How Do You Write A Statistics Assignment? Students’ Guide – A Simple Guide

Statics assignments can be the best way to improve our analytical abilities because Statics is a science that combines understanding mathematics, psychology, and economics.     

Before starting working on a statistics assignment, it’s crucial to understand the type of statistics that are usually put in our projects. In general, statics are classified as follows:

  1. Descriptive
  2. Inferential

In the case of descriptive statistics, we describe the features of the data. For example, in student data, there can be a specific category of students as per their subjects.

While in the case of inferential statistics, we conclude based on descriptive statistics. For example, 80% of the students have business as their subject of study. It’s very important to understand the structure of your statistics assignment.

Here Are Some Ways That A Student Like You Can Apply For Your Assignment:

1. Research Is The Door Key

Imagine your math teacher starts teaching trigonometry in the class without having proper knowledge about it. You will catch their incapability, right? Exactly like that, if you as a student will not do proper subject research before starting your Statistics project, your incomplete knowledge of the subject will be reflected in your assignment.

It is essential to understand the subject and its requirements to complete the proper statistic assignment with appropriate data. For instant: If your assignment is based on the economic subject, it’s important that you read about the general economic terms first. 

2. Create A Structure

Statistics as a subject includes a lot of data and proper data analysis. This process can’t be smoothly completed without a structure. After completing your research, you should be working on the structure of your project. A proper structure will help you eliminate unnecessary tasks and hence reducing the duplicity of the work and ultimately helping you save more time.

3. Collect Your Numbers

Since now you have worked on the subject knowledge and the proper structure, it’s time to get into action and collect your data as per the subject requirement. Generally, there are two sources of collecting data.

●    From Primary Sources: The information which is first handed, for example, asking customers directly about the product reviews.

●    From Secondary Sources: The second handed information, for example, academic books and articles on websites.

It is a choice that a data collector makes to choose from the sources of information. In some cases, a primary source will give appropriative information, but there can be a case where information is already available, and doing a primary survey can lead to duplicity. 

PRO TIP: Choose a source of the collection that provides you with a strong reference for your ultimate result  

4. Evaluation Is The Last Key

As an analyzer, you must provide qualitative information based on the quantitative data that you have collected.

The data that a person collects can’t be understood by everyone, but the conclusion, i.e. the qualitative information you provide, can be easily understood and will be considered as a result of your process

So, evaluation is the last key of your assignment; make sure you open it wisely. 

Our Statistics Experts have prepared sample assignment solution to demonstrate the quality of our work. All the solutions have been prepared by following a simplistic approach and include step by step explanations. These solutions reflect the in-depth expertise and experience of our online Statistics assignment experts.

Case Exercise: Speeding In Old Port

Pattie Ray, Chief of Police in the small, quiet town of Old Port, has recently been made aware of a sharp increase in the number of speeding tickets being issued to local drivers. Chief Ray has requested departmental data on speeding violations in the past 30 days and has asked students in PA 805 to analyze the data and report back to her on trends. She is interested in getting a general idea of what’s going on (e.g., through descriptive statistics and visual displays of the variables provided) and also specifically wants to know:

1. Is driver age associated with the dollar amount of the ticket that was issued (measured in dollars $)?
2. Is a driver’s miles per hour over the speed limit associated with the dollar amount of the ticket that was issued (measured in dollars $)?
3. Is there an association between ticketing officer and the dollar amount of assessed ticket (categorized as low/medium/high)?
4. Is there an association between time of day that the ticket was issued and dollar amount of assessed ticket (categorized as low/medium/high)?

Some context:
Old Port is composed of three neighborhoods – Parkside, Hilltop, and Seaside. There are three police officers in Old Port: Lawson, Simon, and Miller. Speeding patrols are alternated proportionately between the three officers.

Your job:
Perform an analysis of departmental speeding violation data. Specifically:

• Explore and describe observations of each of the variables in the data set to develop an understanding of the situation in Old Port. Use descriptive statistics (appropriate numbers and pictures) here. Then,
• Select two of the four questions that are of interest to Chief Ray to explore using appropriate measures of association. One of the questions that you select should focus on quantitative variables (i.e., question 1 or 2) and the other should focus on categorical variables (i.e., question 3 or 4).

Deliverable & guidelines:

Write up the results of your analysis in a concise (500-750 word) professional memo* to Chief Ray. Perform all calculations in the Excel spreadsheet, using appropriate formulas and functions, and save your work.

Important notes:

  • Keep your analysis simple and feasible. To earn full credit you do not need to have a particularly complex analysis. Rather, a high-quality, complete, basic analysis is preferred.
  • Calculate a complete set of descriptive statistics for each variable in the Excel sheet, including one (1) appropriate visual display for each variable.
  • Calculate all measures of association to address two (2) of Chief Ray’s questions, one dealing with quantitative variables and one dealing with categorical variables.
  • Give an overview of your descriptive statistics in the memo, and a complete/detailed description and interpretation of what was found with your measures of association.
  • Remember, you are not being asked to make recommendations as to a course of action – you are simply being asked to describe the data and investigate a possible association.

SOLUTION:

MEMORANDUM

DATE: June 15, 2022

TO: Chief Ray

FROM: Jeena

SUBJECT: Speeding in Old Port

This is a brief report on trends in speeding violations in Old Port for the past 30 days. The report is based on the analysis of data involving a sample of 28 speeding violations. The findings revealed that:

  • A majority of speeding violations occur in the evening (42.86%) while the least amount of violations is experienced in the afternoon (21.43%).
  • Most speeding variations occur frequently in the Seaside neighborhood (46.43%), followed by Hilltop (28.57%) and Parkview (25%).
  • The number of miles per hour recorded above the speed limit when speeding violations occur range from 3 mph to 22 mph.
  • The average number of miles per hour recorded above the speed limit when the speeding violations happen is 11 mph (SD = 4.75 mph).
  • The median number of miles per hour recorded above the speed limit when speeding violations occur is 11 mph.
  • The number of individuals in vehicle when speeding violations occur ranges from 1 to 5.
  • The average number of individuals in vehicle when speeding violations occur is 2 (SD=1.17). Similarly, the median is 2.
  • The ages of drivers who commit speeding violations range from 16 to 80 years.
  • The average age of drivers who commit speeding violations is 33.32 years (SD = 16.97 years).
  • The median age of drivers who commit speeding violations is 29 years.
  • Speeding violations are most frequent when ticketing officer Miller is on patrol and least frequent when officer Simon is on patrol. The results showed that 46.43% of the reported violations occurred when Miller was on duty, 35.71% happened when officer Lawson was on patrol and only 17.86% occurred during officer Simon’s patrol.
  • The amount of ticket given as a result of the speeding violation ranges from $25 to $150.
  • The average amount of ticket given because of speeding violation is $66.96 (SD = $37.92).
  • The median amount of ticket offered to those who commit speeding violations is $75.
  • The most frequent ticket amount given is $25 (32.14%), $100 (25%), followed by %75 (21.43%), then $50 (14.29%) and $150 (7.14%).
  • A majority of tickets given are moderate in terms of dollar amount (35.71%). Moderate tickets range between $50 and $99. The number of low and high ticket amounts given are evenly matched with, each at 32.14%. Low tickets are less than $50 while high tickets are $100 and above.
  • A Pearson correlation analysis was performed to assess the nature of association between driver’s age and the dollar amount of the ticket issued. The results revealed a moderately strong and negative relationship between the two variables, r = -0.62. In other words, as the driver’s age increases the dollar amount of the ticket issued decreases.
  • A chi-square test was conducted to assess the nature of association between ticketing officer (Miller, Lawson, Simon) and the dollar amount of assessed ticket (categorized as low/medium/high). The results revealed no significant association between ticketing officer and the dollar amount, c2 (4) = 8.45, p =. 07, at 5% level of significance.

Share this post

Share on facebook
Facebook
Share on twitter
Twitter
Share on linkedin
LinkedIn
Share on whatsapp
WhatsApp

Related posts

Keep in touch with the trends