这个作业是基于两组数据完成计算、了解数据并做出预测

Gen 101 – Statistics Assignment
Background Information
Statisticians work with data from all sources and one of their challenges is working out what data
is important. In this assignment you will complete calculations based on two sets of data to
understand the data better and make predictions. Be sure to include all your calculations in your
submission and to round everything to 4 decimal places unless you are reporting money.
Assignment Requirements:
Using the two datasets provided you need to complete the tasks below.
Task Weighting
Section 1.0 – Using Dataset Number 1 complete the following:
1.1 Identify the Sampling method used to collecting the data. Identify if
there were any possible sampling errors and if there is a more
appropriate method that could have been used. (Max 150 words)
5%
1.2 For each column in the dataset determine the data type (ignore the
columns with First Name and Last Name)
5%
1.3 Create a Box-plot diagram for the Physics Grades 10%
1.4 Using a frequency table with Class Interval sizes of 10, calculate the
Standard Deviation and variance for the Chemistry Grades
15%
1.5 Use two different methods calculate the Correlation Co-Efficient for
the Height and Weight of the students, Interpret your answer in
both cases and discuss the difference between the two methods
used (Max 150 words)
20%
1.6 Determine the Least-Squares regression line for the Height and
Weight of the students. Determine the Goodness of fit for the data
and interpret your answer. Using the Least-Squares regression line
predict the weight of a 167cm student
10%
Section 2.0 – Using Dataset Number 2 complete the following:
2.1 Find the secular trend line for Mangoes Sales using the Semiaverages method
10%
2.2 Using the 4PCMA method predict Cherry sales for Q3, 2017 20%
Section 3.0
3.1 Present your work in one file using the numbering system above you
must show ALL your calculations.
5%
Date of Submission: 11th May 2020 at 5:00pm
Marks Allocated: 20% weighting of the Final Gen101 grade
Late Penalty: 5% per day penalty (up to 2 days) for late submission will be applied –
thereafter 0% will applied.
Submissions: – Assignments should be submitted as one file in PDF form on StudySmart
before the due date. No email submissions will be accepted.
– Plagiarism or group work will not be tolerated.
– Remember to include ALL your calculations (marks will be deducted for
papers not showing calculations)


EasyDue™ 支持PayPal, AliPay, WechatPay, Taobao等各种付款方式!

E-mail: easydue@outlook.com  微信:easydue


EasyDue™是一个服务全球中国留学生的专业代写公司
专注提供稳定可靠的北美、澳洲、英国代写服务
专注提供CS、统计、金融、经济、数学等覆盖100+专业的作业代写服务