Statistics Data analysis project

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STAT271201flipprojectguidelinesUPDATED_b298ae3430569fb5d55e85218aa79c0d.pdf

Statistical Analysis Project- Dr. Rafida Elobaid

Prince Sultan University College for Women

STAT 271(2020) Section --------

REQUIRED: Group flip Project: Forecasting Time series Data

Steps:

1. As a group select recent case study with time series price data which includes one items to be analysed. You can use a data from your area of specialization and

excel software.

2. Use sample size, which is not more than 15 and not less than 10 observations. 3. After reading section 16.1from your both eBook and slides, identify the

following for your dataset:

i. Time series component. You can draw line chart to support your answer. ii. Compute the simple Index number for your data (use period one (year,

day,…etc.) as a base period).

iii. Determine the actual percentage growth between the base period and the tenth period in your data.

iv. Determine the actual percentage growth between period six and the tenth period in your data.

4. Discuss your results in each point as stated below. Notes:

1. You will be required to write and submit a short paper (Max. 4 pages, typewritten and have at least a 12-point font – Times New Roman) that describes your case

study.

2. The paper should be presented as follows:

• Introduction

• Research methodology

• Research findings and discussion (Step 3)

• Appendix contains the data used in your research (if you include the data in the analysis part then you don’t need insert it in the appendix)

• References in APA style 3. This is a group project with 3-4 students per group. 4. To collect your data you can refer to PSU database or any other database. 5. This project is due at the 11th week of the semester (Tuesday Nov. 10th, 2020).

Due date cannot be adjusted. 6. Do not use this sheet as your cover page. 7. Submit your Project soft copy in Turnitin in Moodle. Plagiarism will tracked and

similarity should not exceeds 25%.

8. Worksheet solution for this topic is available in Moodle.