quantitative methods assignment sem 1

7/23/2019 Quantitative Methods Assignment SEM 1

1/19

Apartment Online

Sources

Price per

sqft (RM)

Mean Median Variance Standard

Deviation

Sutera

Apartment

I Property 33!"" 33# 33$ 3 %

3&$!$'

33!$#

33&!$%

Property

uru

&*"!$ &*' &** &%" *%

&3%!3$

&"%!#%

Muda+ &*"!#& * &3$ *##* 3'

&'%!"

&"!"

&$!#"

Pretend to be a property investment consultant and obtain dataon apartment sales price in Kajang or Semenyih area. The sales

price should come from at least four different sub-areas of Kajang

or Semenyih.

Taman Kajang Utama

Apartmen

t

Online

Sources

Price per

sqft (RM)


Deviatio

n

Seraya

Apartmen

t

I Property &*$! &*& &*3 &% $

&*$!

&"$!*%

&*"!#*

Property uru &*"!$3 &3$ &3$ #"' &"&3$!""

&%"!""

&3$!""

Muda+ 3#"!"" &3 &%3 &3' #

&$3!""

&3!%'

&&$!""

1


2/19

Apartment Online

Sources

Price per

sqft (RM)


Deviation

,emara

Apartment

I Property &!** && &'" &3 &

&'"!""

!*&

Property

uru

"!"" * * 3%$% %*

&$!3

*3!'"

*$3!*&

Muda+ &%'!#& $ &$" %3$ &$

&!&

&$!3

&*"!$3

2


3/19

,ondo Mean Median Variance Standard

DeviationSutera &%'!# &$!# 3&$!& $

Seraya &3!$ &3" $$ $"

,emara &3#!' &!& *#%# 3'!&

Sutera Seraya Cemara210

220

230

240

250

260

270

280

268.4

240235

259.4

230

242.2

Kajang Utama

Mean Median

Sutera Seraya Cemara

0

500

1000

1500

2000

2500

3000

3500 3259

2455

1464

57 50 38.2

Kajang UTAMA

Variance Standard Deviation

3


4/19

Taman Sepakat Indah

Apartment OnlineSources

Priceper

sqft

(RM)

Mean Median Variance

StandardDeviatio

n

Sri Ros I Property &&" &3#!$ &3% *&*!% **!"3

&33

%

&3

Property

uru

&*!3# &3"!# &3"!# &&!% *$!*%

!$

&*!3#

!$

Muda+ &!3% &&"!'& &*%!*' 3#!"& *'!%'

&"'

$!'

&"$!*3

Apartment Online

Sources

Price per

sqft (RM)


Deviatio

n

Sri cempa-a

I Property &' '!$' &"!$ ''! 3!#

3"$

&'3

*"'!3$

Property

uru

&'3!% &%$!* &3!*% &33" #'!&%

&""

&%&!%3

3*#!"'

Prop.all &'# &$' &3 *$" 3'!'

&""

&

&%

4


5/19

Apartment Online

Sources

Price per

sqft (RM)


Deviation

Sri Ria I Property "!33 &$*!#" &$!&' '&%!#" &'!$

&*$!

!3

!3

Property

uru

&'$!* &%"!# &%%!%& &!%# &%!

&$

&$'!&

Muda+ &!$# & &"!" $"!#3 &3!''

&%!$"

3&!%

&'&!&%

5


6/19

Apartment Mean Median Variance Standard

Deviation

Sri Ros &&'!% &&'!%' && *$

Sri ,empa-a &%$!* &$!% &3&!$ #'!&%

Sri Ria &%!* &$ *""*!3& 3*!%#

Sri Ro Sri Cem!a"a Sri Ria0

50

100

150200

250

300

229

265.1 270

229

276 275

TAMAN SEPAKAT INDAH

Mean Median

6


7/19

Sri Ro Sri Cem!a"a Sri Ria0

500

1000

1500

2000

2500

227

2330

1001

15 48.2 32

Taman Sepakat indah

Variance Standard Deviance

Sungai ong

Apartmen

t

Online

Sources

Price

per

sqft

(RM)

Mean Median Varianc

e

Standard

Deviatio

n

reen

Acre

Prop.all #33 3%!$ 3'$ $'#!& !*

3'#

3'%

3'#

Property

uru

###!%% #!$3 $"%!& *$!3% 3!"#

$3*!%&

#&!"

$&*!#

I property #$&!$ ##3!%' ##'!%& *"!$ *3!"%

###!%%

#!"

#$&!$

Apartmen

t

Online

Sources

Price per

sqft (RM)

Mean Median Varianc

e

Standard

Deviatio

n

/orest

reen

Prop.all #3# #&!&$ #%%!% *$*%!&$ 3'!#

$&&

#$"

#'3

Property 3$%!% 3'!## 3*!3% #&"&!3$ %#!'3

3'3!"'

7


8/19

uru

3$!%#

##!"

Ipropert

y

#%*!$# #!$" #'3!# *3&$!#$ 3%!#*

#33!%3

$"!3

$"$!#3

Apartmen

t

Online

Sources

Price per

sqft (RM)


Deviatio

n

/lora

0reen

Prop.all #%" #$$ #%3!$ $&!% &3!3

#&"

#3

#%

Muda+ 3'!3% 3'3!$3 3'#!%' #%!#* %!'*

3

3'"

3"!

I Property #"&!%3 ##$!# #$#!#3 $#!&* 3"!'

#%3!*$

#&!&&

##$!*

8


9/19


Deviation

reen Ace ##$!' ###!%% * #!

/orest reen ##!#" #$$! 33#& $!'*

/lora reen #&'!# #3&!'$$ *$"% 3'!'

#reen $ce %oret #reen %&ora #reen410

415

420

425

430

435

440

445

450

455

460

446449.4

428.4

445

456

433

Sungai Long

Mean Median

9


10/19

#reen $ce %oret #reen %&ora #reen0

500

1000

1500

2000

2500

3000

35004000

2471

3342

1506

50 58 39

Sungai Long


Taman Sri Kejora

Apartment Online

Sources

Price per

sqft (RM)


Deviatio

n

Sri ,amellia I property #*3! 33!*%$ 3'!*#

$

*"$"!3

#

*"&!$*

3#&!$

#''!3

'

Property

uru

&*!"% &3"!#&

$

&*!**

$

$*3!$$ &&!%%

&%#!#&

&*!"%

&*!*

Prop.all $'# #'&!$ #%3!$ $'$ %!$#

#&'#

#*

Apartmen

t

Online

Sources

Price per

sqft (RM)


Deviation

Sri

1avender

I Property & &'*!*&&

$

&%!#

$

*#!"' *&!&"

&$

&'!#&&

10


11/19

Property

uru

&3!&3 &$!3 &$'!3 $"!$& &3!''

&'!#

&!$*

&3#!33

Prop.all " &*!&$ &'!$ #$#!&$ &*!3*

&'

&

&''

Apartment Online

Sources

Price per

sqft (RM)


Deviatio

nSri I2ora I Property &" &!$ 3"* $"!* !*3

3""

3"&

3"

Property

uru

&%&!%$ &'!#$&

$

&''!#&

$

#&$!3' &"!%&

3*"!3*

&'"!*%

&%!%

Prop.all 3" &*!&$ &'!$ %!&$ &!$

3"&3"&

3"&

11


12/19


DeviationSri ,amelia 3%&!"3 3'!*$ *%& *&!3

Sri 1avender &%!% &!% # &*&

Sri I2ora &%!'& 3"& *'& *3!#

12


13/19

Sri Came&ia Sri 'avender Sri ()ora0

50

100

150

200

250

300

350400

Taman Sri Kejora

Mean Median

Sri Came&ia Sri 'avender Sri ()ora0

2000

4000

6000

8000

1000012000

14000

16000

18000 16224

424 182127.3 212 13.4

Taman Sri Kejora


Statistics for Sub !reas of Kajang

Su Area of4a5an0

Mean Median Variance StandardDeviance

6aman

4a5an0

7tama

!$$ *!"$$ #"!& #!3

6aman

Sepa-at

Inda+

&$& &$&!* $% $!#

6aman Sri

4e5ora

3"!$ &' *""'3" 3*!$

Sun0ai 1on0 ##*!&% ##$!* *3" ###!*

13


14/19

050

100150200250300350400450500

248 252 310

441.2

241 252.1 289

445.19

Sub Areas o Kajang

Mean Median

050000

100000

150000

200000

250000

2440.2 5699

100830

197307

49.39 75.4 318 444.1

Sub Areas o Kajang


Sample "alculation

6aman 4a5an0 7tama

Sutera Apartment

I Property

14


15/19

Mean of sample x=1334.68

4

x=334

Median of sample 8 3393&$!$'933!$#933&!$%

Median 8 33#!'

Variance of sample 8

s2=

(337333.67)2+ (325.58333.67 )2+(339.54333.67 )2+(332.56333.67 )2

41

s2=37

Standard Deviation of Sample

s8 37

s8 %!"'

Property #uru

15


16/19

Mean of sample x=1334.68

4

x=33

Median of sample 8&*"!$9&3%!3$9&"%!$%

Median 8 &*"!$


s2=

(210.95218)2+(236.3218 )2+(207218)2

31

s2=260


s8 260

s8 *%!*&

$udah

16


17/19

Mean of sample x=965

4

x=241.24

Median of sample 8&*"!#&9 &'%!"9 &"!"9 &$!#

Median 8 &3$


s2=

(210.42241.24)2+ (286.07241.24 )2+ (209.07241.24 )2+ (259.4241.24 )2

41

s2=1441


s8 1441

s8 3'

17


18/19

!s a property investment consultant% in &hat &ay do you think

your calculations and'or graphical representations may be useful

or helpful for property investors or those looking for a home(

6+is report aims to investi0ate t+e apartment sales price in 4a5an0 for

oservation of prospective property investments! 6+e four su areas t+at

.ere surveyed for data includes9 4a5an0 7tama9 Sun0ai 1on09 Sepa-at

Inda+9 and 6aman Sri 4e5ora!

Data .as collected t+rou0+ means of t.o statistical met+ods! /irstly9

descriptive statistics met+od .+ic+ is represented t+rou0+ t+e numerical

values of mean and median! 6+e second met+od standard deviationcalculation represented y t+e variance and standard deviation!

6+e data collected aove +elps a property investor in many .ays!

/or starters t+e su areas pic-ed under 4a5an0 are strate0ic locations

located neary important amenities suc+ as +ospitals9 sc+ools9 0rocery

stores and most importantly pulic transportation!

6+e :mean; data collected s+o.s t+e avera0e price for t+e 0iven sample!


19/19

Reference List

1. Investopedia [online] available at

http://www.investopedia.com/terms/s/standarddeviation.asp

[23 Novemeber 21!]

2. Investopedia [online] available at

http://www.investopedia.com/terms/v/variance.asp

[23 November 21!]

)*I*+ ,+S)U,"+S

+ttp=>>...!property0uru!com!my

+ttp=>>...!prop.all!my

+ttp=>>...!iproperty!com!my

+ttp=>>...!muda+!my
http://www.investopedia.com/terms/s/standarddeviation.asphttp://www.investopedia.com/terms/v/variance.asphttp://www.propertyguru.com.my/http://www.propwall.my/http://www.iproperty.com.my/http://www.mudah.my/http://www.investopedia.com/terms/v/variance.asphttp://www.propertyguru.com.my/http://www.propwall.my/http://www.iproperty.com.my/http://www.mudah.my/http://www.investopedia.com/terms/s/standarddeviation.asp

quantitative methods assignment sem 1

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