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

Are Modern Musicians Lazy: A Comparison between the Lengths of Modern and Classical Music

Extracts from this document...

Introduction

Are Modern Musicians Lazy: A Comparison between the Lengths of Modern and Classical Music Hypothesis In this project I will endeavour to find out if "Classical" Music really is longer than "Modern" music. I have always enjoyed listening to music and have quite a broad taste in music. There has been a disturbing trend recently in music for songs to be quite short. Some bands appear to write songs which last no more than 2 minutes, which is hardly even value for money (considering you pay about £14 for a CD that sometimes lasts for a mere 25 minutes). Therefore, for this project I have decided to see whether Classical Music really is longer than Modern Music, and hence, is probably better value for money. However, when phrased as it is above, the project will be far too broad for me to investigate properly, so I will have to set limits to define exactly what I am investigating. By modern music I mean all music from the past 18 years, so any music released since the year I was born up until today. This will include as wide a range of different styles as I can get my hands on, so everything from "Duran Duran" to "System of a Down" will be included. ...read more.

Middle

This will result the in the calculator displaying a number between 0 and 2000 (if the parent population is 2000). I have used that number as the track number to sample. The program then loops back and displays a different track number to choose and this repeats ad infinitum. The number it generates, however, is to a few decimal places, so I rounded the number to the nearest integer when choosing my samples. Here is a sample of results from the calculator program (where 2000 was specified as the parent population): 15.375 679.8 103.667 1729.911 1825.441 9.873 394.602 1592.719 711.828 110.158 2.861 50.193 234.123 592.098 399.912 Why this method produces perfectly randomly numbers between 1 and 2000 When the Ran# function of a calculator is inputted, the calculator returns a randomly generated decimal number between 1 and 0 (0<x<1) which is 9 digits long. When this number is multiplied by 2000, it can be seen that a number between 0 and 2000 will be generated. If, for example, a random number of 0.00598375 is generated, then 11.9675 is returned by the calculator. This I will round up to 12, and hence I will choose the 12th track from my list. Sample Size For this project to be a success, my samples have to be randomly chosen, but they also have to be of a suitable size for my sample population. ...read more.

Conclusion

741 502 657 599 558 700 615 598 530 602 554 504 681 756 517 742 488 686 603 718 552 523 398 518 526 479 690 359 436 725 612 624 384 353 663 575 657 653 523 587 477 417 827 413 661 528 509 758 696 484 608 610 632 629 466 636 478 652 808 512 485 729 686 361 569 520 742 678 536 464 627 Modern Music Track Length (in seconds) 359 196 262 225 296 412 344 366 308 226 356 248 321 164 248 173 201 232 347 279 174 110 279 207 274 221 269 347 248 245 256 262 227 323 292 340 252 171 306 232 341 203 354 356 271 358 403 204 210 257 428 401 309 397 304 100 309 289 440 329 372 389 291 239 251 192 282 206 306 167 290 317 335 247 273 369 251 170 345 226 269 266 187 221 365 470 201 392 361 200 232 208 268 309 253 316 312 323 442 250 Analysis of Data Classical Music = ?x n ?=59405/100 = 594.05s Sample variance: s2 = ?(x-)2 N = 11863.12 As an estimation of the population variance I will apply the correction factor appropriate for the use of the Central Limit Theorem. Hence: Population Variance, ?2= (n/(n-1))s2 ??=(100/99)*11863.12 =11982.9494949494 =11982.95 Modern Music =282.24sec s2=5605.558 ?2=5662.179797979797 =5662.18 ...read more.

The above preview is unformatted text

This student written piece of work is one of many that can be found in our AS and A Level Probability & Statistics 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 AS and A Level Probability & Statistics essays

  1. Probability of Poker Hands

    -------------------------- 52C5 = 13 x 6 x 220 x 64 ---------------------- 2598960 = 1098240 --------------- 2598960 = 4576 ----------- 10829 Explanation: Choosing two cards with the same face value: In a standard deck of 52 cards, there are 13 different face values with each having 4 different suits, for example, there 9?, 9?, 9?, and 9?.

  2. Development of Quantitative and Qualitative measures of Human Impact on Wimbledon Common.

    On the hand the smaller the quadrat the greater the chance of significant edge effects due to the observer consistently including individuals that ought to be excluded or vice versa. Extremely false conclusions can also be drawn see illustrations below.(diagram 3)

  1. Chebyshevs Theorem and The Empirical Rule

    the individual data, which in this case are the ages: * At least 75% of all the ages will lie in the range of . In our case this means that at least 75% of the people will have an age in the range of years which simplifies to a range of 28 to 52 years.

  2. Estimating the length of a line and the size of an angle.

    The list is arranged in the order of date of birth from biggest to smallest. Each student in the list has a number to represent them (with number one being the oldest student). They are not represented by their name this is because it is confidential information.

  1. GCSE Mathematics Coursework: Statistics Project

    Obviously, I will continue to take pupils in Year 7 until I have 13 boys and 11 girls. If, for instance, a number is generated where the pupil is female even after 11 girls have already been selected, then the number will be ignored.

  2. Investigating the Relationship Between the Amount of Money a Football Club Receives and its ...

    Within the 4 strata, the teams will be selected entirely at random using a random number generator. Using a stratified sample, I have selected the following teams to study. Premier Division - Aston Villa, Coventry City, Everton, Leicester City, Liverpool, Manchester Utd, Newcastle Utd, Nottingham Forest, Tottenham, West Ham Utd & Wimbledon.

  1. Explore and analyse an aspect of human variation.

    the population and reduce the extent of any anomalies when averages are taken. Each individual was selected by random sampling. This involved numbering people and using a random number generator to select the people to be measured. A random sampling technique was used to increase the accuracy of the investigation by removing individual bias.

  2. Explain the proposition that it does not matter to a seller which type of ...

    zero, implying the owner wants to sell the good rather than retain ownership. The owner is also risk neutral, so is only interested in the expected price from the sale. The bidders are also assumed to be risk neutral. There are N bidders who all have personal valuations of the good, which are independent from each other.

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