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Statistical Analysis of Unleaded 91 Fuel Prices

Sample solutions for a statistical analysis project.

13 Pages2117 Words308 Views
   

Added on  2023-04-22

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This document provides a statistical analysis of the prices of unleaded 91 fuel in an Australian state. It includes descriptive statistics, measures of central tendency, and interpretation of the data. The document also includes a confidence interval analysis and hypothesis testing to determine if the fuel prices are considered expensive by consumers.

Statistical Analysis of Unleaded 91 Fuel Prices

Sample solutions for a statistical analysis project.

   Added on 2023-04-22

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PROJECT COVER SHEET
Please complete all of the following details and then make these sheets the first pages of your
project – do not send it as a separate document.
Your project must be submitted as a Word document.
PART B
Student Name:
Student ID No.:
Tutor’s name:
Due date:
Date submitted:
Declaration:
I have read and understand the Rules Relating to Awards (Rule 3 Section 18 –
Academic Integrity) as contained in the Policy Library. I understand the penalties
that apply for academic misconduct and agree to be bound by these rules.
The work I am submitting electronically is entirely my own work.
Signed:
(please type
your name)
Date:
Statistical Analysis of Unleaded 91 Fuel Prices_1
STATISTICAL ANALYSIS
STUDENT NAME:
STUDENT ID NUMBER:
– Statistical Analysis
Project Part B
Complete the summary table below.
Sample Number (last digit of your student ID number) 2
Fuel
First letter family name A to M – Unleaded 91
First letter family name N to Z – Diesel
Unleaded 91
Confidence Level 95%
Level of Significance 0.05
Value: 15%
PLEASE ENSURE YOU KEEP A COPY OF YOUR PROJECT
2
Statistical Analysis of Unleaded 91 Fuel Prices_2
STATISTICAL ANALYSIS
3
Statistical Analysis of Unleaded 91 Fuel Prices_3
STATISTICAL ANALYSIS
Self-Marking Sheet for Part A
Reflection/feedback
The overall structure of the solution to part A met the requirements, this is to imply that all
sections expected to be included were included. The spelling and grammar were properly used
in the write up for the task. The solutions provided for the various sections of the question
were relevant to the task, hence making the whole solution relevant in answering the question
in the task.
The descriptive statistics section was however brief, providing more information on the
descriptive statistics would give a clearer picture of the nature of the data. The difference in
measures of tendency, although detailed, would be complete if the actual values of the
different measures of tendency for the data being analyzed would be included as well. Including
these actual values from the excel output would serve to improve the explanation and thus the
understanding of the different measures of tendency.
Submitting and self-marking part A has in general helped in preparation for parts B and C.
Through self-marking I’ve been able to identify sections of part A that I did as required, and aim
4
Statistical Analysis of Unleaded 91 Fuel Prices_4

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