• Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month

Rollercoasters. I will use the rollercoaster database to answer the following question: Is it true that the fastest rides are the most exciting?

Extracts from this document...

Introduction

Mathematical Enquiry

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:

  1. Faster rides are the most exciting.
  2. There is a relationship between the max speed of rollercoaster’s and their thrill factor, although the correlation is not consistent.
  3. 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.

...read more.

Middle

1

No, I don’t

The results of the questionnaire indicate that 75% of people believe that the fastest rides are the most exciting. Only 5% thought that there was no relationship and 20% of people were undecided. I would therefore expect the fastest rides to be the most exciting.

On the following page you can see the copy of the World Roller Coasters Database.

Roller Coaster

Max Speed

Thrill Factor

(km/h)

out of 10

Top Thrill Dragster

193.1

10

Dodonpa

172

10

Tower of Terror

160.9

9

Steel Dragon 2000

152.9

9

Millenium Force

149.7

9

Xcelerator

132

9

Thunder Dolphin

130

8

Fujiyama

130

8

Unknown

128.7

8

...read more.

Conclusion

I feel that the sample I used was large enough to represent the population because 60% of the data was used. This provided sufficient results, as well as being practical and manageable. The data I collected was a very accurate representative of the population of the data table, as the random sample ensures that each member (piece of data) in the population (data table) has an equal chance of being selected.

The results of my findings were exactly as I had predicted, so I did not need to change or add to my hypothesis in any way. If the investigation was repeated y somebody else, I would expect the results to be the same, as the people in the questionnaire generally agreed with my prediction. If I were to carry out the investigation again, I think I would try and incorporate more questions into the hypotheses, such as “are the oldest rides the slowest?” or “are the most recent rides the most exciting?”

If somebody else was to read my report, I think they would find it relatively easy to understand my hypotheses, experiments, data collections, calculations and results. I feel that the mean calculation was irrelevant to the investigation as it did not effect my conclusions in any way.

...read more.

This student written piece of work is one of many that can be found in our GCSE Miscellaneous section.

Found what you're looking for?

  • Start learning 29% faster today
  • 150,000+ documents available
  • Just £6.99 a month

Not the one? Search for your essay title...
  • Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month

See related essaysSee related essays

Related GCSE Miscellaneous essays

  1. For our GCSE statistics coursework, we were given the question Where are houses most ...

    the internet, the reason for collecting secondary data is that there is not enough time to collect to collect primary data and also because secondary data from is reliable as well as up to date. I used several websites one being www.postcode-info.co.uk/find-a-postcode.html, this website gave the postcodes for specific counties,

  2. Maths Statistics Coursework

    Again this is unusual, but what it does tell us is that, ignoring the highest and lowest values, ability does not have a great effect on overall consistency of the estimates, apart from in KS3 where there is less overall consistency in the lower band.

  1. The relationship between level of parental education and SAT scores

    320 484 616 547 590 Degrees of freedom: 4 Test Statistic, : 10.9515 Critical: 9.48772 P-value: 0.0271 Reject the Null Hypothesis Data provides evidence that the rows and columns are related Statdisk The hypothesis testing of the critical reading scores and their parental education concluded that it provides enough evidence

  2. The investigative task. Do housewives or working adults have a faster working pulse rate?

    Here is a table showing my collected results: The average Bpm for this table is average:80bpm This is quantitative data and also primary data as I collected all the data myself.

  1. The aim of the project is to investigate the correlation between multiple sets of ...

    Adding trend lines and calculating the R squared value can add further depth to this conclusion: Exponential: Logarithmic: Power: All 3 graphs show a general downward curve. Like the other 2 unedited graphs, the above graph is disproportional and therefore unreliable unless the values are mutliplied using the correct ratio's to make the data fair.

  2. Mathematics Handling Data Coursework: How well can you estimate length?

    Frequency (f) Mid-Point (x) fx fx� 1.0 ? l ? 1.1 1 1.05 1.05 1.1025 1.1 ? l ? 1.2 1 1.15 1.15 1.3225 1.2 ? l ? 1.3 4 1.25 5 6.25 1.3 ?

  1. Data Handling

    Once again this shows that my hypothesises is correct, showing that people who have a lower BMI are fitter as they have a lower mean resting rate i.e. Normal 18.6 - 25 has an average mean resting rate of 71.

  2. Statistics coursework. My first hypothesis is that people with a smaller hand span ...

    14.7 05.07.88 22.0 Male 09 14.0 19.0 14.0 15.7 26.10.87 21.0 Male 10 19.5 14.5 11.5 15.2 06.04.88 20.0 Male 11 10.0 13.0 15.0 12.7 17.10.87 09.5 Male 12 18.0 18.0 16.0 17.3 09.03.88 22.0 Male 13 18.5 13.5 19.0 17.0 04.03.88 20.0 Male 14 23.0 26.0 24.0 24.3 18.02.88

  • Over 160,000 pieces
    of student written work
  • Annotated by
    experienced teachers
  • Ideas and feedback to
    improve your own work