21
Nov
10

predictable – part 2

I would imagine that the vast majority of Brits who will brave the shocking exchange rate to get to Brisbane this week will take at most five forms of transport from their front door to get to Queensland. Maybe a taxi or a train to the airport from home, followed by a couple of long haul flights and then a bus to the hostel or hotel on arrival in OZ. Since leaving my adopted home address in Bristol back on October 3rd, I have naturally managed several more legs to get to Australia. Predictably, here is one of those number based league style ranking systems that I promised would appear from time to time –

1 Hitchhike – saved in Brunei, thanks to Malaysian Nancy
2 Train – overnighters, from Bangkok and KL
3 Monorails – countless air con rides through Bangkok, KL and Singapore
4 Leeches – left on my legs after the Khao Sok escape
5 Scooter – passengers crammed on one bike, spotted in Cambodia and captured on camera in Jakarta
6 Passport- stamps in 24 hours. KL, Brunei, Sarawak, Sabah; stamps in and out of Brunei and Sarawak
7 Ferry – journeys, the best being the only westerners going to Sumatra
8 Countries – visited so far, counting Sarawak and Sabah as Borneo
9 Weeks – without shaving, if I hold off till after the Gabba test
10 Flights – including two booked in Indonesia by turning up at the airport
11 Nights – with Fred. Top times in Thailand and Cambodia
12 Bed dorm- the biggest and best, Nappark in Bangkok
13 Frames – of pool lost to Basingstoke Pat in Jakarta
14 Pound – the most I’ve paid for a nights accomodation, in Phnom Penh
15 Hours – drinking with Pat and Winslow on our arrival in Gili
16 Cigarettes – the average amount of fags smoked by an Indonesian male on a Sumatran bus ride
17 Times – minimum that i’ve been accused of being Australian
18 Holes – of golf played in Langkawi and Batam
19 Places – that are different that have seen me rest my head for the night
20 Brunei – dollars that I cannot get changed

And……

27 Bus – and minivan journeys
112 Shots – to go round Gunung Raya golf course in Langkawi
136 Days – left travelling the world. Until the next time, of course….
180 Minutes – spent wide awake, thanks to the local Bukittinggi mosque 4am service
282 Meters – up in the air. Menara Sky Tower, KL – the best place I have ever had a cup of tea
500 Singapore – dollars. The fine for eating or drinking on the spotless Monorail
1,100 Pictures – taken and saved on my harddrive
2,123 Blog – views
13,435 Feet – destroyed in getting to the top of Mount Kinabalu
27,359 Words – blogged so far. All locked in on my now expired Microsoft Word 2007 trail version
Countless – people waved and smile at, drinks drank, taxi rides taken plus oasis albums listened too!

*Stats are inclusive of the forthcoming final leg in getting to Oz*

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2 Responses to “predictable – part 2”


  1. 1 Donna
    November 21, 2010 at 9:00 am

    Statistics in everyday life! What a great and fun read Rich! Thank you that’s some going! I get a sense you are already thinking of doing more traveling after this stint! You using continuous and discrete data to provide a statistical summary of your lived experience, I loved it! And feel this is the only opportunity I may ever get to quote to a minute part of my last excruciatingly painful multi level modelling class assignment!

    “The null hypothesis was rejected. A linear regression analysis was conducted to find out to what extent music performance can be predicted by mathematics performance using data from 360 school students’ music and mathematics examination results.. There is a strong, positive, significant linear relationship between maths and music and this enabled a linear regression to be conducted to ascertain a model that describes to what extent music performance is predicted by math performance, on the basis of knowledge about mathematic performance. The regression equation for predicting music performance is (Y’) = 2.62 + (.92X) where X is an individuals mathematic score and Y’ is the best prediction of their score’ (Acton and Miller, 2009: 212). If the predictor variable (maths) changes by one unit then our model predicts a 0.92 change in music units. Measures of genuine effect sizes for the outcome variable might be described moderate and the for the predictor variable as significant” (Kemp, 2010, Multivariate Statistics Spring Assignment). Images of the graphing of this data are available on request to the author!!!!!!!!!!!!!! HA HA…

  2. 2 Martin Chapple
    November 22, 2010 at 6:48 am

    1 – astounding bloke!


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