Ujian Pra Pentaksiran Prestasi STPM 2014 Semester 2

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  • 7/21/2019 Ujian Pra Pentaksiran Prestasi STPM 2014 Semester 2

    1/4

    CONFIDENTIAL*

    Section A[45 marks]

    Answerallquestions in this section.

    1 In a study of the use of mobile phones among students, a random sample of 11 students wasexamined for a particular week. he total length of calls made by 11 students were as follows.

    1! "# #5 #$ 51 5# 54 55 $% !! 11%

    &a' (ind the median and )uartiles for these data. [# marks]

    &b' * +alue that is greater than ( )1## 5.1 QQQ + or smaller than ( )1#1 5.1 QQQ is defined asan outlier. how that 11% is the only outlier. [" marks]

    &c' -sing a graph paper, draw the boxandwhisker plot showing all the information in parts &a'

    and &b'. [# marks]

    2 he table shows the probability of a discrete random +ariableX.

    X % 1 " #

    ( )xXP = %." a b %."5

    &a' /i+en that ( ) 55.1=XE , find the +alue of aand b. [4 marks]

    &b' 0alculate ( )XVar . [# marks]

    3 he random +ariableXis assumed to ha+e a probability density functionf, where

    ( )

    = otherwise

    xx

    xf,%

    $%,

    1

    1

    &a' how that ( ) ( )""#$

    1abbxaP = for $% ba . [4 marks]

    &b' 0alculate the median ofX. [# marks]

    4 * consumer association intends to study the relationship between rental rate of standard room and

    ser+ice )uality of eight hotels in a city. he data obtained are shown in the table below.

    2otel A B C D E F G H

    3ental rate of a standardroom &3'

    1% 1$% 1#% 15% "1% 14% 1% "5%

    3anking by )uality # ! 5 4 $ 1 "

    0alculate pearman6s rank correlation coefficient. 0omment on your answer. [5 marks]

    STPM5%7# [Turn over

    8his )uestion paper is 09:(I;

  • 7/21/2019 Ujian Pra Pentaksiran Prestasi STPM 2014 Semester 2

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    CONFIDENTIAL*

    he )uarterly sales and the centered mo+ing a+erage for a beauty product o+er the past three yearsare as follows>

    ?ear @uarter ales

    &3 million'0entered mo+ing a+erage

    1

    1 #" "

    # 1 #."5%

    4 5 4.%%%

    "

    1 ! 4.5%%

    " 4 5.!5

    # # !.#!5

    4 14 !.$"5

    #

    1 1% !.!5%

    " # .5%%

    # 5

    4 1

    &a' Alot the abo+e data as a time series. 0omment on the trend and seasonal components.[4 marks]

    &b' -sing a multiplicati+e model, calculate the seasonal indices for the four )uarters. [4 marks]

    &c' tate the )uarter which has the largest seasonal effect. [1 mark]

    ! he number of pensx&in thousand' produced by a factory and the total cost of production &in

    thousand 3' for "% consecuti+e days are recorded. he results obtained ate summarised as

    follows>

    = %%.1!$x , = %%.4%% , %%.1!%"= x , %%.15%

    "= , = "%.#!%%x .

    &a' 0alculate the Aearson correlation coefficient between the number of pens produced and thetotal cost. Interpret your answer. [4 marks]

    &b' (ind the e)uation of the least s)uares regression line of the total cost on the number of pens

    produced. [# marks]&c'

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    CONFIDENTIAL*

    Section "[15 marks]

    Answer anonequestion in this section.

    # he number of luxury cars sold for each )uarter by a company and their coded )uartersxfor aduration of four years are shown in the table below.

    Year Quarter Coded quarter $x% Number of cars $y%

    "%%5

    1 1 1%

    " " 14

    # # 11

    4 4 "1

    "%%$

    1 5 11

    " $ 1$

    # ! 1%

    4 ""

    "%%!

    1 14

    " 1% 1

    # 11 1#

    4 1" ""

    "%%

    1 1# 1#

    " 14 1$

    # 15

    4 1$ "5

    &a' Alot the data as a time series. [# marks]

    &b' 0omment on the pattern of the time series that you ha+e plotted in &a'. [1 mark]&c' -sing an additi+e model, find the adBusted seasonal +ariation for each of the four )uarters.

    Crite down your answers correct to three decimal places. [5 marks]&d' 2ence, use the least s)uares method to fit a trend line to the seasonally adBusted time series

    and predict the number of luxury cars sold for the fourth )uarter of "%%. [$ marks]

    & r. an works fi+e days a week and he takes either a bus, a commuter or a taxi to his office. he

    probability that he takes a taxi is %."% and the probability that he takes a commuter is %.5%. he

    probabilities that he will arri+e late at his office if he takes a bus, a commuter, or a taxi are %.#%,%.1% and %.15 respecti+ely.

    &a' (ind the probability that r. an will arri+e late at his office on any gi+en day. [# marks]&b' r. an arri+es late at his office on a gi+en day. determine the mode of transport that he is

    likely to take. gi+e a reason for your answer. [4 marks]

    &c' ;etermine the probability that in a gi+en week, r. an arri+es late at his office on alternate

    days. [4 marks]&d' ;etermine whether the e+ents Dr. an arri+e late at his officeD and Dr. an take a bus to his

    officeD are independent.

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    CONFIDENTIAL*

    END OF '(ESTIONS

    STPM5%7# [Turn over

    8his )uestion paper is 09:(I;