Gen 101 – Statistics Assignment
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.
Using the two datasets provided you need to complete the tasks below.
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)
1.2 For each column in the dataset determine the data type (ignore the columns with First Name and Last Name)
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
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)
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
Section 2.0 – Using Dataset Number 2 complete the following:
2.1 Find the secular trend line for Mangoes Sales using the Semiaverages method
2.2 Using the 4PCMA method predict Cherry sales for Q3, 2017 20%
3.1 Present your work in one file using the numbering system above you must show ALL your calculations.
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)
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