Formulas/info Flashcards

(67 cards)

1
Q

Simple Interest 1.1

A
  • I = PRN
  • Total owing = principal + interest

Interest: money earned on investment/charged on loan
Simple interest: (flat rate) interest calculated as a percentage of principal (amount invested/borrowed)

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2
Q

Compound Interest 1.2

A
  • FV = PV(1+R)^2
  • I = FV - PV

Compound Interest: interest added to principal + reinvested

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3
Q

Inflation and Appreciation 1.3

A
  • FV = PV(1+R)^n

Inflation: increase in price of goods/services
appreciation: increase in value of an item

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4
Q

Investing in Shares 1.4

A
  • DIVIDEND YIELD = dividend per share ÷ market price per share X 100
  • DIVIDEND = dividend yield X market price

Share: part ownership in a company
Dividend: type of interest earned by share holders
Dividend yield: percentage of market price of share
Brokerage: commission charged by stockbrokers

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5
Q

Share tables and graphs 1.5

A

LAST SALE = market price at end of day
+ OR - = change in price from previous day
NO. SOLD (100s) = no. shares sold (100s)
52 WEEK HIGH/LOW = maximum and minimum price in 52 weeks

Share tables: daily information about shares

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6
Q

Straight Line Depreciation 1.6

A
  • S = Vo-Dn

s - salvage
Vo - initial value
D - depreciation
n - no.periods

Depreciation: loss in value of asset over time
Straight line: item value decreases by same each time

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7
Q

Declining Balance Depreciation 1.7

A
  • S = Vo(1-r)^n

s - salvage (current value)
Vo - initial value
r = depreciation rate
n = number of periods

Declining balance: item value decreased by some percentage each period

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8
Q

Ration problems 2.1

A

Ratio: compares two or more parts of the same type

*simplify ratio, divide both parts by the HCF

105 : 75 (÷ by 15)
7 : 5

0.04 : 0.4 (x100 to make integers)
4 : 40 (÷ by 4)
1 : 10

45cm : 3m (convert to cm)
45cm : 300cm (÷ by 15)
3 : 20

A jar of jellybeans contains one yellow, white + green in ratio 12 : 11 : 22. if there are 600g of yellow, what is the mass of white jellybeans and all jellybeans.
12 : 11 : 22
Y : W : G
Y = 12 parts, 12p=600g
                      1p= 50g

since white=11p
11p = 50g X 11 = 550g
all parts= 12+11+22=45p
45p = 50g X 45=2250g

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9
Q

Dividing quantity in Ratio 2.2

A
  1. Find total number of parts by adding
  2. Find the size of one part by dividing
  3. Find size of each term of ratio by multiplying
  4. Check answers add to original quantity

Tim pays 30% of his weekly income of $1080 in tax. The remaining income is divided into savings + living expenses in the ratio 2:5. How much does Tim use for living expenses?

Saves 100-30=70% X 1080= $756
2 : 5 - total parts = 2+5=7p
7p = $756 (÷ by 7)
1p = $108
living expenses = 5p = 5 X $108 - $540
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10
Q

Rate problems 2.3

A
  • Rate rule
    write unit as fraction and solve using X/÷

e.g. beats/min = beats÷min

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11
Q

Unit Pricing 2.4

A
  • UNIT PRICE = price ÷ no. items/units

Unit price: price of one item or unit

Small can:
$2.85/375g (divide)
$0.0076/g = 0.76c/g

Large can:
$5.85/750g (÷)
$0.0078/g = 0.78c/g
i.e. small can is best buy

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12
Q

Solving Equations 3.1

A
  1. keep equation balanced by performing same on both sides
  2. Aim to have variable on one side of equation + a number on the other side

Equation: contains algebraic expression and equals sign

solve: 5-x÷2 = 2
10-x = 4
-x = -6
x = 6

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13
Q

Formulas and Equations 3.2

A

M = x+y+z÷3

M=22, x=25, y=26

22= 25+26+z÷3
66=51+z
z=15

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14
Q

Changing the subject 3.3

A
y = mx+c
mx+c = y
c = y-mx
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15
Q

Linear Functions 3.4

A
  • Form y=mx+c
  • Gradient: rate of change y relative to x - m= rise÷run
  • y-intercept = value of y when x = 0

Function: relationship between 2 variables

y= -2x+10
-2 is coefficient of x
10 is constant term

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16
Q

Direct Linear Variation 3.5

A
  • y = kx

y - directly proportional to x
k - constant

solving a linear variation problem

  1. identify 2 variables and form variation equation
  2. substitute values for x and y to find k
  3. Rewrite y=kx using value of k
  4. Substitute a value for x or y into y=kx
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17
Q

Intersection of Lines 3.6

A

Simultaneous equations: equations solved same time

Break even point: when revenue covers the cost exactly

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18
Q

Reducing Balance Loan 2.1

A
  • TOTAL PAID = loan repayment X no. repayment
  • TOTAL PAID = principal + interest

Reducing balance loan: calculated on balance owing on loan original principal borrowed

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19
Q

Credit Cards 4.2

A
  • DAILY INTEREST RATE = annual interest rate ÷ 365
  • FV = PV(1+R)^N
  • I = FV-PV

Credit cards: used to buy goods/services and pay for them later, interest can be flat/compound.

  • if payment not received, interest charged from purchase date
  • Interest usually charged daily using compound interest
  • Monthly statement provides record of spending
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20
Q

Annuities 4.3

A

Using Table

  1. Determine time period and rate of interest
  2. Find intersection of time/rate of interest
  3. Multiply number w/ money contributed

Annuity: form of an investment involving regular contributions e.g. investment into super

  • made at end of compound period
  • earns more interest because regular/equal payments made

Future value: total value at end of term, sum of all contributions plus interest

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21
Q

Loan repayment tables 4.4

A

Loan repayment tables: enable repayments for reducing balance loans to be easily calculated

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22
Q

Repaying Home loans 4.5

A

$560000 purchase price with a $150 000 deposit over 30yrs compounding monthly at 7.2%p.a. with these fees:

  • $600 loan establishment fee
  • 1.4c per $1000 borrowed per month
  • $3.80 per month management fee
  • $720 mortgage discharge fee

Total cost of loan
P = 560 000 - 150 000 = 410 000
therefore PV = 410 000

Monthly repayments
monthly rate = 7.2÷12=0.6%/month, n=30X12 = 360 months

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23
Q

Scatter Plots 5.1

A

Scatterplot: graph of points on plane

- represents bivariate data (2 variables)

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24
Q

Correlation 5.2

A

Correlation: measure of strength of linear association or relationship between 2 variables.

Pearson’s correlation co-efficient: r, is a number between -1, +1 measuring correlation of 2 units

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25
Line of Best fit 5.3
Line of best fit: the straight line drawn through the centre of dots with an equal number of dots above and below lone. - The line can be used to predict values given one variable. LINE OF BEST FIT - REGRESSION LINE (least squares line of best fit)
26
Speed + fuel consumption 2.5
AVERAGE SPEED = Distance travelled ÷ time taken Speed: rate at which something is moving/changing Fuel consumption: Rate at which a vehicle uses fuel measured in L/100km - depends on: driving urban, towing, using A/C
27
Converting Rates 2.6
- express as fraction, then divide A car travels at 75km/h, how far to the nearest 0.1m will it travel in 5sec
28
Least Squares regression 5.4
- y = mx+c - m = r X standard deviation of y-scores ÷ standard deviation of x-scores - c = mean of y-scores - mean of x-scores Regression line: line of best fit, representing all points (gradient/y-intercept calculated using formula)
29
Life Expectancy 5.5
Life expectancy: average number of years of life remaining to a person of specific age
30
Networks 6.1
Graph = diagram of a network, containing vertices (points), joined by lines called edges (arcs) Loop = edge connecting a vertex to itself Directed network = arrows on edges, indicate direction Weighted network = numbers/weights on edges, distance same - WEIGHT = SUM OF ALL EDGES Degree: number of edges connected to vertices can be odd/even - SUM OF ALL DEGREES = TWICE NUMBER OF EDGES Walk: any route along edges that includes repeat vertexes/edges Closed: starts/ends at same vertex Trail: walk with no repeat edges, vertices may be reused Circuit: Closed trail with no repeat edges Path: no repeat vertices/edges Cycle: Closed path with no repeat vertices/edges Connected network: connected if path between 2 vertices Networks/tables: networks can be represented using matrix/table
31
Eulerian trails/circuits 6.2
Eulerian trail: uses every edge only once - TRAILS = 2 ODD VERTICES, START AND FINISH AT THOSE VERTICES Eulerian circuit: uses every edge only once, starts and ends at the same - CIRCUIT = VERTICES ARE EVEN
32
Minimum spanning trees 6.3
Tree: any 2 vertices are connected by one path, no cycles Spanning tree: tree connecting all vertices Minimum spanning tree: spanning tree with smallest weight KRUSKAL'S ALGORITHM 1. sort edges in increasing order of weight 2. Diagram of network with all vertices, no edges 3. Choose edge with smallest weight 4. Choose next edge with smallest weight 5. Continue process with no cycles and vertices PRIM'S ALGORITHM 1. choose any vertex in network 2. Choose edge with least weight and correlate to another 3. Use 2 vertices, select next edge with least weight 4. Choose next edge with least weight 5. Repeat step 4 until all connected
33
Shortest path problems 6.4
Shortest path: between 2 vertices, can be found by trial and error FINDING SHORTEST PATH 1. redraw network with circles at each except start 2. For all vertices from start write shortest distance 3. Continue until final vertex reached 4. Shortest path found by moving back from finish to start
34
Activity tables/forward scanning 6.5
Activity table: shows order/time of each project predecessor: previous activity needing to be completed Dummy activity: eliminate repeat edges, zero time/weight Critical path: longest time path start/finish vertices Forward scanning: calculates EST, depending on completion of predecessor 1. redraw network w/ empty box on vertex, with 0 at start 2. select highest point for each 1st box 3. Continue until end
35
Backward scanning/ critical path 6.6
- FLOAT TIME = LSTnext - ESTnext - FLOAT TIME = LSTnext - EST - activity time *where ESTnext is ESTof next activity (earliest end time), LSTnext is LST of next activity (latest end time) Backward scanning: calculates LST for each activity (take smallest distance) Float time: longest time activity can be delayed without decreasing completion
36
Network flow problems 6.7
Source: start of network sink: end of flow network capacities: weights on edges representing amount it holds flow capacity: total flow through the network Inflow: total capacity of all edges entering the vertex outflow: total capacity of all edges leaving vertex maximum outflow: smaller of the inflow/outflow of vertex cut: line drawn through edges of flow network capacity of cut: amount of flow blocked by cut, found by summing the cut edges passing from source to sink
37
Maximum flow minimum cut 6.8
Maximum flow: capacity of the minimum cut TO FIND - calculate capacity of each cut and identify the cut that has the minimum capacity
38
Heart Rates 7.1
Max heart rate: upper limit of what cardiovascular system handles - MHR MALES = 220 - AGE - MHR FEMALES = 226 - AGE Target heart rate: desired heart rate to better aerobic fitness - THR = I X (MHR - RHR) + RHR *RHR = resting heart rate, MHR = max heart rate, I = exercise intenity
39
Food and energy Consumption 7.2
ENERGY UNITS - 1 kilojoule (kj) = 1000 joules (j) - 1 megajoule (MJ) = 1 000 000 joules = 1000kj - 1 Calorie (cal) = 4.184kj
40
Electricity usage homes 7.3
- WATT = 1w = 1000mW - KILOWATT = 1kW = 1000W - MEGAWATT = 1MW = 1000kW = 1000000W (10^6W) - GIGAWATT = 1GW = 1000MW = 10^9 Kilowatt hours: electricity usage measured in kWh Cents/kilowatt hours (c/kwh) = electricity usage given Domestic rate: electricity used during day Off-peak rate: electricity used late evenings/early morning, charges at cheaper rate
41
Energy consumption cost appliances 7.4
RUNNING COST = POWER USED (kWh) X ELECTRICITY COST ($/kWh)
42
Energy efficient housing 7.5
Energy efficient: homes making most of natural heating/cooling Features considered - orientation: should face North to capture Winter sun - insulation: light-coloured roofing - wind/skylight: windows face North - Ventillation: cross-ventilation allowing air flow - Landscapes/shading: plants/trees can shade walls/windows - Building materials: materials that can absorb stone and heat
43
Right-angled trig 8.1
SOH CAH TOA - Sin 0 = opposite÷hypotenuse - Cos 0 = adjacent÷hypotenuse - Tan 0 = opposite÷adjacent Angle of elevation: angle looking up Angle of depression: angle looking down
44
Bearings and navigation 8.2
Bearings: show direction of location from given point true bearing: (3 figures) between 000 + 360 measured clockwise from North Compass bearing: angles measured from North-South axis towards East or West
45
Sine Rule 8.3
- SINE RULE - a÷sinA = b÷sinB = c÷sinC Sine rule: relationship between sides/opposite angles
46
Sine rule unknown angles 8.4
- OBTUSE ANGLE ANSWERS = 180º0
47
Cosine rule 8.5
c^2 = a^2+b^2 - 2abcosC
48
Using cosine to find unknown 8.6
CosC = a^2+b^2-c^2 ÷ 2ab
49
Area of Triangle 8.7
A = 1/2abSinC
50
Problems sine/cosine 8.8
Triangle problems involving 2 sides and 2 angles opposite these sides - SINE RULE Triangle problems involving 3 sides and 1 angle - COSINE RULE
51
Scale drawings 9.1
Scale drawing: reduction of real object Scale ratio: compares lengths in scale drawings to actual lengths - e.g. if scale is 1:3, actual lengths are 3x size scaled length
52
Scale Maps + plans 9.2
Scale = map: real life 1:1000 = 1mm:1000mm or 1cm : 1000cm or 1m : 1000m
53
House plans 9.3
House plan: drawings drawn to scale - the plan: diagram of the floor (floor plan) - the elevation: view of front/back/sides of house
54
Offset + radial survey 9.4
Right angled triangles: use pythag theorem, the trigonometric ratios and - A=1/2bh Non right angled triangles: use sine/cosine rules and - A=1/2 Offset survey: used for irregular blocks of land e.g. surveyor chooses traverse line measuring offsets to each corner Compass radial survey: taking true bearing of each corner on field using compass placed in middle of field
55
Volume of tanks and dams 9.5
TRAPEZOIDAL RULE - A=h/2 (df + dl) *h = distance between successive points, df = first measurement, dl = last measurement
56
Quadratic function 10.1
THE PARABOLA y=ax^2+bx+c - if positive: concave up - if negative: concave down - y-intercept is c and vertex is (0,c)
57
Maximum and minimum problems 10.2
maximum and minimum quadratic: represented by vertex of its graph, y-value of vertex - Concave down: maximum value - Concave up: minimum value (*answer is the y-value)
58
Exponential Function 10.3
- EXPONENTIAL CURVE - y=a^x, y=a^-x - exponential curve always above x-axis - y-intercept is 1 - if a>1, y=a^x is increasing - if a>1, y=a^-x is decreasing Exponential growth: any quantity increasing y=b(a^x), where a>1 e.g. population size, investments, bushfire Exponential decay: any quantity decreasing y=b(a^-x), where a>1 or between 0 and 1 in y=b(a^x) e.g. radioactive decay EXPONENTIAL GROWTH AND DECAY - growth occurs when y=b(a^x) and a>1 - decay occurs when y=b(a^-x) and a>1, or when y=b(a^x) and a is between 0 and 1) - b is initial value of y (when x =0) - b is y-intercept of exponential curve
59
Reciprocal function 10.5
THE HYPERBOLA y=k÷x - 2 seperate branches in opposite quadrants - point symmetry (0,0) - asymptotes = x,y axis - if k is positive, hyperbola decreasing, branches in 1st/3rd quadrant - if k is negative, hyperbola increasing, branches in 2nd/4th quadrant - higher value of k, further hyperbola from x, y axis Reciprocal function: non-linear function, when x is denominator Hyperbola: graph of reciprocals function, 2 seperate functions
60
Inverse variation 10.6
SOLVING INVERSE VARIATION PROBLEM 1. identify two variables and form variation equation 2. substitute given values of x/y to find k 3. rewrite equation y=k÷x using k value 4. sub value for x/y into equation to solve problem Direct variation: two variables change in same direction e.g. fuel consumption of car, viewing range/height of tower Inverse variation: two variables change in different directions e.g. time of journey and average speed, or temperature and altitude
61
The normal distribution 11.1
Normal distribution: mean, median, mode are equal - bell shaped curve is smooth and symmetrical about the mean Frequency histogram: large small, bigger = normal curve
62
z-scores
Z-SCORES = SCORE-MEAN ÷ STANDARD DEVIATION z-score: shows position of raw score relative to mean - e.g. z-score of 1.8 standard deviation is 1.8means, a score of -0.5 means is half standard deviation below the mean
63
Comparing z-scores 11.3
since z-scores don't depend on value of mean, we use them to compare scores from different distributions
64
Measures of central tendency 11.4
CENTRAL TENDENCY - MEAN = SUM OF SCORES NO. OF SCORES - MEDIAN = MIDDLE SCORE SPREAD - RANGE = HIGHEST SCORE - LOWEST - IQR = Q3-Q1 - STANDARD DEVIATION = USING STATISTICS MODE Measure of central tendency: an average used to indicate the centre of a data set Measures of spread: used to indicate spread of data
65
Skew of distribution 11.5
peaks: high points of distribution clusters: groups of scores bunched together + skew: tail right, mean higher than mode/median - skew: tail left, mean lower than mode/median symmetry: data balanced
66
Effect of outliers 11.6
OUTLIER - LESS THAN = Q1 - 1.5XIQR - MORE THAN = Q3 + 1.5 X IQR outlier: very high/low score, clearly seperate from data - mean is most affected by outlier - median can be affected but not much - mode is not affected
67
Comparing data sets and plots 11.7
Back-to-back stem and leaf: compares 2 data sets Box plot: uses five-number summary to show data spread