PROBABILITY DENSITY FUNCTIONS

Transcription

1 PROBABILITY DENSITY FUNCTIONS

2 P.D.F. CALCULATIONS

3 Question 1 (***) The lifetime of a certain brand of battery, in tens of hours, is modelled by the f x given by continuous random variable X with probability density function ( ) a) Sketch f ( x ) for all x. f ( x) 2 x 75 = 2 0 x 5 5 < x otherwise 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. FS1-D, 59 P( X > 4) =,

4 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 ( ) f t = kt 0 t 12 0 otherwise a) Show that 1 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. FS1-A, P( 5) T > =, ( T ) ( T ) E = Var = 8

5 Question 3 (****) The continuous random variable X has probability density function f ( x ), given by f ( x) = 2x + k 3 x 4 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 =, E( X ) = , ( ) 1 3 Var X = , 18 2 median = , mean < median < mode negative skew 2

6 Question 4 (****) A continuous random variable X has probability density function f ( x ) given by where m and k are positive constants. mx 0 x 4 f ( x) k 4 x 9 0 otherwise Find as an exact simplified fraction the value of E( X ). FS1-N, E( ) 227 X = 42

7 Question 5 (****+) The continuous random variable X has probability density function f ( x ), given by f kx 16 x 0 x 4 = 0 otherwise 2 ( ) ( ) x a) Show that 1 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, E( X ) = , ( ) Var X = 0.782, mode 2.31, 225 mean < median < mode negative skew

8 Question 6 (****+) The continuous random variable X has probability density function f ( x ), given by f ( x) ( ) otherwise kx a x x = 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 = ( a ). It is further given that E( X ) = 2.4. c) Show further that 9 k = 80 3 ( a ). 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 = , mode = 3 80

9 Question 7 (****+) The continuous random variable X has probability density function f ( x ), given by 2 x 0 x k 21 f ( x) = 2 ( 6 x) k < x otherwise Determine the value of the positive constant k, and hence or otherwise find P X < 1 3 k X < k. FS1-U, k = 3.5, P X < 1 k X < k = 1 3 9

10 Question 8 (****+) f ( x) P O 4 Q( a,0) x 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 2 f ( x) kx =, 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) 4 < x a, where a is a positive constant. For all other values of x, f ( x ) = 0., for a) State the mode of X. It is given that the mode of X is equal to the median of X. b) Show that 3 k =, and find the value of a. 128 [continues overleaf]

11 [continued from overleaf] It is further given that E( ) 71 X =. 18 c) Determine with justification the skewness of the distribution. FS1-Y, mode = 4, a = 20, mean < median = mode negative skew 3

12 Question 9 (****+) y O 3 6 x 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 3 x =. The probability density function f ( x ) is fully specified as where a, b and c are non zero constants. ax 0 x 3 f ( x) = b + cx 3 < x 6 0 otherwise 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]

13 [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, 1 9 a =, ( ) E X = 3, Q , Q

14 Question 10 (****+) The continuous random variable X has probability density function f ( x ), given by f ( x) kx 0 x a = 0 otherwise where a and k are positive constants. Show, by a detailed method, that Var = ( X ) a FS1-Z, proof

15 P.D.F. to C.D.F CALCULATIONS

16 Question 1 (****) The continuous random variable X has probability density function f ( x ), given by f ( x) 2 ( 5 x) 2 x 5 = 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. 0 x < 2 F x = 1 x 8 x 2 2 x x > 5 FS1-B, ( ) ( )( ), Q 3 = 3.5, Q2 Q1 < Q3 Q2 +ve skew

17 Question 2 (****) The continuous random variable X has probability density function f ( x ), given by f ( x) ( ) kx x 3 3 x 4 = 0 otherwise a) Use integration to show that k = 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 E FS1-H, ( ) X =, ( ) ( ) 0 x < 3 F x = 1 2 x 9 x x x > 4

18 Question 3 (****) The continuous random variable X has probability density function f ( x ), given by f ( x) ( ) 2 k x x 0 = 0 otherwise a) Show clearly that k = 3. 8 b) Find the value of E( X ). c) Show that Var ( X ) = The cumulative distribution function of X, is denoted by F ( x ). d) Find and specify fully F ( x ). e) Determine P( 1 X 1). 3 2 FS1-K, E( X ) = 0.5, ( ) 0 x < 2 F x = x + x + x x 0, x > 0 ( X ) P 1 1 = 0.875

19 Question 4 (****) The continuous random variable X has probability density function f ( x ), given by: f ( x) a) Find the value of E( X ). 1 3 x 2 x 4 = 60 0 otherwise 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. E FS1-O, ( ) x < 2 4 X =, ( ) ( ) F x = 1 x 16 2 x 4, x > 4 ( 3.5) 113 P X > =, median

20 Question 5 (****) The continuous random variable X has probability density function f ( x ), given by f ( x) ( ) kx 6 x 0 x 5 = 0 otherwise a) Show clearly that 3 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. 0 x < 0 1 = x 9 x 0 x 5, 1 x > 5 E( ) 45 2 X =, mode = 3, F 16 ( x) 100 ( ) mean < median < mode negative skew

21 Question 6 (****) The continuous random variable X has probability density function f ( x ), given by f ( x) ( )( ) k x 1 x 4 1 x 4 = 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 = x < F ( x) = 1 ( x + 15 x 2 x ) 1 x 4, 27 1 x > 4 mean = median = mode = 2.5 zero skew

22 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 = 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. FS1-R, E( X ) = 40, F ( x) ( )( ) 11 0 x < 2 1 = x + 6 x 2 2 x x > 5, median 3.70

23 Question 8 (****) The continuous random variable X has probability density function f ( x ), given by 1 0 x f ( x) = 4 x 2 < x 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. F x FS1-E, ( ) 4 0 x < 0 1 x 0 x 2 3 = 1 x < x x > 3, median = 1.5, (mode) < median < mean slight positive skew

24 Question 9 (****) The continuous random variable X has probability density function f ( x ), given by a) Show clearly that k = f 1 x 0 x 2 4 = kx 2 x 4 < 0 otherwise ( x) 3 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( ) 58 X =. 25 e) Calculate the interquartile range of X. FS1-Q, F ( x) 0 x < x 0 x 2 8 = 4 x < x x > 4, median = 2, IQR 2.00

25 Question 10 (****) The continuous random variable X has probability density function f ( x ), given by 2 ( ) k x 2x x < 2 f ( x) = 1 k 2 x 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( ) 11 X =. 10 d) Show that the median of X lies between 1.05 and 1.1. FS1-I, F ( x) 0 x < x( x 3x + 9) 0 x < 2 15 = 1 ( x + 12) 2 x x > 4

26 Question 11 (****+) The continuous random variable X has probability density function f ( x ), given by: 1 x 0 x < 4 10 f ( x) = 2 2 x 4 x 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 ). FS1-M, mode 4 =, Var ( X ) = 7, F ( x) 6 0 x < 0 20 = ( x 10 x + 20 ) x 5 1 x > x 0 x < 4

27 Question 12 (****+) The continuous random variable X has probability density function f ( x ), defined by the piecewise continuous function f ( x) 1 ( x 12 1 ) 1 x x = < x 6 < x otherwise 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 ( ) F x 0 x < x x + 1 x = x 3 < x x + 5 x 13 6 < x x > 10 [continues overleaf]

28 [continued from overleaf] c) Calculate the median of X. d) Determine the value of P( 2 X 4) P( 5 X 9) e) Find the value for E( X ). < < < <. FS1-V, median 5 =, P( 2 < X < 4) P( 5 < X < 9) = 37, ( ) E X = 12

29 C.D.F. to P.D.F CALCULATIONS

30 Question 1 (***) The cumulative distribution function, F ( x ), of a continuous random variable X is given by the following expression 4 2 ( ) ( ) 0 x < 1 F x = k x + 2x 3 1 x 3 1 x > 3 where k is a positive constant. a) Show clearly that b) Find P( X > 2). 1 k =. 96 c) Determine the probability density function of X, for all values of x. 3 X > =, ( ) 24 ( ) f x FS1-I, P( 2) x + x 1 x = 3 0 otherwise

31 Question 2 (***) The cumulative distribution function, F ( x ), of a continuous random variable X is given by where k is a positive constant. a) Show clearly that k = b) Calculate P( X < 1). c) Find P( X = 1). 0 x < 3 F ( x) = k ( x + 3) 3 x 8 1 x > 8 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 ). FS1-C, P( X < 1) = 4, P( 1) 0 11 X = =, f ( x) 1 3 x 8 = 11, 0 otherwise uniform continuous, E( X ) = 5, Var ( X ) =

32 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 F t a) Calculate the value of i. P( T > 3.5). ii. P( T = 3). 0 t < 2 1 = t + 6 t 2 2 t t > 4 ( ) ( )( ) 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. FS1-G, P( 3.5) 23 T > =, P( 3) 0 80 T = =, f ( t) 1 ( t ) 2 t = 4, otherwise

33 Question 4 (***) The cumulative distribution function, F ( y ), of a continuous random variable Y is given by 0 y < 0 3 F ( y) = ky 0 y b 1 y > b It is further given that ( ) 13 P 1< Y < 3 =. 32 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. FS1-D, f ( y) 3 2 y 0 y 4 = 64 0 otherwise, median 3.17, mode = 4, median < mode negative skew

34 Question 5 (***) The cumulative distribution function F ( x ) of a continuous random variable X is given by the following expression where k is a positive constant. a) Find the value of k. 0 x < 0 F ( x) = kx( x + 2) 0 x 2 1 x > 2 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. FS1-Z, 1 8 k =, P ( X > 1.5 ) = 11, f ( x) 32 1 ( x ) 0 x = 2 0 otherwise, mode = 2

35 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 ( ) F t 0 t < 0 = t > t 0 t 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( ) 9 2 T = and ( ) E T = c) Determine the probability that the time a patient has to wait for an appointment, is more than one standard deviation above the mean. FS1-W, 2 78 days, ( ) t 0 t f t = 12 0 otherwise,

36 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 3 4 ( ) ( ) 0 t < 0 F t = k 2t t 0 t b 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 27 8, show that k = 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. FS1-Y, P( 1) t 2 t 0 t b = 0 otherwise 2 3 T > =, ( ) 27 ( ) f t

37 Question 8 (***+) A continuous random variable X has the following cumulative distribution function F ( x ), defined by a) Find P( X > 0.5). 2 2 ( ) ( ) 0 x < 0 F x = 1 x 6 x 0 x x > 1 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( ) 16 this distribution. X = and E( ) X =, evaluate the skewness coefficient for 15 2 X > =, ( ) 5 ( ) f x P 0.5 FS1-N, ( ) x 3 x 0 x = 1 0 otherwise, 1.507

38 Question 9 (****) The cumulative distribution function, F ( x ), of a continuous random variable X is given by the following expression 3 2 ( ) ( ) 0 x < 1 F x = k x + 6x 5 1 x 4 1 x > 4 where k is a positive constant. a) Show clearly that k = 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. FS1-A, f ( x) 1 x 9 ( 4 x) 1 x = 4 0 otherwise, mode = 2, positive skew

39 Question 10 (****) The cumulative distribution function, F ( x ), of a continuous random variable X is given by the following expression a) Find P( X > 1.2). 0 x < 1 F ( x) = ( 3 x)( x 1) 2 1 x 2 1 x > 2 b) Show that the median of X lies between 1.59 and c) Show that for 1 x 2, the probability density function of X, f ( ) ( ) ( 1 )( 3 7) f x = x x. x, is d) Show further that the mean of X is e) Given that the variance of X is 43 f) Find the mode of X. 720, find the exact value of 2 ( ) FS1-F, P( 1.2) X > =, E( ) E X. 2 X = 77, mode =

40 Question 11 (****+) The cumulative distribution function, F ( x ), of a continuous random variable X is given by 2 3 ( ) ( ) 0 x < 3 F x = k a 36x + bx x 3 x 6 1 x > 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

41 Question 12 (*****) The continuous random variable X has the following cumulative distribution function 0 x < 0 2 F ( x) = ax bx 0 x k 1 x > k where vehicles a, b and k are positive constants. The variable Y is related to X by Y = 3X 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 =