I will give you a thumbs up for your answer. Please let me know if you need further information.

The file looks at the position in trees that a sample of koalas have been observed as well as other relevant variables about the trees and the age and sex of the koalas. Data was collected in two locations over 3 years.

a) Open the data in SPSS and make sure the Variable View in SPSS is set up properly with all 'labels' correctly defined (with units) (1 mark), all 'values' assigned correctly for categorical variables (2 marks) and the correct 'measure' selected for all variables (1 mark). Copy and paste a screen shot of your Variable View (4 marks total).

b) Data screening is an important procedure prior to starting any analyses to ensure there are no mistakes in the data entry or unusual values that you need to be aware of. Use SPSS to produce frequency tables for your categorical (nominal) or ordinal variables and summary statistics (mean, minimum, maximum and standard deviation) for your quantitative (scale) variables. In your answer provide only the output for Location, Gender and 'Position of koala in tree 3h after first sighting (m)' (1.5 marks). Describe any potential problems or mistakes you can identify for these variables from this screening process (3 marks). For Gender, how would you resolve the issue (explain how only - no need to edit the data set)? (1.5 marks) (6 marks total)

c) Creating plots is also an important part of screening data before any analyses are performed. (9 marks total)

i. Use SPSS to produce a boxplot of 'Position of koala in tree 3h after first sighting (m)' by Year (1 mark). Add a title to the plot with your name, make the boxes a light blue colour and make the background of the plot white (1.5 marks). Comment on the min, max, IQR and medians (1 mark).

ii. Use SPSS to produce a histogram of Height of tree (1 mark). Make the following adjustments to your graph before attaching it to your assignment (2.5 marks):

Add a title to the plot and include your name,

Make the bin interval width = 5,

The y-axis major increments = 25,

Make the histogram bars a green colour,

Make the background of the plot white.

iii. Comment on the shape, centre and spread of the distribution of Height of tree and any points of influence that may need further consideration and why (2 marks).

Data (file)

SEQ Koala Survey Data 2010 - 2012

Koalas are found in both bushland and urban locations in South East Queensland. With increasing concerns around loss of habitat it is

important to have access to information about the current habitat of the koala population. Over a period of 3 years, data was collected

on age and gender of koalas from a random sample of locations in South East Queensland. In addition, habitat information was recorded

on relevant variables, such as the height of a tree, crown size (radius of branches and foliage from the trunk of a tree),

crown density (proportion of crown branches and foliage that blocks light visibility through the crown) and position of a koala from

the ground, for trees in which koalas were sighted. In addition, to gain some insight into movements of koalas in these trees a further

measure of position of a koala from the ground was taken three hours after the first sighting of the koala.

Results of the surveys for koalas undertaken by Environment and Heritage Protection between 2010 and 2012 in South East Queensland.

Environment and Heritage Protection, Queensland Government, SEQ Koala Survey Data 2010 - 2012, licensed under Creative Commons Attributionsourced on 26 October 2016.

Variables:

location: location where koala was sighted

1 = bushland

2 = urban

year: year of sighting

1 = 2010

2 = 2011

3 = 2012

age: age of koala

1 = adult

2 = juvenile

gender: gender of koala

1 = male

2 = female

positionintree: position of koala in tree (from ground level) (m)

laterpositionintree: position of koala in tree (from ground level) 3 hours after first sighting (m)

heightoftree: height of tree in which koala was sighted (m)

crownsize: crown size of tree in which koala was sighted (m)

crowndensity: crown density of tree in which koala was sighted (as a percentage)