Implement comprehensive logging mechanisms.
Maintain audit trails to track changes and access to sensitive data.
Illustration: Create a flowchart depicting the logging and audit trail processes.

7. Non-repudiation:
Description: Prevent users from denying their actions, ensuring accountability for their actions.

Implementation:

Use digital signatures to link actions to specific users.
Include timestamps in logs for establishing the timing of user actions.
Illustration: Draw a diagram illustrating how digital signatures and timestamps are incorporated into the system.

These diagrams can be created using various online diagramming tools. Once created, you can share or embed them in presentations or documentation as needed.


User
A presidential candidate hired a public relations firm to conduct a poll to see whether he
faces a gender gap with voters. That is, he wants to know whether gender is related to how
a voter feels about him as a candidate. The poll asked 800 men and 750 women how they
felt about the candidate. The responses are in the table below. Perform the chisquare test
to determine whether this politician faces a gender gap.
i) State your hypotheses.
(2 Marks)
ii) Find the critical value for this test.
(3 Marks)
iii) Construct a table to calculate the observed and expected counts. Then calculate the
test statistic.
(13 Marks)
iv) Based on answer in (b), state a conclusion about the results of your test.
(2 Marks

Respuesta :

Step-by-step explanation:

**I'm ready to address the chi-square test for the gender gap analysis. However, I need the table of responses from the poll to proceed with the calculations and conclusions.**

**Once you provide the table, I can guide you through the following steps:**

**i) Stating the hypotheses:**

* Null hypothesis (H0): There is no relationship between gender and voter opinion about the candidate (no gender gap).

* Alternative hypothesis (Ha): There is a relationship between gender and voter opinion about the candidate (gender gap exists).

**ii) Finding the critical value:**

* Determine the degrees of freedom (df) = (number of rows - 1) * (number of columns - 1).

* Choose a significance level (e.g., α = 0.05).

* Use a chi-square distribution table or calculator to find the critical value corresponding to α and df.

**iii) Constructing the table and calculating the test statistic:**

* Create a contingency table with rows for gender (male/female) and columns for voter opinion categories.

* Fill in the observed counts from the poll data.

* Calculate expected counts for each cell, assuming independence between gender and opinion.

* Calculate the chi-square test statistic using: χ2 = Σ [(observed count - expected count)^2 / expected count].

**iv) Stating a conclusion:**

* Compare the calculated χ2 value to the critical value.

* If χ2 > critical value, reject H0 and conclude there's a significant relationship (gender gap).

* If χ2 ≤ critical value, fail to reject H0 and conclude there's no significant evidence of a relationship.

**Please provide the table of responses so I can complete these steps and provide a comprehensive analysis.**