Assignment:
Tasks:
• Decide on an issue that you wish to investigate and obtain the sample data that you will use.
• Decide on 5 questions (in everyday English) that you wish to answer.
• For each quantitative variable use Excel to analyse your data by
o plotting the data graphically
o calculating the summary statistics
Report
Introduce your data, questions and the results of your preliminary investigations as a brief report, memo or part of a research proposal. This should be a maximum of 2 pages and 500 words.
The report should include the following:
Introduction
Introduce your data, sample and questions. In particular, clearly describe the population and sample.
Questions
List your five questions make sure that these relate to the population and not the sample. These may be presented as bullet points.
Interpretation
A brief interpretation of the graph/s and summary statistics, in particular;
• What do the values of the mean and standard deviation tell you about the centre and variability of your data?
• Does your data appear to be normal?
|
|
Real Estate Information |
|
|
|
Asking Price |
Selling Price |
Bedrooms |
Bathrooms |
Garage/cars |
Location |
Type |
338000 |
318000 |
1 |
1 |
2 |
Town |
Unit |
486000 |
483000 |
3 |
2 |
2 |
Town |
House |
493000 |
489000 |
4 |
2 |
2 |
Town |
House |
324000 |
291000 |
1 |
1 |
2 |
Town |
Unit |
425000 |
410000 |
4 |
1 |
1 |
Rural |
House |
411000 |
400000 |
3 |
1 |
1 |
Town |
House |
384000 |
348000 |
3 |
1 |
1 |
Rural |
House |
405000 |
398000 |
2 |
1 |
1 |
Town |
Unit |
537000 |
535000 |
1 |
1 |
4 |
Rural |
House |
658000 |
621000 |
2 |
1 |
1 |
Rural |
House |
460000 |
460000 |
3 |
1 |
2 |
Rural |
House |
424000 |
418000 |
3 |
1 |
1 |
Town |
House |
435000 |
435000 |
3 |
1 |
1 |
Town |
House |
524000 |
508000 |
5 |
2 |
1 |
Rural |
House |
415000 |
410000 |
3 |
1 |
1 |
Town |
House |
363000 |
328000 |
3 |
1 |
1 |
Rural |
House |
396000 |
394000 |
2 |
1 |
1 |
Town |
Unit |
477000 |
466000 |
4 |
1 |
2 |
Town |
House |
405000 |
398000 |
2 |
1 |
1 |
Town |
Unit |
451000 |
423000 |
3 |
1 |
0 |
Town |
House |
329000 |
321000 |
4 |
1 |
0 |
Rural |
House |
451000 |
423000 |
3 |
1 |
1 |
Town |
House |
587000 |
550000 |
8 |
2 |
3 |
Town |
House |
362000 |
354000 |
2 |
1 |
1 |
Town |
Unit |
578000 |
565000 |
4 |
1 |
2 |
Rural |
House |
496000 |
496000 |
3 |
1 |
1 |
Town |
House |
435000 |
417000 |
3 |
2 |
1 |
Town |
House |
479000 |
457000 |
3 |
1 |
0 |
Town |
House |
446000 |
421000 |
3 |
1 |
1 |
Rural |
House |
423000 |
399000 |
2 |
1 |
1 |
Town |
Unit |
460000 |
445000 |
5 |
2 |
2 |
Town |
House |
461000 |
451000 |
3 |
1 |
2 |
Rural |
House |
516000 |
460000 |
2 |
1 |
2 |
Rural |
House |
389000 |
380000 |
3 |
1 |
2 |
Town |
House |
330000 |
322000 |
3 |
1 |
1 |
Rural |
House |
340000 |
326000 |
1 |
1 |
2 |
Town |
Unit |
361000 |
346000 |
2 |
1 |
1 |
Town |
Unit |
530000 |
515000 |
3 |
1 |
1 |
Rural |
House |
365000 |
350000 |
2 |
1 |
1 |
Town |
Unit |
480000 |
466000 |
4 |
2 |
2 |
Rural |
House |
522000 |
495000 |
4 |
1 |
2 |
Town |
House |
407000 |
398000 |
2 |
1 |
1 |
Town |
Unit |
529000 |
509000 |
3 |
2 |
1 |
Rural |
House |
319000 |
296000 |
1 |
1 |
2 |
Town |
Unit |
684000 |
680000 |
4 |
2 |
2 |
Town |
House |
607000 |
589000 |
4 |
1 |
2 |
Town |
House |
465000 |
421000 |
3 |
1 |
2 |
Rural |
House |
602000 |
600000 |
4 |
2 |
4 |
Town |
House |
512000 |
499000 |
3 |
2 |
1 |
Rural |
House |
485000 |
485000 |
4 |
2 |
1 |
Town |
House |
523000 |
504000 |
4 |
1 |
2 |
Town |
House |
629000 |
583000 |
4 |
1 |
2 |
Rural |
House |
454000 |
397000 |
3 |
1 |
2 |
Town |
House |
603000 |
548000 |
4 |
2 |
4 |
Town |
House |
412000 |
398000 |
2 |
1 |
1 |
Town |
Unit |
433000 |
405000 |
3 |
1 |
2 |
Town |
House |
475000 |
450000 |
4 |
1 |
1 |
Rural |
House |
390000 |
379000 |
3 |
1 |
1 |
Town |
House |
464000 |
462000 |
5 |
2 |
2 |
Town |
House |
354000 |
342000 |
1 |
1 |
1 |
Rural |
House |
540000 |
512000 |
3 |
2 |
1 |
Town |
House |
412000 |
320000 |
3 |
2 |
2 |
Town |
House |
397000 |
356000 |
2 |
1 |
3 |
Rural |
House |
558000 |
506000 |
3 |
1 |
1 |
Town |
House |
621000 |
586000 |
4 |
1 |
1 |
Rural |
House |
452000 |
441000 |
3 |
1 |
1 |
Town |
House |
547000 |
522000 |
4 |
1 |
1 |
Town |
House |
843000 |
790000 |
4 |
2 |
1 |
Rural |
House |
505000 |
471000 |
5 |
2 |
2 |
Town |
House |
439000 |
411000 |
3 |
1 |
1 |
Town |
House |
493000 |
459000 |
3 |
1 |
1 |
Town |
House |
383000 |
347000 |
2 |
1 |
2 |
Town |
House |
539000 |
539000 |
4 |
2 |
2 |
Town |
House |
425000 |
408000 |
3 |
1 |
0 |
Town |
House |
519000 |
481000 |
3 |
2 |
2 |
Town |
House |
461000 |
457000 |
2 |
1 |
1 |
Rural |
House |
527000 |
523000 |
4 |
1 |
1 |
Rural |
House |
676000 |
667000 |
3 |
2 |
2 |
Rural |
House |
411000 |
410000 |
3 |
2 |
1 |
Town |
Unit |
411000 |
378000 |
3 |
1 |
1 |
Rural |
House |
356000 |
331000 |
3 |
1 |
1 |
Rural |
House |
355000 |
346000 |
2 |
1 |
1 |
Town |
Unit |
624000 |
596000 |
3 |
1 |
1 |
Town |
House |
396000 |
385000 |
2 |
1 |
1 |
Town |
Unit |
386000 |
380000 |
2 |
1 |
1 |
Rural |
House |
618000 |
586000 |
4 |
2 |
4 |
Town |
House |
471000 |
449000 |
4 |
2 |
1 |
Town |
House |
511000 |
507000 |
3 |
2 |
0 |
Rural |
House |
448000 |
426000 |
4 |
1 |
1 |
Town |
House |
593000 |
582000 |
3 |
2 |
2 |
Rural |
House |
391000 |
355000 |
3 |
1 |
1 |
Town |
House |
589000 |
576000 |
3 |
2 |
1 |
Rural |
House |
326000 |
320000 |
3 |
1 |
1 |
Town |
House |
380000 |
361000 |
2 |
1 |
2 |
Town |
House |
335000 |
324000 |
3 |
1 |
1 |
Town |
House |
572000 |
553000 |
4 |
2 |
1 |
Rural |
House |
434000 |
400000 |
3 |
2 |
1 |
Town |
Unit |
548000 |
522000 |
3 |
2 |
1 |
Town |
House |
841000 |
826000 |
6 |
6 |
3 |
Town |
House |
413000 |
387000 |
2 |
1 |
1 |
Town |
Unit |