The task is to make a user friendly data analysis package in order to determine several hypothesis testing. It is to be written in PHP and HTML if possible and must have a report to go with it. It must be around 30-40 pages long using this structure:
The report will normally comprise of the following in the order given:
A short (at most one side of A4) summary of the main points of the subject and of the conclusions.
(2) Table of Contents:
A list of chapters, sections and subsections (with headings), appendices, and so forth, together with appropriate page numbers.
(3) Main Text:
The body of the report arranged as a sequence of chapters, each possibly divided into sections.
These should be set out in a consistent style, as illustrated in Section 8. Every published or unpublished work to which you refer in the text of your report must be included in the list of references at the end.
These should include, where relevant:
(a) Structure diagrams and listings of all programs written for the project.
(b) A User Manual, i.e. clear instructions on how to use the system.
(c) Sample runs of any programs, i.e. input data and results.
(d) Any other relevant information that is inappropriate for the main text.
For example, detailed questionnaire responses.
(e) If the report contains unusual terms or abbreviations, then a glossary may be useful.
*t-test for the mean. To decide if a sample mean is different from
hypothesised population mean.
The user must be able to admit sample data, and the claimed population mean, and then click the Calculate button to display the following information: the estimated mean, t-critical value(s), t-statistic value and conclusion.
*t-test the difference between two means: dependent samples.
This test is based on selecting pairs of samples and comparing the
means of the pairs. The population means need not be known.
The user must be able to admit two sets of data so that the Student’s t-test can be used to determine if the average of the samples are different. By clicking the Calculate button the following information is displayed: the estimated mean, the standard deviation, t-critical value(s), t-test statistic value and conclusion.
*t-test the difference between two means: independent samples.
This test is used when the samples are taken from two normally or
approximately normally distributed populations.
The user must be able to admit data from the first population and second population and then click the Calculate button to display the following information: the estimated mean1, the estimated mean2, variance1 and variance2, t-critical value(s), t-statistic value, F- statistic value and conclusion.