代写 BUS105: STATISTICS 统计 assignment
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代写 BUS105: STATISTICS 统计 assignment
BUS105: STATISTICS
TRIMESTER1 2016 ASSIGNMENT
Due Date: 20.05.2016 Marks: 20%
Introduction
This assignment requires you to analyse a given data set, draw conclusions from your analysis, and convey your conclusions in written form to a person with a very modest knowledge of statistics. You are also required to use some of the capabilitiesof
SPSS for statistical analysis.
The assignment should be completed and submitted as a
group assignment unless permission to submit an individual assignment has been received from your lecturer.
Ø The number of students in each group should be
no greater than three. Your group should meet to discuss fully the analysis required and should also review the memorandum before submitting.
Ø Submit
one printed copy onlyper group for marking.
Ø Details of
all members of the group must be included on the assignment
cover sheet attached to the assignment. All members of the group will be allocated the same mark for the assignment. It is up to each group to ensure all members do the same amount of work in contributing to the assignment.
Before attempting the assignment read the section ‘Assignment Details’ given in the Unit Outline.
The assignment uses an Excel file called
Conrobar.Your lecturer/tutor will advise you on how to download the database. The data can be readily analysed using
SPSS.
When you retrieve the
Conrobardatafile for the assignment you are advised to immediately save it under another name, for example,
Assgn1.xls. It is important to save your files often, (e.g. every 5 minutes), so that important work is not lost in the event of a computer malfunction.
Assignment Details
Ø
Charlie McArthy, Vice President of Planning and Development, has asked you,
Candice Bergen , Manager of Research and Analysis, and your team to analyse some data obtained from a survey of
Conrobar employees.
Ø The
memo from Charlie McArthy is reproduced on
page 4 of this document.
Ø You are required to respond to Charlie’s memorandum answering all of his questions.
This is to be done by:
§ Preparing a
data analysis documentusing
SPSS.
§ Writing a
memorandum in reply.
Task 1: Data analysis (10 marks)
You will need to examine and analyse the database thoroughly in order to prepare your answers to Charlie’s questions. To complete the analysis, you will need to do at
least someof the following where appropriate:
· Examine
summary measures
· Develop
frequency tables and
histograms
· Develop
contingency tables (cross tabs)
· Produce
box plots including
multiple box plots where applicable
· Produce
scatter graphs
v
Scatter graphs allow you to examine for possible relationships between two
quantitative (numeric) variables.
v
Contingency tables(
cross tabs) allow you to examine for possible relationships between two
qualitative variables. For contingency tables involving quantitative variables, you will need to create the classes.
v You will need to use the
transform/recode feature in
SPSS.
Ø
Include headings in your analysis in order that your lecturer can follow your work
Ø
For the submission of your assignment, the completed data analysis document is to be attached to the memo.
代写 BUS105: STATISTICS 统计 assignment
Task 2: The Memorandum (10 marks)
Prepare a
memorandum answering Charlie’s questions, providing essential information and conclusions. It is important to note that the memorandum is not a detailed research report. Thus, you should be able to convey your conclusions in about
4-5 pages
(max).
Keep the English simple and the explanations brief.
Your answers should be based on the analysis. However, in your memo you must
not refer explicitly to the DataAnalysis part of the submission. This analysis is kept by you for future reference and will not be seen by Charlie. If you feel it may help your explanation, you may include some suitable tables in the memo, but do
not include any
charts in the memorandum
except for a
bar chart and or
pie chart if appropriate.
When writing your memo answer the questions in the same order as they are asked in the memo to you. Number your answers.
As a professional business person, the accuracy and readability of your business communications are of utmost importance to your career. With this in mind you will be assessed on your ability to interpret your analysis correctly and on your ability to convey your conclusions in simple, clear language. Marks will be deducted for any inconsistencies between your analysis and your memo.
When writing up the memorandum try not to write too much or too little.
You must decide the right balance.In summary, your memorandum must be:
v
ahighlyreadable,
understandable,plain languagedocument
v
it must beuseful,
accurate,
andinformative
v
it mustaddress all questions raised in the originating memo
§ There is no need to make any recommendations in the memo unless you are specifically asked to do so.
§ Refrain from expressing your opinions about your analysis, simply relate
the information as determined by the analysis.
§ Let the statistics and or parameters speak for themselves.
Memorandum
Date: 02.01.2014
To: Candice Bergen, Manager of Research and Analysis
From: Charlie McArthy, Head of Human Resources
Subject: Analysis of employee survey data
Dear Candice
For the next meeting of the
Conrobar Board I have been asked to table some observations on our employees. As you know we recently conducted a question survey of a
sample of
48 of our employees.I understand that you have a copy of the results of that survey.
We would appreciate it if you could carry out some statistical analysis on those results and respond to this memorandum by answering the
8questionsI have listed below. Your response will enable me to prepare a paper for the meeting.
Just a reminder about the wording of your memorandum:we would prefer that you present your comments in a non-technical format. Statistical terminology can be confusing to the lay person.
However in anticipation of your report I have distributed a
glossary of relevant statistical terms to some of my staff. The following terms may be included in the memo without the need for any explanation as to their meaning:
v
mean/average
v
median
v
mode/modal class
v
outliers
v
standard deviation
v
inter-quartile range
v
linear/non-linear relationship
v
coefficient of determination
If you intend using any other statistical terms in the memo, a very brief and simple explanation of their meaning would be appreciated.
QUESTIONS
1. The employeedatabasecontains the variable
weekly ordinary time salary (
WkSalry).With reference to the
sample, we require:
(a)Summary statistics for the
entire sample of 48 employees for this variable,that you
thinkmay berelevant.
(b)A similar studybased on:
(i)gender (ii)managers and
non- managers(iii) three levels of
job security
Your answers to
1 (a) should include:
§ A table containing the relevant summary statistics.
§ A box plot.
§ A histogram.
Your answers to
1 (b) should include:
§ Suitable table containing comparative summary statistics as required.
§ Multiple box plots.
§ Hint: use Explore option
2. The employeedata base contains the variable
job satisfaction (
Jobsat).With reference to the
sample, we require:
(a)Summary statistics for the
entire sample of 48 employees for this variable, that you
thinkmay berelevant.
(b)A similar study based on:
(i)gender(ii)managers and
non- managers(iii) three levels of job security
Your answers to
1 (a) should include:
§ A table containing the relevant summary statistics.
§ A box plot.
§ A histogram.
Your answers to
1 (b) should include:
§ Suitable table containing comparative summary statistics as required.
§ Multiple box plots.
§ Hint: use Explore option
3. The board is also interested in establishing if there may be any significant
linear relationships between the various
numericalvariables included in the survey. In particular could you please examine in some detail the following relationships:
·
WkSalryversus
EducYrs
·
WkSalry versus
AtConrobar
·
Prdtvty versus
AtConrobar
·
UOvTime versus
Age
·
Prdtvty versus
WkSalry
·
DysAbsnt versus
Age
·
Prdtvtyversus
DysAbsnt
·
WkSalryversus
Age
Ø Your answer to question 3 will include 8 scatter diagrams.
Ø The interpretation of these scatter diagrams (memo only) will include a general description of the strength and nature of each relationship and a detailed explanation of the coefficient of determination (R2) in each case.
4. Some board members feel that
Genderand
EducYrsmight be related. Could you please advise if there appears to be any difference in
mean and
median EducYrs between
males and
females in the
sample?
· A table of comparative summary statistics is required
· Multiple – box plot should be included
5. At a recent board meeting the very sensitive subject concerning
days absent and
genderwas mentioned. Could you please provide the relevant summary statistics which would answer the question whether
femalesin the
sample reported absent more than
males?
Ø Suitable table of comparative summary statistics is required
Ø Multiple – box plot should be included
Ø Hint: use Explore option: AnalyzeÞDescriptive Statistics ÞExplore
QUESTIONS: Inferential Statistics
6. Productivity (Prdtvty)
(a) Please provide an estimate (
95% level of confidence) of the
meanProductivity of
all our employees.
(b) Please provide an estimate (
95% level of confidence) of the
meanProductivity of
all our:
(i) female employees (ii) male employees
(c) At the
95.0% significance level, can we conclude that there is a
difference in
mean
Productivity between
males and
females for
all our employees?
(d) What
minimum sample size (n) would be required to estimate the population
mean
Productivity with a
margin of error of 10 (ME = 10) with
95% confidence?
Hint: use Explore option: AnalyzeÞDescriptive Statistics ÞExplore
7.Age
(a) Please provide an estimate (
95% level of confidence) of the
meanAgeof
all our
employees.
(b) Please provide an estimate (
95% level of confidence) of the
meanAge of
all our:
(i) managers (ii) non-managers
(c) At the
95.0% significance level, can we conclude that there is a
difference in mean
Age between
managersand
non-managers for
all our employees?
Hint: use Explore option: AnalyzeÞDescriptive Statistics ÞExplore
8. Conducting a Hypothesis Test
The ABS has recently published data claiming that the mean age of all employees nationwide
working in similar industries to Conrobar is 45 years. Evaluate the claim using a suitable
hypothesis test.
Ø Students will need to state the
null and
alternative hypotheses correctly (symbols) (memo only) and then conduct a suitable hypothesis test using SPSS (in the analysis).
Ø Students should then copy and paste the result of the test from the SPSS output into the memo.
Ø Students then need to use the appropriate values from the output in order to explain their decision and then write the appropriate conclusion.
代写 BUS105: STATISTICS 统计 assignment