Created by T Madas
PROBABILITY DENSITY FUNCTIONS
Created by T. Madas Created by T Madas
P.D.F. CALCULATIONS
Created by T. Madas Created by T Madas
Question 1 (***) The lifetime of a certain brand of battery, in tens of hours, is modelled by the continuous random variable X with probability density function f( x ) given by
2 x0≤ x ≤ 5 75 f() x = 2 5 a) Sketch f( x ) for all x . b) Determine P(X > 4) . Two such batteries are needed by a piece of electronic equipment. This equipment will only operate if both batteries are still functional. c) If two new batteries are fitted to this equipment, determine the probability that this equipment will stop working within the next 40 hours. 59 2144 FS1-D , P(X > 4) = , ≈ 0.381 75 5625 Created by T. Madas Created by T Madas Question 2 (***) The lengths of telephone conversations, in minutes, by sales reps of a certain company are modelled by the continuous random variable T . The probability density function of T is denoted by f( t ) , and is given by kt0≤ t ≤ 12 f() t = 0 otherwise 1 a) Show that k = . 72 b) Determine P(T > 5) . c) Show by calculation that E(T) = Var ( T ) . d) Sketch f( t ) for all t . A statistician suggests that the probability density function f( t ) as defined above, might not provide a good model for T . e) Give a reason for his suggestion. 119 FS1-A , P(T > 5) = , E()()T= Var T = 8 144 Created by T. Madas Created by T Madas Question 3 (****) The continuous random variable X has probability density function f( x ) , given by 2x+ k 3 ≤ x ≤ 4 f() x = 0 otherwise a) Show that k = − 6 . b) Sketch f( x ) for all x . c) State the mode of X . d) Calculate, showing detailed workings, the value of … i. … E( X ) . ii. … Var ( X ) . iii. … the median of X . e) Determine with justification the skewness of the distribution. FS1-G , mode= 4 , EX =11 ≈ 3.67 , VarX =1 ≈ 0.0556 , () 3 () 18 2 median= 3 + ≈ 3.71 , mean< median < mode⇒ negative skew 2 Created by T. Madas Created by T Madas Question 4 (****) A continuous random variable X has probability density function f( x ) given by mx0≤ x ≤ 4 fx() ≡ k4 ≤ x ≤ 9 0 otherwise where m and k are positive constants. Find as an exact simplified fraction the value of E( X ) . 227 FS1-N , E()X = 42 Created by T. Madas Created by T Madas Question 5 (****+) The continuous random variable X has probability density function f( x ) , given by kx16− x2 0 ≤ x ≤ 4 f() x = ( ) 0 otherwise 1 a) Show that k = . 64 b) Calculate, showing detailed workings, the value of … i. … E( X ) . ii. … Var ( X ) . c) Show by calculation, that the median is 2.165 , correct to 3 decimal places. d) Use calculus to find the mode of X . e) Sketch the graph of f( x ) for all x . f) Determine with justification the skewness of the distribution. FS1-J , EX =32 ≈ 2.13 , VarX =176 ≈ 0.782 , mode≈ 2.31 , () 15 () 225 mean< median < mode⇒ negative skew Created by T. Madas Created by T Madas Question 6 (****+) The continuous random variable X has probability density function f( x ) , given by kx( a− x) 0 ≤ x ≤ 4 f() x = 0 otherwise where k and a are positive constants. A statistician claims that a ≥ 4 . a) Justify the statistician’s claim. b) Show clearly that 3 k = . 8() 3a − 8 It is further given that E( X ) = 2.4 . c) Show further that 9 k = . 80()a − 3 d) Hence determine the value of a and the value of k . e) Sketch the graph of f( x ) for all x and hence state the mode of X . FS1-L , a = 6 , k =3 = 0.0375 , mode= 3 80 Created by T. Madas Created by T Madas Question 7 (****+) The continuous random variable X has probability density function f( x ) , given by 2 x0 ≤ x ≤ k 21 f() x = 2 ()6−x k < x ≤ 6 15 0 otherwise Determine the value of the positive constant k , and hence or otherwise find 1 P X<3 kX < k . FS1-U , k = 3.5 , P X<1 kX < k = 1 3 9 Created by T. Madas Created by T Madas Question 8 (****+) f( x ) P x O 4 Q a ,0 ( ) The figure above shows the graph of the probability density function f( x ) of a continuous random variable X . The graph consists of the curved segment OP with equation f() x= kx 2 , 0≤x ≤ 4 , where k is a positive constant. The graph of f( x ) further consists ofm a straight line segment from P to Q( a ,0 ) , for 4 For all other values of x , f( x ) = 0 . a) State the mode of X . It is given that the mode of X is equal to the median of X . 3 b) Show that k = , and find the value of a . 128 [continues overleaf] Created by T. Madas Created by T Madas [continued from overleaf] 71 It is further given that E()X = . 18 c) Determine with justification the skewness of the distribution. FS1-Y , mode= 4 , a = 20 , mean< median = mode⇒ negative skew 3 Created by T. Madas Created by T Madas Question 9 (****+) y x O 3 6 The figure above shows the graph of a probability density function f( x ) of a continuous random variable X . The graph consists of two straight line segments of equal length joined up at the point where x = 3. The probability density function f( x ) is fully specified as ax0≤ x ≤ 3 f() x = b+ cx3 < x ≤ 6 0 otherwise where a , b and c are non zero constants. a) Show that b = 2 , c = − 1 and find the value of a . 3 9 b) State the value of E( X ) . c) Show that Var( X ) = 1.5 . [continues overleaf] Created by T. Madas Created by T Madas [continued from overleaf] d) Determine the upper and lower quartile of X . A statistician claims that P( X −µ < σ ) > 0.5 . e) Show that the statistician’s claim is correct. FS1-W , a = 1 , EX = 3 , Q ≈ 2.121 , Q ≈ 3.879 9 () 1 3 Created by T. Madas Created by T Madas Question 10 (****+) The continuous random variable X has probability density function f( x ) , given by kx0 ≤ x ≤ a f() x = 0 otherwise where a and k are positive constants. Show, by a detailed method, that Var X= 1 a 2 . () 18 FS1-Z , proof Created by T. Madas Created by T Madas P.D.F. to C.D.F CALCULATIONS Created by T. Madas Created by T Madas Question 1 (****) The continuous random variable X has probability density function f( x ) , given by 2 ()5−x 2 ≤ x ≤ 5 f() x = 9 0 otherwise The cumulative distribution function of X , is denoted by F( x ) . a) Find and specify fully F( x ) . b) Use F( x ) , to show that the lower quartile of X is approximately 2.40 , and find the value of the upper quartile. c) Given that the median of X is 2.88 , comment on the skewness of X . 0x < 2 1 FS1-B , Fx() =−− ()() xx8 − 2 2 ≤≤ x 5 , Q3 = 3.5 , 9 1x > 5 Q2− Q 1 < Q 3 − Q 2 ⇒ +ve skew Created by T. Madas Created by T Madas Question 2 (****) The continuous random variable X has probability density function f( x ) , given by kx( x−3) 3 ≤ x ≤ 4 f() x = 0 otherwise a) Use integration to show that k = 6 . 11 b) Calculate the value of E( X ) . c) Show that Var( X ) = 0.053 , correct to three decimal places. The cumulative distribution function of X , is denoted by F( x ) . d) Find and specify fully F( x ) . e) Show that the median of X lies between 3.70 and 3.75 . 0x < 3 FS1-H , E()X =81 ≈ 3.68 , Fx() = 1 ()2 xx3 −+ 9 2 27 3 ≤≤ x 4 22 11 1x > 4 Created by T. Madas Created by T Madas Question 3 (****) The continuous random variable X has probability density function f( x ) , given by k x+22 −≤≤ 2 x 0 f() x = () 0 otherwise a) Show clearly that k = 3 . 8 b) Find the value of E( X ) . c) Show that Var( X ) = 0.15 . The cumulative distribution function of X , is denoted by F( x ) . d) Find and specify fully F( x ) . e) Determine P(−1 ≤ X ≤ 1 ) . 0x < − 2 FS1-K , E()X = − 0.5 , Fx() =1 xxx3 +3 2 ++ 3 1 −≤≤ 2 x 0 , 8 4 2 1x > 0 P()−≤1 X ≤ 1 = 0.875 Created by T. Madas Created by T Madas Question 4 (****) The continuous random variable X has probability density function f( x ) , given by: 1 x3 2≤ x ≤ 4 f() x = 60 0 otherwise a) Find the value of E( X ) . b) Show that the standard deviation of X is 0.516 , correct to 3 decimal places. The cumulative distribution function of X , is denoted by F( x ) . c) Find and specify fully F( x ) . d) Determine P( X > 3.5 ) . e) Calculate the median of X , correct to two decimal places. 0x < 2 FS1-O , E()X =248 ≈ 3.31 , Fx() = 1 () x4 −16 2 ≤≤ x 4 , 75 240 1x > 4 P X >3.5 = 113 , median≈ 3.41 () 256 Created by T. Madas Created by T Madas Question 5 (****) The continuous random variable X has probability density function f( x ) , given by kx(6− x) 0 ≤ x ≤ 5 f() x = 0 otherwise 3 a) Show clearly that k = . 100 b) Calculate the value of E( X ) . c) Find the mode of X . The cumulative distribution function of X , is denoted by F( x ) . d) Find and specify fully F( x ) . e) Verify that the median of X lies between 2.85 and 2.9 . f) Determine with justification the skewness of the distribution. 0x < 0 E()X = 45 , mode= 3 , F() x = 1 x2 ()9− x 0 ≤ x ≤ 5 , 16 100 1x > 5 mean< median < mode⇒ negative skew Created by T. Madas Created by T Madas Question 6 (****) The continuous random variable X has probability density function f( x ) , given by kxx( −1)( − 4) 1 ≤≤ x 4 f() x = 0 otherwise a) Show clearly that k = − 2 9 b) Sketch the graph of f( x ) , for all x . c) State the value of E( X ) . d) Calculate the Var ( X ) . The cumulative distribution function of X , is denoted by F( x ) . e) Find and specify fully F( x ) . f) Determine with justification the skewness of the distribution. FS1-P , E()X = 2.5 , Var()X = 0.45 0x < 1 Fx() = 1 ()1124 −+− xxx 152 2 3 1 ≤≤ x 4 , 27 1x > 4 mean= median = mode = 2.5⇒ zero skew Created by T. Madas Created by T Madas Question 7 (****) The continuous random variable X has probability density function f( x ) , given by 2 + x 2≤x ≤ 5 f() x = k 0 otherwise a) Show clearly that k = 33 . 2 b) Find the value of E( X ) . c) Show that Var( X ) = 0.731 , correct to three decimal places. The cumulative distribution function of X , is denoted by F( x ) . d) Find and specify fully F( x ) . e) Determine the median of X . 0x < 2 FS1-R , E()X = 40 , F() x = 1 ()()x+6 x − 22 ≤≤ x 5 , median≈ 3.70 11 33 1x > 5 Created by T. Madas Created by T Madas Question 8 (****) The continuous random variable X has probability density function f( x ) , given by 1 0≤x ≤ 2 3 fx() = 4 x3 2 < x ≤ 3 195 0 otherwise a) Show that E( X ) = 1.532 , correct to three decimal places. The cumulative distribution function of X , is denoted by F( x ) . b) Find and specify fully F( x ) . c) Calculate the median of X . d) Determine with justification the skewness of the distribution. 0x < 0 1 x0≤ x ≤ 2 3 FS1-E , F() x = , median= 1.5 , 1 x4 +38 2 < x ≤ 3 195 65 1x > 3 (mode)< median < mean⇒ slight positive skew Created by T. Madas Created by T Madas Question 9 (****) The continuous random variable X has probability density function f( x ) , given by 1 x0≤ x ≤ 2 4 f() x = kx3 2< x ≤ 4 0 otherwise a) Show clearly that k = 1 . 120 The cumulative distribution function of X , is denoted by F( x ) . b) Find and specify fully F( x ) . c) State the median of X . d) Show that E X = 58 . () 25 e) Calculate the interquartile range of X . 0x < 0 1 x2 0≤ x ≤ 2 8 FS1-Q , F x = , median= 2 , IQR≈ 2.00 () x4 + 224 2 Created by T. Madas Created by T Madas Question 10 (****) The continuous random variable X has probability density function f( x ) , given by kxx2 −+23 0 ≤< x 2 ( ) f() x = 1 k2≤ x ≤ 3 3 0 otherwise a) Show clearly that k = 1 . 5 The cumulative distribution function of X , is denoted by F( x ) . b) Find and specify fully F( x ) . c) Show that E X = 11 . () 10 d) Show that the median of X lies between 1.05 and 1.1 . 0x < 0 1 xxx2 −+39 0 ≤< x 2 15 () FS1-I , F() x = 1 ()x+12 2 ≤ x ≤ 3 15 1x > 4 Created by T. Madas Created by T Madas Question 11 (****+) The continuous random variable X has probability density function f( x ) , given by: 1 x0≤ x < 4 10 f() x = 2−2 x 4 ≤ x ≤ 5 5 0 otherwise a) Sketch the graph of f( x ) for all x . b) State the mode of X . c) Show clearly that E( X ) = 3 . d) Calculate the value of Var ( X ) . e) Find and specify fully the cumulative distribution function of X , F( x ) . 0x < 0 1 x2 0≤ x < 4 20 FS1-M , mode= 4 , Var X = 7 , F x = () 6 () −1 ()x2 −+10 x 20 4 ≤≤ x 5 5 1x > 5 Created by T. Madas Created by T Madas Question 12 (****+) The continuous random variable X has probability density function f( x ) , defined by the piecewise continuous function 1 x−1 1 ≤ x ≤ 3 12 () 1 3 a) Sketch the graph of f( x ) , for all values of x . The cumulative distribution function of X , is denoted by F( x ) . b) Show by detailed calculations that 0x < 1 1x2 −+ 1 x 1 1 ≤≤ x 3 24 12 24 F() x = 1x− 1 3 < x ≤ 6 6 3 −1 x2 +−5 x 13 6 <≤ x 10 48 12 12 1x > 10 [continues overleaf] Created by T. Madas Created by T Madas [continued from overleaf] c) Calculate the median of X . d) Determine the value of P(2<<∪ X 4) PX( 5 << 9 ) . e) Find the value for E( X ) . FS1-V , median= 5 , P2<<∪ X 4 PX 5 <<= 9 37 , E X = 61 ()() 48 () 12 Created by T. Madas Created by T Madas C.D.F. to P.D.F CALCULATIONS Created by T. Madas Created by T Madas Question 1 (***) The cumulative distribution function, F( x ) , of a continuous random variable X is given by the following expression 0x < 1 Fxkxx() = ()4 +−23 2 1 ≤≤ x 3 1x > 3 where k is a positive constant. 1 a) Show clearly that k = . 96 b) Find P( X > 2 ). c) Determine the probability density function of X , for all values of x . 1 x3 + x1 ≤ x ≤ 3 FS1-I , P(X > 2) = 25 , f x = 24 ( ) 32 () 0 otherwise Created by T. Madas Created by T Madas Question 2 (***) The cumulative distribution function, F( x ) , of a continuous random variable X is given by 0x < − 3 Fxkx()()= +3 −≤≤ 3 x 8 1x > 8 where k is a positive constant. a) Show clearly that k = 1 . 11 b) Calculate P( X < 1 ) . c) Find P( X = 1 ) . d) Define the probability density function of X , for all values of x . e) State the name of this probability distribution. f) Determine the value of E( X ) and the value of Var ( X ) . 1 −3 ≤x ≤ 8 FS1-C , P(X < 1) = 4 , P(X = 1) = 0 , f x = 11 , 11 () 0 otherwise uniform continuous , E X = 5 , Var X = 121 () 2 () 12 Created by T. Madas Created by T Madas Question 3 (***) The continuous random variable T represents the lifetime, in tens of hours, for a certain brand of battery. The cumulative distribution function F( t ) of the variable T is given by 0t < 2 F() t = 1 ()()t+6 t − 2 2 ≤≤ t 4 20 1t > 4 a) Calculate the value of … i. … P(T > 3.5 ) . ii. … P(T = 3 ) . b) Show that the median of T is 3.10 , correct to three significant figures. c) Define the probability density function of T , for all values of t . Four new batteries, whose lifetime is modelled by T , are fitted to a road hazard lantern. This lantern will only remain operational if all four batteries are working. d) Determine the probability that the lantern will operate for more than 35 hours. 1 ()t+2 2 ≤ t ≤ 4 FS1-G , PT > 3.5 = 23 , P(T = 3) = 0 , f t = 10 , 0.00683 () 80 () 0 otherwise Created by T. Madas Created by T Madas Question 4 (***) The cumulative distribution function, F( y ) , of a continuous random variable Y is given by 0 y < 0 F() y= ky3 0 ≤ y ≤ b 1 y> b It is further given that P 1 a) Find the value of k and hence determine the probability density function of Y for all y . b) Calculate the median of Y . c) State the mode of Y and hence comment on the skewness of the distribution. 3 y2 0≤ y ≤ 4 FS1-D , f() y = 64 , median≈ 3.17 , mode= 4 , 0 otherwise median< mode⇒ negative skew Created by T. Madas Created by T Madas Question 5 (***) The cumulative distribution function F( x ) of a continuous random variable X is given by the following expression 0x < 0 F()() x= kx x +2 0 ≤≤ x 2 1x > 2 where k is a positive constant. a) Find the value of k . b) Show that the median of X is 1.236 , correct to 3 decimal places. c) Calculate P( X > 1.5 ) . d) Define the probability density function of X , f( x ) , for all x . e) Sketch the graph of f( x ) for all x , and hence state the mode of X . 1 ()x+1 0 ≤ x ≤ 2 FS1-Z , k = 1 , PX > 1.5 = 11 , f x = 4 , mode= 2 8 () 32 () 0 otherwise Created by T. Madas Created by T Madas Question 6 (***+) The time, in weeks, a patient has to wait for an appointment to see a psychiatrist in a certain hospital, is modelled by the continuous random variable T . The cumulative distribution function of T is given by 0t < 0 F() t = 1 t3 0≤ t ≤ 12 1728 1t > 12 a) Find, to the nearest day, the time within which 80% of the patients have been given an appointment. b) Define the probability density function of T , for all values of t . It is given that E(T ) = 9 and E(T 2 ) = 86.4 . c) Determine the probability that the time a patient has to wait for an appointment, is more than one standard deviation above the mean. 1 t2 0≤ t ≤ 12 FS1-W , ≈ 78 days , f() t = 576 , ≈ 0.1597 0 otherwise Created by T. Madas Created by T Madas Question 7 (***+) The time, in hours, spent on a piece of homework by a group of students is modelled by the continuous random variable T . The cumulative distribution function of T is given by 0t < 0 Ft() = ktt()23 − 4 0 ≤≤ tb 1 t> b where k is a positive constant. a) If the probability that a student from this group took between one quarter and three quarters of an hour to complete the homework is 8 , show that k = 16 . 27 27 b) Find the proportion of students who spent over an hour in their homework. c) Verify that the median is 0.921 , correct to 3 decimal places. d) Define the probability density function of T , for all values of t . 32 3tt2− 2 3 0 ≤ tb ≤ FS1-Y , P(T > 1) = 11 , f t = 27 ( ) 27 () 0 otherwise Created by T. Madas Created by T Madas Question 8 (***+) A continuous random variable X has the following cumulative distribution function F( x ) , defined by 0x < 0 Fx() =1 xx2()6 − 2 0 ≤≤ x 1 5 1x > 1 a) Find P( X > 0.5 ) . b) Define f( x ) , the probability density function of X , for all values of x . A skewness coefficient can be calculated by the formula mean− mode . standard deviation c) Given that E X = 16 and E X 2 = 7 , evaluate the skewness coefficient for () 25 ( ) 15 this distribution. 4 x3− x2 0 ≤ x ≤ 1 FS1-N , PX > 0.5 = 57 , f x = 5 ( ) , −1.507 () 80 () 0 otherwise Created by T. Madas Created by T Madas Question 9 (****) The cumulative distribution function, F( x ) , of a continuous random variable X is given by the following expression 0x < 1 Fxkxx() = () −+36 2 − 5 1 ≤≤ x 4 1x > 4 where k is a positive constant. 1 a) Show clearly that k = 27 . b) Define f( x ) , the probability density function of X , for all values of x . c) Sketch the graph of f( x ) for all x , and hence state the mode of X . d) Given that E( X ) = 2.25 , show that the median of X lies between its mode and its mean. e) State the skewness of the distribution. 1 x()4− x 1 ≤ x ≤ 4 FS1-A , f() x = 9 , mode= 2 , positive skew 0 otherwise Created by T. Madas Created by T Madas Question 10 (****) The cumulative distribution function, F( x ) , of a continuous random variable X is given by the following expression 0x < 1 2 Fx()()()=− 3 xx − 1 12 ≤≤ x x 1> 2 a) Find P( X > 1.2 ) . b) Show that the median of X lies between 1.59 and 1.60 . c) Show that for 1≤x ≤ 2 , the probability density function of X , f( x ) , is fx( ) =(1 − xx)( 3 − 7 ) . 19 d) Show further that the mean of X is . 12 43 e) Given that the variance of X is , find the exact value of E X 2 . 720 ( ) f) Find the mode of X . FS1-F , PX > 1.2 = 0.928 , E X 2 = 77 , mode = 5 () ( ) 30 3 Created by T. Madas Created by T Madas Question 11 (****+) The cumulative distribution function, F( x ) , of a continuous random variable X is given by 0x < 3 Fx() = ka() −+−36 xbxx2 3 36 ≤≤ x 1x > 6 where k , a and b are non zero constants. Determine the value of k , given that the mode of X is 4 . FS1-X , k = 1 27 Created by T. Madas Created by T Madas Question 12 (*****) The continuous random variable X has the following cumulative distribution function 0x < 0 F() x= ax − bx2 0 ≤≤ x k 1 x> k where vehicles a , b and k are positive constants. The variable Y is related to X by Y=3 X − 2 . Determine the value of a , b and k given further that E(Y ) = 2 and Var(Y ) = 8 . FS1-T , a = 1 , b = 1 , k = 4 2 16 Created by T. Madas