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Practice Example Steps: Then get some feedback and sort out what you don't know before the actual assessment 
Auckland University Student Survey: Qualifications & Work Practice: SURF Households Savings Survey 
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Practice Assessments Practice assessment papers with answer schedules (link to NZAQ) Annotated student responses with explanatory notes (link to NZAQ) NOTE: these NZQA exemplars have not been corrected for the latest information on the NZQA clarifications page Inference (2.9A)  ASSESSMENT RESOURCE A Read over, make notes and learn what is expected, but don't take them as fully correctly graded.


POSSIBLE WRITE UP  
Problem/Question 

Formed a Comparative Research Question 
I wonder if the median number of hours worked per week of the male New Zealand workforce tends to be greater than the median hours worked per week of the female workforce in NZ. 

Variables defined with units 
Hours worked are obviously measured in hours 

Population defined (and any assumptions) 
Even though it is not specified we assume that the data is collected form a range of people in the NZ workforce. 

A prediction is made: ‘I think that...’ 
I think that males tend to work a greater number of hours a week than females. 

Reason why making your prediction: Why ‘I think that...’ 
This is probably because females tend to have more time taken up by children so cannot work as many hours each week. More mothers may be involved in part time work. 

Plan 

Use iNZight to analyse and display and put on informal confidence interval bars (save the display image) Use the sample statistics to calculate the Informal confidence interval. 
(Uploaded CSV to iNZight, made dot/box plot, saved image, added summary statistics) 

Data 

Did you have to ‘clean’ the data’ (discuss) 
I checked to see if there was any missing data or abnormal values (such as work time in minutes instead of hours) 

Comment on the sampling method, 
I took a simple random sample from the population. Each member of the population was allocated a random number, then the data was sorted into gender groups then by random number. I then took the first 30 makes and the first 30 females as my sample. This ensured each member of the population had an equal chance of being selected. 

Comment on the effect of sample size. 
A sample of 30 values from each group (mates and females) is the minimum number needed so that the sample is representative of the population 

Analysis 

Informal Confidence Interval for male workers is Informal Confidence Interval for female workers is


Discussing of sampling variability, including the variability of estimates (ESSENTIAL for Achieve) 
If I repeated the sampling process the sample (and box plot & summary statistics) would be different. This is because a sample is a random group from the population. Because my sample size is 30 the sample should represent the population reasonably well, so even though different samples will be different from each other, generally the samples will be similar (and similar box plots & statistics) 

Discussion of sample statistics comparing two samples. 
From the sample  the mean hours worked per week for females (31.1 hr) is slightly greater than the male mean hours worked per week (30.6hr) although the difference is not great. From the sample  the median hours worked per week for females (36.5 hr) is greater than the male median hours worked per week (32hr) indicating that females could work for longer per week than males 

Discussion of each box plot/dot plot ‘outliers & extreme values’ 
There are no outliers or extreme data values from either sample group (male & female) as the maximum (& minimum) data values are within 1.5 box widths above (& below) the upper (& lower) quartile 

Discussion of box plots ‘shift & overlap & middle 50%’ 
The is a lot of overlap between the male middle 50% box in the box plot and the female middle 50%. In fact the male 50% is contained within the female upper & lower Quartiles. This shows little difference in the number of hours worked per week for males & females. There is little shift when comparing the two box plots. The middle 50% of the female hours worked per week does seem more spread out than the male hours worked (Inter quartile range of 33.7 hr for females & 20 for males) This indicates greater variation in the number of hours worked by females with some part time workers and some working long hours. 

Discussion of each box plot/dot plot ‘distribution, groups, cluster, gaps, symmetry, skew’ and possible causes 
There is a group of males who work 40hr per week which is not surprising as the traditional working week is 40hr. There is also a reasonably even distribution form 10 to 40 hours for male workers, with a few working long hours each week (up to 70 hr) The females seem more grouped, with a group working part time (2 to 10 hr per week) who maybe working mothers. There is another group of females who work about 20 hr per week. these could be mothers with kids in school so they can work during school hours. There is another group of females working 40 to 60 hr per week who are full time workers. 

Discussion of what each informal confidence interval means (in context & referring back to the population and how sure you are) 
From the informal confidence interval we can be reasonably sure that the median for the whole population of males is between 27.2hr and 45.7 hours work per week (for workers in NZ) From the informal confidence interval we can be reasonably sure that the median for the whole population of females is between 27.2 to 45.7 hours work per week (for workers in NZ) 

Discussion of informal confidence interval overlap / or not (in context & referring back to the population and how sure you are) 
Because these informal confidence intervals overlap we have no evidence that suggests the median hours worked per week for males is different from the median hours worked per week for females. 

Conclusion 

Answer your research question by referring to your graphs, analysis and informal confidence interval. 
I thought that males would tend to work for a greater number of hours a week than females. From my sample and analysis we cannot make this conclusion. There seems to be no measurable difference in the medians between the males & females, although there is some indication that females have more spread in the number of hours worked per week  than males. 

Discuss errors, bias, omissions, improvements, further research... 
Sample Size Sampling Population
