Ce diaporama a bien été signalé.
Nous utilisons votre profil LinkedIn et vos données d’activité pour vous proposer des publicités personnalisées et pertinentes. Vous pouvez changer vos préférences de publicités à tout moment.
Stage 4:
Description,
Analysis and
Interpretation
Primary Data
Environmental Quality Assessment
Describe and justify how you used measurements of Central Tendency
(averages...
Outer Suburbs - Quinton   Inner Suburbs - Ladywood
   
Measurement Value Measurement Value  
Mean 9 Mean -18  
Median 7   ...
Describe and Justify the use of Inter-Quartile Range  (IQR) data
Qunton LQ 4
Ladywoood UQ -12
 By comparing the level of ...
• As the upper quartile for Ladywood’s Environmental Quality Score is below the
lower quartile for Quinton, it can be said...
Describe and Justify the use of the Mann Whitney U Test.
 A Mann Whitney U Test will determine to a level of confidence
(...
p value Interpretation
>0.05 The result of the test is not significant
<0.05 With greater than 95% confidence the result i...
Census Data
Summarise what the bar charts showed in terms of socio-economic indicators?
• For all of the indicators of wea...
Police Crime Data
Describe and justify how you used measurements of Central Tendency ( averages) to analyse your data.
Wha...
Step 4.
Phew !
Another section
complete
Fieldwork 2015     data analysis stage
Fieldwork 2015     data analysis stage
Fieldwork 2015     data analysis stage
Prochain SlideShare
Chargement dans…5
×

Fieldwork 2015 data analysis stage

  • Soyez le premier à commenter

Fieldwork 2015 data analysis stage

  1. 1. Stage 4: Description, Analysis and Interpretation
  2. 2. Primary Data Environmental Quality Assessment Describe and justify how you used measurements of Central Tendency (averages) to analyse your data.  Using Excel measurements of mean and median Environmental Quality Scores were calculated (see next slide) These measurement provide a typical Environmental Quality Score value for each location and can be used as an initial comparison point
  3. 3. Outer Suburbs - Quinton   Inner Suburbs - Ladywood     Measurement Value Measurement Value   Mean 9 Mean -18   Median 7      Median -18    What did the results of these measurements show? The average Environmental Quality Scores for Quinton are positive, between 7  (median) and 9 (mean) indicating that perceptions of this area are above  average, whilst the average score for Ladywood is negative, -18 (both mean and  median) indicating that this area is perceived to have an environmental quality   much lower than average.
  4. 4. Describe and Justify the use of Inter-Quartile Range  (IQR) data Qunton LQ 4 Ladywoood UQ -12  By comparing the level of overlap between the Inter-Quartile Range (IQR)  for the  Quinton and Ladywood data it is possible to determine if a  significant difference exists. (see next slide)
  5. 5. • As the upper quartile for Ladywood’s Environmental Quality Score is below the lower quartile for Quinton, it can be said that a significant difference exists between the perceived environmental quality of the two areas. Quinton has a significantly higher environmental quality than Ladywood What did the overlap of the IQR for different data sets show?
  6. 6. Describe and Justify the use of the Mann Whitney U Test.  A Mann Whitney U Test will determine to a level of confidence (95%,99% or 99.9%) whether there is a significant difference between the Environmental Quality Scores for Quinton and Ladywood. What did the results of this show? • Using Minitab the results for this test are displayed below: Mann-Whitney Test and CI: Quinton EQA, Ladywood EQA N Median Quinton EQA 48 7.000 Ladywood EQA 48 -17.500 Point estimate for ETA1-ETA2 is 26.000 95.0 Percent CI for ETA1-ETA2 is (23.000,30.000) W = 3475.5 Test of ETA1 = ETA2 vs ETA1 > ETA2 is significant at 0.0000 The test is significant at 0.0000 This is the ‘p’ value. See next slide for interpretation of ‘p’ values
  7. 7. p value Interpretation >0.05 The result of the test is not significant <0.05 With greater than 95% confidence the result is significant <0.01 With greater than 99% confidence the result is significant <0.001 With greater than 99.9% confidence the result is significant • Therefore it can be said that with greater than 99.9% confidence, the Environmental Quality Scores for Quinton are significantly higher than those for Ladywood.
  8. 8. Census Data Summarise what the bar charts showed in terms of socio-economic indicators? • For all of the indicators of wealth - Owner Occupied - 2 or more cars - Employed - Mngmnt/ Prof occupations Quinton has a higher % than Ladywood and in most cases the average for Birmingham • For all of the indicators of deprivation - Social rented - 0 cars - Unemployed - No Qualifications Ladywood has a higher % than Quinton and in most cases the average for Birmingham
  9. 9. Police Crime Data Describe and justify how you used measurements of Central Tendency ( averages) to analyse your data. What did the results of these measurements show? Describe and Justify the use of Inter-Quartile Range (IQR) data. What did the overlap of the IQR for different data sets show? Describe and Justify the use of the Mann Whitney U Test. What did the results of this show? YOU need to do this bit on your own!! Use Minitab to complete the Mann Whitney U Test – see next slides for help Great! I love doing statistics
  10. 10. Step 4. Phew ! Another section complete

    Soyez le premier à commenter

    Identifiez-vous pour voir les commentaires

  • PrachiMittal20

    May. 19, 2017

Vues

Nombre de vues

328

Sur Slideshare

0

À partir des intégrations

0

Nombre d'intégrations

4

Actions

Téléchargements

5

Partages

0

Commentaires

0

Mentions J'aime

1

×