Title | AQA AS A Fmaths Formulae |
---|---|
Author | Ja Hunt |
Course | MATH Stat |
Institution | University of Melbourne |
Pages | 16 |
File Size | 515.4 KB |
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General Notes...
Formulae and statistical tables for A‑level Mathematics and A‑level Further Mathematics AS Mathematics (7356) A‑level Mathematics (7357) AS Further Mathematics (7366) A‑level Further Mathematics (7367) v1.5 Issued February 2018 For the new specifications for first teaching from September 2017.
This booklet of formulae and statistical tables is required for all AS and A‑level Further Mathematics exams. Students may also use this booklet in all AS and A‑level Mathematics exams. However, there is a smaller booklet of formulae available for use in AS and A‑level Mathematics exams with only the formulae required for those examinations included.
Page Bros/E12
FMFB16
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Further copies of this booklet are available from: Telephone: 0844 209 6614 Fax: 01483 452819 or download from the AQA website www.aqa.org.uk
Copyright © 2017 AQA and its licensors. All rights reserved.
Copyright AQA retains the copyright on all its publications. However, registered centres of AQA are permitted to copy material from this booklet for their own internal use, with the following important exception: AQA cannot give permission to centres to photocopy any material that is acknowledged to a third party even for internal use within the centre.
Set and published by AQA.
AQA Education (AQA) is a registered charity (number 1073334) and a company limited by guarantee registered in England and Wales (number 3644723). Our registered address is AQA, Devas Street, Manchester M15 6EX
3
Contents Page Pure mathematics
4
Mechanics
10
Probability and statistics
11
Statistical tables Table 1 Percentage points of the student’s t ‑distribution
12
Table 2 Percentage points of the χ 2 distribution
13
Table 3 Critical values of the product moment correlation coefficient
14
4
Pure mathematics Binomial series n n n (a + b)n = an + an −1b + an − 2b 2 + … + a n −r br + … + b n r 2 1 n where = r
n
Cr =
(1 + x )n = 1 + nx +
n! r!(n − r )!
n( n − 1) 2 n( n − 1)… ( n − r + 1) r x +…+ x + … ( x < 1, n ∈ ) 1.2 1.2…r
Arithmetic series Sn =
1 1 n (a + l) = n [2a + (n − 1)d] 2 2
Geometric series Sn =
a (1 − r n ) 1− r
S∞ =
a for | r | < 1 1− r
Trigonometry: small angles For small angle θ, measured in radians: sin θ ≈ θ cos θ ≈ 1 −
θ2 2
tan θ ≈ θ Trigonometric identities sin (A ± B) = sin A cos B ± cos A sin B cos (A ± B) = cos A cos B tan (A ± B) =
(n ∈ )
sin A sin B
tan A ± tan B 1 tan A tan B
sin A + sin B = 2 sin
(A ± B ≠ (k +
A+ B A− B cos 2 2
sin A − sin B = 2 cos
A+ B A− B sin 2 2
cos A + cos B = 2 cos
A+ B A− B cos 2 2
cos A − cos B = −2 sin
A+ B A− B sin 2 2
1 )π) 2
5
Differentiation f(x)
f ′(x)
tan x
sec2 x
cosec x
−cosec x cot x
sec x
sec x tan x
cot x
−cosec2 x 1 1 − x2
sin−1 x
1 1 − x2
cos−1 x
−
tan−1 x
1 1 + x2
tanh x
sech2 x 1 1 + x2
sinh−1 x
1
cosh−1 x
x2
−1
tanh−1 x
1 1 − x2
f ( x) g (x )
f ( x ) g( x ) − f ( x ) g ( x) (g( x))2
Differentiation from first principles f (x + h ) − f (x ) →0 h
f ( x ) = lim h
6
Integration
∫ u d x dx = uv − ∫ v dx dx dv
du
f ( x)
∫ f (x ) dx = ln| f (x )| + c f(x)
∫ f(x) dx
tan x
ln |
sec x
| + c
cot x
ln |
sin x
| + c
cosec x
−ln | cosec x + cot x | = ln tan 1 x + c
sec x
ln |
sec2 x
tan x + c
tanh x
ln cosh x + c
1 a2 − x2 1 a2 + x2
| ( )| sec x| t+antan ( x x| += lnπ)| + c 2
1 2
x sin−1 + c a
1 4
(| x | < a)
1 x tan−1 + c a a
1 − a2
x cosh−1 or ln{x + a
x2 − a2 } + c
1 a2 + x2
x sinh−1 or ln{x + a
x 2 + a 2} + c
x2
1 a2 − x2 x2
1 − a2
a+x 1 1 x ln = tanh−1 + c a a a−x 2a
| | x −a 1 +c ln | x +a | 2a
(x > a)
(| x | < a)
Numerical solution of equations f (x ) The Newton‑Raphson iteration for solving f (x) = 0: xn+1 = xn − n f ( xn )
Numerical integration The trapezium rule:
b
∫a y dx ≈
b−a 1 h{( y0 + yn) + 2( y1 + y2 + … + yn−1)}, where h = 2 n
Complex numbers [r(cos θ + i sin θ)]n = r n(cos nθ + i sin nθ ) The roots of zn = 1 are given by z = e
2 πk i n ,
for k = 0, 1, 2, … , n − 1
7
Matrix transformations cosθ Anticlockwise rotation through θ about O: sinθ cos2θ Reflection in the line y = (tan θ) x: sin2θ
− sinθ cosθ
sin2θ −cos2θ
The matrices for rotations (in three dimensions) through an angle θ about one of the axes are:
0 0 1 θ −sin θ for the x‑axis 0 cos 0 sin θ cos θ cosθ 0 sinθ 1 0 for the y‑axis 0 −sin θ 0 cos θ cosθ sin θ 0
− sinθ cos θ 0
0 0 for the z‑axis 1
Summations n
∑ r2 = r =1 n
∑ r3 = r =1
1 n(n + 1)(2n + 1) 6 1 2 n (n + 1)2 4
Maclaurin’s series f (x) = f (0) + x f ′(0) +
x2 x r (r) f ″(0) + … + f (0 ) + … r! 2!
ex = exp(x) = 1 + x +
xr x2 +… +…+ r! 2!
ln(1 + x) = x − sin x = x − cos x = 1 −
for all x
x3 xr x2 + − … + (−1)r+1 +… 3 r 2
x5 x3 x2r +1 +… + − … + (−1)r ( 2r + 1)! 5! 3! x2r x4 x2 − … + (−1)r +… + 4! ( 2r)! 2!
(−1 < x 1) for all x for all x
8
Vectors The resolved part of a in the direction of b is i Vector product: a × b = | a || b| sin θ nˆ = j k
a.b b
a1 a2 a3
b1 b2 b3
=
a 2b3 − a 3b 2 a b a b 3 1 − 13 a1b2 − a2b1
If A is the point with position vector a = a1i + a2 j + a3k, then • the straight line through A with direction vector b = b1i + b2j + b3k has equation x − a1 y − a2 z − a3 = = =λ (Cartesian form) b1 b2 b3 or (r − a) × b = 0
(vector product form)
• the plane through A and parallel to b and c has vector equation r = a + sb + tc Area of a sector A = 1 ∫ r 2 dθ 2
(polar coordinates)
Hyperbolic functions cosh2 x − sinh2 x = 1 sinh 2 x = 2 sinh x cosh x cosh 2 x = cosh2 x + sinh2 x cosh−1 x = ln{x +
x 2 − 1}
sinh−1 x = ln{x +
x 2 + 1}
1+ tanh−1 x = 1 ln 1− 2
x x
(x 1)
(| x | < 1)
Conics
Standard form Parametric form Asymptotes
Ellipse
Parabola
Hyperbola
x2 y2 + =1 a2 b2
y 2 = 4ax
x2 y2 − 2 =1 a2 b
x = a cos θ y = b sin θ
x = at2 y = 2at
x = a sec θ y = b tan θ
none
none
x y =± a b
9
Further numerical integration The mid‑ordinate rule: where h =
1 2
+ y3 + + y
3 2
n−
2
+y
n−
1 2
)
b− a n
Simpson’s rule: where h =
b
∫a y d x » h ( y
1 ∫a y dx » 3 h {( y0 + yn ) + 4( y1 + y3 + + yn− 1) + 2 ( y2 + y 4 + + y n− 2 )} b
b− a and n is even n
Numerical solution of differential equations For
dy = f (x) and small h, recurrence relations are: dx Euler’s method: yn +1 = yn + hf (xn), xn +1 = xn + h
dy = f (x, y): dx Euler’s method: yr +1 = yr + hf (xr, yr),
For
xr +1 = xr + h
Improved Euler method: yr +1 = yr–1 + 2hf (xr, yr),
xr +1 = xr + h
Arc length s=
s=
2
∫
d y 1 + dx d x
∫
dy dx + dt dt dt
2
(Cartesian coordinates) 2
(parametric form)
Surface area of revolution 2
dy Sx = 2π ∫ y 1 + dx dx 2
(Cartesian coordinates) 2
d y dx Sx = 2π ∫ y + d t dt dt
(parametric form)
10
Mechanics Constant acceleration s = ut + 1 at2
s = ut + 1 at 2
s = vt − 1 at2
s = vt − 1 at 2
v = u + at
v = u + at
s = 1 (u + v)t
s=
2
2
2
2 2
1 (u + v)t 2
v2 = u2 + 2as
Centres of mass For uniform bodies: Triangular lamina:
2 along median from vertex 3
Solid hemisphere, radius r: 3 r from centre 8
Hemispherical shell, radius r: 1 r from centre 2
Circular arc, radius r, angle at centre 2α:
r sin α from centre α
Sector of circle, radius r, angle at centre 2α:
2r sin α from centre 3α
Solid cone or pyramid of height h: 1 h above the base on the line from centre of base 4 to vertex Conical shell of height h:
1 h above the base on the line from centre of base to vertex 3
11
Probability and statistics Probability P(A ∪ B) = P(A) + P(B) − P(A ∩ B) P(A ∩ B) = P(A) × P(B | A) Standard deviation Σ ( x − )x n
2
=
Σ x2 − x2 n
Discrete distributions Distribution of X
P(X = x)
Mean
n x n −x x p (1 − p)
Binomial B(n, p)
e−λ
Poisson Po(λ)
np
λx x!
Variance np(1 − p)
λ
λ
Sampling distributions For a random sample X1, X2, …, Xn of n independent observations from a distribution having mean μ and variance σ 2: σ2 X is an unbiased estimator of μ, with Var (X ) = n S 2
is an unbiased estimator of
σ 2,
where
S 2
=
∑( X i − X )
2
n−1
For a random sample of n observations from N(μ, σ 2):
X−μ ~ N(0, 1) σ n X−μ ~ tn−1 S n Distribution-free (non-parametric) tests Contingency tables:
∑
(Oi − Ei )2 Ei
is approximately distributed as χ 2
12
TABLE 1
Percentage points of the student’s t-distribution p
The table gives the values of x satisfying P(X x) = p, where X is a random variable having the student’s t‑distribution with v degrees of freedom.
0
p v 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28
0.9
0.95
0.975
0.99
0.995
3.078
6.314
12.706
31.821
63.657
1.886
2.920
4.303
6.965
9.925
1.638
2.353
3.182
4.541
5.841
1.533
2.132
2.776
3.747
4.604
1.476
2.015
2.571
3.365
4.032
1.440
1.943
2.447
3.143
3.707
1.415
1.895
2.365
2.998
3.499
1.397
1.860
2.306
2.896
3.355
1.383
1.833
2.262
2.821
3.250
1.372
1.812
2.228
2.764
3.169
1.363
1.796
2.201
2.718
3.106
1.356
1.782
2.179
2.681
3.055
1.350
1.771
2.160
2.650
3.012
1.345
1.761
2.145
2.624
2.977
1.341
1.753
2.131
2.602
2.947
1.337
1.746
2.121
2.583
2.921
1.333
1.740
2.110
2.567
2.898
1.330
1.734
2.101
2.552
2.878
1.328
1.729
2.093
2.539
2.861
1.325
1.725
2.086
2.528
2.845
1.323
1.721
2.080
2.518
2.831
1.321
1.717
2.074
2.508
2.819
1.319
1.714
2.069
2.500
2.807
1.318
1.711
2.064
2.492
2.797
1.316
1.708
2.060
2.485
2.787
1.315
1.706
2.056
2.479
2.779
1.314
1.703
2.052
2.473
2.771
1.313
1.701
2.048
2.467
2.763
p v 29 30 31 32 33 34 35 36 37 38 39 40 45 50 55 60 65 70 75 80 85 90 95 100 125 150 200 ∞
0.9
0.95
0.975
0.99
x 0.995
1.311
1.699
2.045
2.462
2.756
1.310
1.697
2.042
2.457
2.750
1.309
1.696
2.040
2.453
2.744
1.309
1.694
2.037
2.449
2.738
1.308
1.692
2.035
2.445
2.733
1.307
1.691
2.032
2.441
2.728
1.306
1.690
2.030
2.438
2.724
1.306
1.688
2.028
2.434
2.719
1.305
1.687
2.026
2.431
2.715
1.304
1.686
2.024
2.429
2.712
1.304
1.685
2.023
2.426
2.708
1.303
1.684
2.021
2.423
2.704
1.301
1.679
2.014
2.412
2.690
1.299
1.676
2.009
2.403
2.678
1.297
1.673
2.004
2.396
2.668
1.296
1.671
2.000
2.390
2.660
1.295
1.669
1.997
2.385
2.654
1.294
1.667
1.994
2.381
2.648
1.293
1.665
1.992
2.377
2.643
1.292
1.664
1.990
2.374
2.639
1.292
1.663
1.998
2.371
2.635
1.291
1.662
1.987
2.368
2.632
1.291
1.661
1.985
2.366
2.629
1.290
1.660
1.984
2.364
2.626
1.288
1.657
1.979
2.357
2.616
1.287
1.655
1.976
2.351
2.609
1.286
1.653
1.972
2.345
2.601
1.282
1.645
1.960
2.326
2.576
13
TABLE 2
Percentage points of the χ 2 distribution p
The table gives the values of x satisfying P(X x) = p, where X is a random variable having the χ 2 distribution with v degrees of freedom.
x
0 p v 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 45 50 55 60 65 70 75 80 85 90 95 100
0.005
0.01
0.025
0.05
0.1
0.9
0.95
0.975
0.99
0.995
0.00004
0.0002
0.001
0.004
0.016
2.706
3.841
5.024
6.635
7.879
0.010
0.020
0.051
0.103
0.211
4.605
5.991
7.378
9.210
10.597
0.072
0.115
0.216
0.352
0.584
6.251
7.815
9.348
11.345
12.838
0.207
0.297
0.484
0.711
1.064
7.779
9.488
11.143
13.277
14.860
0.412
0.554
0.831
1.145
1.610
9.236
11.070
12.833
15.086
16.750
0.676
0.872
1.237
1.635
2.204
10.645
12.592
14.449
16.812
18.548
0.989
1.239
1.690
2.167
2.833
12.017
14.067
16.013
18.475
20.278
1.344
1.646
2.180
2.733
3.490
13.362
15.507
17.535
20.090
21.955
1.735
2.088
2.700
3.325
4.168
14.684
16.919
19.023
21.666
23.589
2.156
2.558
3.247
3.940
4.865
15.987
18.307
20.483
23.209
25.188
2.603
3.053
3.816
4.575
5.578
17.275
19.675
21.920
2...