STA1101 Quantitative Methods Individual Assignment 2026 | INTI

School

INTI International University (IIU)

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Assignment Type

Individual Assignment

Subject

STA1101 Quantitative Methods

Uploaded by Malaysia Assignment Help

Date

07/01/2026

STA1101 Individual Assignment (20%)

Information	Remark
Course Learning Outcome	CLO3: Analyze data set using descriptive statistics, inferential statistics and determine the relationship between data sets.
Due Date / Time	Friday, 3 July 2026 /12.00 noon
Submission Type	Report: Hardcopy submission (Printed and stapled at the top left-hand corner, B&W is sufficient) Excel: Upload to Canvas.
Total Marks	Total marks of 50 to be converted to 20% of the total assessment
Format of Written Report	Font type: Times New Roman Font size: 12 Spacing: 1.5 Paper size: A4 with normal margins Header: Your name and ID number must be displayed on each page at the top left corner Footer: Page number is displayed on each page at the bottom right corner
Referencing	No referencing needed for this assignment
Tools to Answer Questions	Microsoft Excel / Data Analysis Toolpak FAll the output/formula/graphs computed in Excel must be “copied and pasted” as part of your answer, to show proof of working done. Calculations may be handwritten. Take a snapshot and paste it into the document.
Academic Integrity	This is an individual assignment. Each student must independently complete their own analysis using their personally assigned stocks. Sharing of data, Excel files, or written answers between students constitutes academic misconduct and will be penalized.
Late Submission	Any work submitted within the first 24 hours after the deadline will receive a deduction of 10% of available marks. Each subsequent 24-hour period incurs an additional 10% deduction until no marks remain.

Assignment Questions

Answer ALL questions below. Use Microsoft Excel to perform all calculations. All solutions must be typed and presented neatly in your written report.

Question 1

Calculate the measure of central tendency (mean, median, mode), measure of dispersion (variance, standard deviation), maximum, minimum, and skewness of the weekly stock price for each of your two (2) selected stocks and the KLCI index.

(6 marks)

Question 2

Construct a 95% confidence interval for the true population mean weekly stock prices for each of your two (2) selected stocks. Show all working steps, including the margin of error calculation. Present your results clearly.

(10 marks)

Question 3

Your manager makes the following claims about the average weekly stock prices. Test each claim at the 5% significance level.

Compute the claim value according to your respective company’s selection. Round your answer to 2 decimal places.

	Company A	Company B
Claim	Average weekly price > RM (mean of Company A) × 0.98	Average weekly price > RM (mean of Company B) × 0.98
How to find your value	Calculate the sample mean of Company A’s weekly price, multiply by 0.98, and round to 2 decimal places.	Calculate the sample mean of Company B’s weekly price, multiply by 0.98, and round to 2 decimal places.

Example:

Company A: Mean (from Q1) = 8.25

Then the claim will be: Average weekly price > RM8.09

Company B: Mean (from Q1) = 10.5

Then the claim will be: Average weekly price > RM10.29

For each stock, clearly state:

a. The null and alternative hypotheses (H₀ and H₁)
b. The critical value at α = 0.05
c. The test statistic
d. Your conclusion and interpretation in context

(14 marks)

Question 4

A trader claims that Company A has a higher average weekly stock price compared to Company B. Test this claim at the 1% significance level using an appropriate two-sample hypothesis test. Clearly state your hypotheses, critical value, test statistic, and conclusion.

(7 marks)

Question 5

Using the KLCI index as your market benchmark, perform a simple linear regression analysis of each stock’s weekly stock price against the KLCI weekly stock price. For each stock, determine and report:

(i) Alpha (α) – the intercept coefficient

(ii) Beta (β) – the slope coefficient (sensitivity to market)

(iii) The least squares regression equation: 𝑦_{𝑠𝑡𝑜𝑐𝑘}=𝛼+𝛽𝑥_{𝐾𝐿𝐶𝐼}

(iv) The coefficient of determination (𝑅²) and its meaning

(v) A written explanation of what your alpha and beta values indicate about each stock’s price behaviour relative to the market

(10 marks)

Question 6

Write a brief conclusion and reflection based on your findings from Questions 1–5. Your response should include:

(i) A clear investment recommendation: Which of your two stocks is a better buy? and why?

(ii) An explanation supporting your recommendation using evidence from your analysis (e.g. price, beta, confidence interval).

(iii) A personal reflection on what you learned from completing this assignment.

(3 marks)

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