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Rollercoaster research

Rollercoaster research

Rollercoaster research

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Recommended: Rollercoaster research

Statistical Investigation into Rollercoaster Data

I am going to be completing a statistical investigation from some

collected data. This will be obtained from a World Rollercoaster

Database. The information that can be seen from the database about an

individual rollercoaster is: which country designed it, when it

opened, its height, its length, its max speed, the ride time, and the

thrill factor out of 10. I am going to investigate whether the fastest

rides are the most exciting. I would like to answer this question

during the course of the investigation.

Hypothesis

I will use the rollercoaster database to answer the following

question:

“Is it true that the fastest rides are the most exciting?”

The aim of the investigation is to answer this question.

Here is a list of possible hypotheses:

a) Faster rides are the most exciting.

b) There is a relationship between the max speed of rollercoaster’s

and their thrill factor, although the correlation is not consistent.

c) Faster rides are not necessarily the most exciting.

I think that faster rides tend to be more thrilling and daring, so

therefore more exciting. For this reason, I believe that hypothesis a)

is correct. Prior to collecting the results, I will create a

questionnaire to give to people on their thoughts of this prediction.

I will need to collect data for max speed (km/h) and the thrill factor

out of 10 for a selected rollercoaster. This is quantitative data as

it is numerical. The data will be useful because I will be able to use

it to answer the question – I can compare the max speed of the

rollercoaster with the thrill factor. I will collect a sample of 30,

so that I can obtain a decent, yet manageable amount of data. I feel

that this sample number will be efficient, as I will collect enough

results to hopefully get a non-biased answer.

I will need to take a sample from the population, which is a list of

all the rollercoasters. The aim is to choose the sample without bias,

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