. ๐๐๐๐ฆ NEXT TOPIC! WHAT IS THE NORMAL DISTRIBUTION? • In a normal distribution, the distribution of data is symmetrical about the mean. • The mean and median are approximately equal. • A bell-shaped curve represents a normal distribution. PROPERTIES OF A NORMAL DISTRIBUTION The graph below is a representation of a normal distribution. When observing this curve, we must note: § approximately 68% of data will have z-scores between -1 and 1 § approximately 95% of data will have z-scores between -2 and 2 § and approximately 99.7% of data will have z-scores between -3 and 3 This is known as the empirical rule. 34% 34% 13.5% 13.5% 2.35% 2.35% 0.15% 0.15% z-scores THE EMPIRICAL RULE The empirical rule aims to help students remember the percentages! That is why this rule is also known as the: ๐๐ − ๐๐ − ๐๐. ๐ ๐๐ข๐๐ NOTE: if you do not remember the empirical rule, you can always remember the percentages of the bell-curve on one side. As the curve is symmetrical, remembering the values of 34%, 13.5%, 2.35% and 0.15% can also help you apply this concept to z-score questions. Either way, it is vital that you have memorised at least one way of doing these questions, as examiners will not provide the percentages for you. BUT WHAT IS A Z-SCORE?? The z-score (standardised score) is used as a tool of comparison in a normal distribution. It is the number of standard deviations the score is from the mean. To calculate the z-score: ] ๐− ๐ ๐= ๐ where: § z is the z-score or standardised score § x is the score § ๐ฅฬ is the mean of a set of scores § ๐ is the standard deviation LET’S TEST YOUR UNDERSTANDING! Event code: HMS Passcode: ATAR KEY POINTS TO REMEMBER! A z-score of 0 indicates the score is equal to the mean A z-score of 1 is one standard deviation above the mean A z-score of -1 is one standard deviation below the mean KEY POINTS TO REMEMBER! The LARGER the z-score, the FURTHER it is from the mean of the data (the centre). This applies to both negative and positive numbers – i.e. -4 is further away from the centre than -3. LET’S DO A Z-SCORE QUESTION Example Question 1. After sitting an examination, a university student is told they have a z-score of 0. The marks in the test were normally distributed with a mean of 65.5 and a standard deviation of 4.8. What mark did the student achieve? Answer: 65.5 Example Question 2. Willow is in Year 11 and has completed 3 out of 4 English assessment tasks. A summary of her results are shown below: Willow’s mark Mean Standard deviation Task 1 (out of 20) Task 2 (out of 30) Task 3 (out of 25) 15 24 19 14 X 23 3 4 2 What is Willow’s z-score in Task 3? ๐ง= ๐ฅ − ๐ฅฬ ๐ ๐ง= 19 − 23 2 ๐ = −๐ FINALLY, LET’S LEARN TO… We can use z-scores to compare scores in a normally distributed data set. We do this by obtaining the z-scores of two values, and compare their meaning against the set of data. Example Question 1. The HSC marks for Standard Mathematics are normally distributed with a mean of 67 and a standard deviation of 7. Zac’s mark in this course was 94. Barbara’s z-score was 3. Barbara claims that she achieved a higher mark than Zac. Is Barbara’s claim correct? Use mathematical calculations to justify your answer. (2 marks) ANSWERING OUR EXAMPLE QUESTION Solution: We already know that Barbara achieved a z-score of 3. Now, we must calculate Zac’s zscore, using his score of 94: ๐ง= 94 − 67 7 ๐ = ๐. ๐๐๐ … Therefore, Zac’s z-score is higher than Barbara’s, meaning that he achieved a score further above the mean than Barbara. Therefore, Barbara’s claim is incorrect. Alternatively, you could complete this question by actually finding Barbara’s score instead of Zac’s z-score. Remembering that she obtained a z-score of 3: 3= 3= ๐ฅ − 67 × 7 ๐ฅ − 67 7 21 = ๐ฅ − 67 +67 +67 88 = ๐ฅ ๐ฉ๐๐๐๐๐๐! ๐ ๐๐๐๐๐ = ๐๐ Barbara achieved a score of 88, which is lower than Zac’s score of 94. Therefore, her claim is incorrect. It’s Q&A time!!! Ask me any specific questions you have about the topic we just completed. I’ll allow approximately 3 questions per topic, so we don’t run out of time J www.slido.com Event code: HMS Passcode: ATAR BREAK HERE KRYSTELLEHSC Topic 3: Year 11 Content to revise! YEAR 11 KNOWLEDGE IS ASSESSABLE! Maybe you didn't realise Year 11 content could be examined in the HSC – but it definitely can be, and it WILL BE! Let’s recap Measurement Year 11 content. LET’S BRAINSTORM! Event code: HMS Passcode: ATAR In Year 11, you would have learned how to: ü convert between metric units (length, capacity, area etc) ü calculate errors in measurement ü use significant figures and scientific notation ü calculate perimeter, area & volume ü use Pythagoras’ theorem & similar figures ü use Trapezoidal rule ü work with time (latitude, longitude) CONVERSIONS How to convert between metric units: CONVERSIONS CONVERSIONS CONVERTING MEASUREMENTS Question 1: Convert 1096cm to m: 10.96m Question 2: Convert 55m2 to cm2: 550 000cm2 Question 3: Convert 250KL to L: 250 000L ERRORS IN MEASUREMENT Remember that: LIMIT OF READING = smallest unit on measuring instrument ABSOLUTE ERROR = measured value – actual value (or ½ x limit of reading) RELATIVE ERROR = ± MNOPQRST TUUPU VTMORUTVTWS PERCENTAGE ERROR = ± MNOPQRST TUUPU VTMORUTVTWS × 100% QUESTION Question 8 – 2019 HSC Exam: SIGNIFICANT FIGURES Significant figures are the digits that contribute to the meaning and accuracy of a number. For example: – 37.30 has three significant figures: 3, 7, and 3. – 0.00032 has two significant figures: 3 and 2. (The zeros must remain there as they are placeholders – indicating the size of the number) SIGNIFICANT FIGURES Example Question 1: Round 234 789 to two significant figures. Solution: ๐๐4 789 When rounding to two significant figures in this number, we only need the first two digits to be significant. We can therefore round the following digits to zeros, which act as placeholders to indicate the size of the number. ๐๐0 000 Example Question 2: Round 0.006989 to one significant figure. Solution: Again, we must remember the value of the zeros in this number. To round to one significant figure, we can only look at the ‘6’ and beyond, as these contribute to the accuracy of the number. 0.00๐989 In this example, the 6 is the first significant figure, with 9 being the deciding figure. As 9 is larger than 5 (the halfway point), we must round the 6 up to 7, therefore correctly rounding to 1 significant figure. 0.00๐ SCIENTIFIC NOTATION We use scientific notation to write very large or very small numbers in a more convenient and understandable way. It involves us determining how many times a number has been multiplied by 10, and expressing this as its power. To express a number in scientific notation: 7 400 000 000 1. Put a decimal point in between the first two numbers – i.e. 7.4. These numbers contribute to the meaning and accuracy of the large number. 2. Next, count the number of times the value has been multiplied by 10 – this will become the power of ten. We can do this by counting the placeholders from the decimal point. 7. 400 000 000 Here, we have 9 places after the decimal point. Therefore, to express this number in scientific notation: ๐. ๐ × ๐๐๐ SCIENTIFIC NOTATION Continuing from previous slide… 7.4 × 10# meaning and accuracy of number to the power of how many times it is multiplied by 10 multiplied by 10 NOTE! o Large numbers (i.e. anything above zero) have a positive power of 10. o Small numbers (i.e. anything below zero) have a negative power of 10. Example Question: Express 0.0009432 in scientific notation. 0.0009.432 ๐. ๐๐๐ × ๐๐&๐ WHY ARE WE LEARNING THESE TWO METHODS OF ROUNDING?? • Often, HSC examiners will not write a question specifically about significant figures or scientific notation, but will include these concepts as part of ‘rounding’. • Therefore, we NEED TO UNDERSTAND how to apply these concepts correctly, to ensure that we maximise our marks when answering exam questions. REVISING PYTHAGORAS’ THEOREM Pythagoras’ theorem ๐Z + ๐Z = ๐Z c a b key tip: c is always the longest side (hypotenuse) and is found opposite the right angle – the decision where to place a and b is entirely up to you! THIS THEOREM CAN ONLY BE APPLIED TO RIGHT-ANGLED TRIANGLES. REVISING RIGHT-ANGLED TRIGONOMETRY Trigonometric ratios – AGAIN only apply to right-angled triangles Hypotenuse Opposite ๐ฝ Adjacent ๐ ๐๐ ๐ = ())(*+!, -.)(!,/0*, (SOH) ๐๐๐ ๐ = 12314,/! -.)(!,/0*, (CAH) ๐ก๐๐ ๐ = ())(*+!, 12314,/! (TOA) RIGHT-ANGLED TRIGONOMETRY Question 12 – 2019 HSC Exam: RIGHT-ANGLED TRIGONOMETRY Example Question: Find the length of the unknown side x in the triangle below, correct to two decimal places. 24ห5’ x 40cm x = 17.88cm RIGHT-ANGLED TRIGONOMETRY Example Question: Find the unknown angle ๐ in the triangle below, correct to the nearest degree. ๐ 19.9mm 17.5mm ๐ = 28ห TRAPEZOIDAL RULE The trapezoidal rule is used to estimate an area bounded by a curved edge. The area is approximated by replacing the curved edge with a straight line, thus creating a trapezium. To use the Trapezoidal rule for a single application, we use the formula: ๐จ ≈ ๐ (๐ + ๐ ๐ ) ๐ ๐ ๐ ๐ ๐ ๐ ๐ where ๐! (first length) and ๐" (last length) are the lengths of the parallel sides of the trapezium and h is the perpendicular distance between them TRAPEZOIDAL RULE Example Question: Use two applications of the Trapezoidal rule to estimate the area of the following field. โ ๐ด ≈ (๐$ + ๐% ) 2 โ ๐ด ≈ (๐$ + ๐% ) 2 15 ๐ด ≈ (63 + 42) 2 ๐ด ≈ ๐ด ≈ 787.5๐& 63๐ 42๐ 15๐ 37๐ 15๐ ๐ป๐๐๐๐ ๐๐๐๐ = ๐๐๐๐๐๐ 15 (42 + 37) 2 ๐ด ≈ 592.5๐& It’s Q&A time!!! Ask me any specific questions you have about the topic we just completed. I’ll allow approximately 3 questions per topic, so we don’t run out of time J www.slido.com Event code: HMS Passcode: ATAR THANKYOU YEAR 12!