Analyse market data BSBMKG403A John LoftusWeek 4

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Welcome to the analysis of rich pictures

Cash Bonds Property Shares

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Contents – week 4 BSBMKG403A

(Part A)

• Practice exercises• Team presentations – task 1• Assignments before next class• Video 4 (normal distribution)• Teams commence case study –

task 2

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- Practice exercises

Berenson – problems:

3.10 (page 73)

3.11 (page 74)

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Exercise 3.10

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Product Calories Fat

Mix 59 1.5

Original 76 2.8

Cinnamon 81 2.8

Hazelnut 81 2.6

Mocha 75 2.4

Caramel 74 2.4

Latte 90 5.4

Vanilla 80 2.7

Sweet 55 2.4

Topping 62 2.8

-Exercise 3.10

SPSS output

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Statistics

10 10

0 0

73.30 2.780

75.50 2.650

81 2.4a

11.156 .9987

124.456 .997

35 3.9

55 1.5

90 5.4

733 27.8

61.25 2.400

75.50 2.650

81.00 2.800

Valid

Missing

N

Mean

Median

Mode

Std. Deviation

Variance

Range

Minimum

Maximum

Sum

25

50

75

Percentiles

Calories Fat (g)

Multiple modes exist. The smallest value is showna.

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Excel functions3.10 Calories Fat

Mean 73.3 2.78   =AVERAGE( )

Median 75.5 2.65   =MEDIAN( )

Mode 81 2.8   =MODE( )

Std Deviation 11.156 0.999   =STDEV( )

Variance 124.456 0.997   =VAR( )

Minimum 55 1.5   =MIN( )

Maximum 90 5.4   =MAX( )

Range 35 3.9    

Percentile .25 65.00 2.40   =PERCENTILE(range, .25)

Percentile .75 80.75 2.80   =PERCENTILE(range, .75)

Interquartile 15.75 0.40    

CV 15.22% 35.92%    

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X Freq Mean X - Mean S Z

55 1 73.3 -18.3 11.156 -1.64

59 1 73.3 -14.3 11.156 -1.28

62 1 73.3 -11.3 11.156 -1.01

74 1 73.3 0.7 11.156 0.06

75 1 73.3 1.7 11.156 0.15

76 1 73.3 2.7 11.156 0.24

80 1 73.3 6.7 11.156 0.60

81 2 73.3 7.7 11.156 0.69

90 1 73.3 16.7 11.156 1.50

Calories

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Fat (g)

X Freq Mean X - Mean S Z

1.5 1 2.78 -1.28 0.9987 -1.28

2.4 3 2.78 -0.38 0.9987 -0.38

2.6 1 2.78 -0.18 0.9987 -0.18

2.7 1 2.78 -0.08 0.9987 -0.08

2.8 3 2.78 0.02 0.9987 0.02

5.4 1 2.78 2.62 0.9987 2.62

Calories histogram (SPSS)

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Fat histogram (SPSS)

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Exercise 3.11

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Cameras

N   14

Mean   347.86

Median   340

Mode   340

Std. Deviation   70.07

Variance   4910.44

Range   230

Minimum   220

Maximum   450

Percentiles 25 287.50

  75 407.50

Q3-Q1   120

CV   20.14%

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Exercise 3.11

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Price (X) Freq Mean X - Mean S Z

220 1 348 -128 70 -1.8

270 1 348 -78 70 -1.1

280 1 348 -68 70 -1.0

290 1 348 -58 70 -0.8

310 1 348 -38 70 -0.5

340 3 348 -8 70 -0.1

370 1 348 22 70 0.3

380 1 348 32 70 0.5

400 1 348 52 70 0.7

430 1 348 82 70 1.2

450 2 348 102 70 1.5

Cameras

Camera price histogram (SPSS)

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Cameras

Calc

A B C D

1 x f x f (x^2) f

2 220 1 220 48400

3 270 1 270 72900

4 280 1 280 78400

5 290 1 290 84100

6 310 1 310 96100

7 340 3 1020 346800

8 370 1 370 136900

9 380 1 380 144400

10 400 1 400 160000

11 430 1 430 184900

12 450 2 900 405000

13 Totals 14 4870 1757900

14     (C13 * C13)/B13 1694064

15     (D13 - D14) 63836

16 Variance   (D15/(B13-1)) 4910

17 Sample standard dev     70.07

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Case study presentations – task 1Market size – Prepare a table and charts of retail turnover for entity “xxx” by State for the December quarter 2006:

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Reading newspaper book and stationery

Furniture furniture and floor coverings

Pharmacy pharmaceutical, cosmetic & toiletry

Hardware domestic hardware & house-ware

Takeaway food retailing

Clothing clothing retailing

Cafes cafes and restaurants

Hotels hotels and licensed clubs

Household household goods

Use ABS data 8501.0 Table 20 – a direct link is on course website

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Take-away - retail turnover

0 200 400 600 800 1000

NSW

VIC

QLD

SA

WA

TAS

NT

ACT

$Millions

Dec-2006

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Population - Australia at 30 June 2006

0 1 2 3 4 5 6 7 8

NSW

VIC

QLD

SA

WA

TAS

NT

ACT

Million

Population

Assignments before next class

• Read chapter 3 of text – Berenson• Complete case study 2• Use resources on the course website• Complete the following problems

– 3.18 (page 75)– 3.24 (page 79)– 3.38 (page 91)– 3.39 (page 91)

• Start thinking about marketing plan project

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Marketing plan project

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Use ABS data 8501.0 Table 20 and ABS 3101.0 Table 4

This is an individual assignment

Assume the position of a marketing manager of a business organisation competing as a retailer of entity “xxx”, in all States of Australia.

Using your analysis from previous activities, develop a marketing plan that satisfies all requirements specified in your course outline – especially the requirement defined on pages 4 and 5 of your unit outline.

- Video

(5)

Normal distribution

calculations

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Commence case study – task 2

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Case study presentations – task 2

Population trend – prepare table and chart of population data for each State of Australia:

• at quarterly intervals from 1 July 2001 to 30 June 2006

• Forecast by extrapolating the quarterly trend to 30 June 2007, using the least-squares linear regression model

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Use ABS 3101.0 Table 4

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