# QUANTITATIVE METHODS – UNIT 1 – STATISTICS ASSIGNMENT BRIEF

ASCENTIS Access to HE Diploma

QUANTITATIVE METHODS – UNIT 1 – STATISTICS ASSIGNMENT BRIEF

Unit

QUANTITATIVE

METHODS Unit 1

Assignment Title

Quantitative

Methods Unit 1 – Statistics Project

Submission Date

Week

commencing Monday 6th January 2014

Word Count

n/a

Assignment Requirements

Compare property prices in two areas of

your choice

Collect your own data (min 50 prices from each area). You should quote your data collection source

and data collection methodology in your final report.

State a hypothesis ( e.g. “My hypothesis is that property is

more expensive in than in .”).

Analyse your data by performing statistical calculations and

using diagrams and charts.

Include written comments to explain and interpret your

results/diagrams.

You may use computer software if you wish.

Written

comments

Written comments are in relation to interpreting

the data, calculations and diagrams. These should be on-going throughout the

assignment to describe to the reader the meaning of the various calculations

and diagrams.

This is

VERY IMPORTANT!

Comments

on appropriate use of measurements

Compare:

v

Measures of average – mean,

median, mode. Which of these give a useful measure of average for your data?

Why?

v

Measures of spread – range, inter

– quartile range, standard deviation. Which of these are useful measures of the

spread for your data? Why?

Discussion

and observations

Comment on:

v

Types of property in each area.

Are types similar for each area?

v

Prices. Are there any particularly

high or low values?

v

Averages, measures of spread

Comparisons

made

v

Compare average house prices

(mean, median and mode) for each area. What do the averages suggest to you?

v

Compare spreads (range,

interquartile range, standard deviation) of house prices in each area. What do

these measurements suggest to you?

v

You could include a table e.g.

Watland

Trecklington

Mean

£50 000

£67 500

Median

£45 000

£66 240

Mode

£35 000

£51 000

Comment

whether hypothesis supported/not

State clearly e.g.

‘The

hypothesis is supported’or ‘The hypothesis is not supported’

How

supported/not and Conclusion drawn

v

State how your hypothesis is

supported, giving evidence and examples.

v Make sure

that you state your conclusion

Evaluative comments /Improvements suggested

Comment on any possible improvements. e.g.

‘Improvements could be made by

v

Taking a

larger sample from each area

v

Collecting

data from a wider range of sources e.g. estate agents, newspapers, property

magazines, internet

v

Collecting

data over a longer period of time

v

Comparing

more similar types of property from each area

ritten comments are in relation to interpreting the

data, calculations and diagrams. These should be on-going throughout the

assignment to describe to the reader the meaning of the various calculations

and diagrams.

This is

VERY IMPORTANT!

Comments

on appropriate use of measurements

Compare:

v

Measures of average – mean,

median, mode. Which of these give a useful measure of average for your data?

Why?

v

Measures of spread – range, inter

– quartile range, standard deviation. Which of these are useful measures of the

spread for your data? Why?

Discussion

and observations

Comment on:

v

Types of property in each area.

Are types similar for each area?

v

Prices. Are there any

particularly high or low values?

v

Averages, measures of spread

Comparisons

made

v

Compare average house prices

(mean, median and mode) for each area. What do the averages suggest to you?

v

Compare spreads (range,

interquartile range, standard deviation) of house prices in each area. What do

these measurements suggest to you?

v

You could include a table e.g.

Watland

Trecklington

Mean

£50 000

£67 500

Median

£45 000

£66 240

Mode

£35 000

£51 000

Comment

whether hypothesis supported/not

State clearly e.g.

‘The

hypothesis is supported’or ‘The hypothesis is not supported’

How

supported/not and Conclusion drawn

v

State how your hypothesis is

supported, giving evidence and examples.

v Make sure

that you state your conclusion

Evaluative comments /Improvements suggested

Comment on any possible improvements. e.g.

‘Improvements could be made by

v

Taking a

larger sample from each area

v

Collecting

data from a wider range of sources e.g. estate agents, newspapers, property

magazines, internet

v

Collecting

data over a longer period of time

v

Comparing

more similar types of property from each area

QUANTITATIVE

METHODS

UNIT 1 STATISTICS PROJECT

CHECKLIST

Assessment Criteria

INTRODUCTION

Hypothesis

4.1

Method

of data collection

4.1/5.2

Description

of two study areas

5.2

Comments

on use of measures/tables/graphs

5.1/5.2/7.1

PRESENTATION OF DATA

Tally chart

4.2/5.1/7.1/7.2

Frequency table

4.2/5.1/6.1/6.2/7.1/7.2

Bar chart

4.2/5.1/7.1/7.2

Pie chart (show sector angle calculations)

4.2/5.1/6.1/7.1/7.2

Histogram

4.2/5.1/7.1/7.2

Cumulative frequency graph

4.2/5.1/6.2/7.1/7.2

ANALYSIS OF DATA

Measures of Average

Est. Mean calculated from frequency table

4.3/6.1/7.2

Est Median or Modal/Median Class from frequency table

4.3/6.1/7.2

Est

Median from cumulative frequency graph

4.3/6.2/7.2

Actual

Mean, Median (and Modes) from raw data

4.3

Measures

of Dispersion

Range

from raw data

4.3/6.1/7.2

Est.

Standard deviation calculated from frequency table

4.3/6.1/7.2

IQR

estimated from cumulative frequency graph

4.3/6.1/7.2

INTERPRETATION OF DATA & CONCLUSION

Spread

Sheet of Results (show results side by side)

6.2/7.2

Hypothesis

supported/not supported

7.3

Improvements

suggested

5.2

Conclusion

drawn

7.2/7.3