1015SCG_MathAssignment_T32023
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Griffith University *
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1014SCG
Subject
Mathematics
Date
Jan 9, 2024
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docx
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1015SCG Quantitative Reasoning
Maths
and inference assignment
Maths and Inference Assignment
1015SCG Quantitative Reasoning
Trimester 3 2023
Weight:
30%
Due date:
By Friday 22
nd
December 2023 (End of week 7)
Name:
Student number:
Third-to-last digit of student number:
Use this to determine which data set to use for Question 1.
eg digit is 3, use bac3.csv; digit is 0, use bac0.csv.
Write this at the top of your answer to Question 1.
Second-to-last digit of student number:
Use this to determine which data set to use for Question 2.
eg digit is 5, use life5.csv, digit is 0, use life0.csv
Write this at the top of your answer to Question 2.
Last digit of student number:
Use this to determine which data set to use for Question 3.
eg digit is 7, use workshop7.csv, digit is 0, use workshop0.csv
Write this at the top of your answer to Question 3.
Instructions:
Please fill out the above information and enter your answers in
this Word document
.
If your submission is not in the format provided in this Word document, it will not be graded.
Please upload your final assignment as PDF to the submission point on the course site.
Use the correct csv file, if you use a different file, there will be mark penalty.
For each of the questions show your working – explain how the calculations are done, what
software and functions are used, show appropriate screenshots from the software.
Make sure all the plots have titles or captions, axes labels with units and a legend if
applicable. The scatter plots should be used for discrete data, lines should be used for fits.
Pay attention to significant figures, especially when quoting the values with errors.
The assignment is out of 100 marks. Marks for each question are given with the question in
square braces [ ] .
If you have any questions, please ask your demonstrators during the workshops or post your
questions (but not answers or solutions) in the course Teams channel.
Page 1 of 8
Your name here
sxxxxxxx
X
X
X
1015SCG Quantitative Reasoning
Maths
and inference assignment
Question 1 [40 marks]
A lab has 10 different bacterial samples, but they all got mislabelled.
The growth of the bacteria in specific conditions is given by an exponential function
N
(
t
)
=
N
0
e
kt
, where
N
0
is the initial number of bacteria (for the time
t
=
0
¿
,
N
(
t
)
is the number of
bacteria after time
t
(measured in days), and
k
is the growth constant.
Values of the growth factor
k
are different for each type of bacteria and are given in the table.
Bacteria type
Growth factor
k
(1/days)
Dangerous level
C
(number of bacteria/cm
3
)
A
0.11
200
B
0.12
310
C
0.13
500
D
0.14
720
E
0.15
550
F
0.16
1020
G
0.17
1300
H
0.18
1560
I
0.19
2000
J
0.20
2500
You are given a random sample in the Petri dish with initially 100 organisms living in a jelly, and you
are asked to determine which type of the bacteria it is. You decide to grow the sample, measuring the
number of bacteria in your sample every day. Use the file bacx.csv, where x is
third-to-last
digit of
your student number.
a)
Plot the number of bacteria as a function of time. [5 marks]
b)
We want to use regression on this data to find the values characterising the sample growth,
but to do it we need linear data. What can you plot on the y axis instead the number of the
organisms, so the plot becomes linear? Explain and show appropriate equations. [5 marks]
Page 2 of 8
Enter your answer here, expand the text box as needed.
Enter your answer here, expand the text box as needed.xx
1015SCG Quantitative Reasoning
Maths
and inference assignment
c)
Use regression to fit the linearised data and find the R
2
value, gradient with an error, intercept
with an error and the residual standard error. Explain what each of these quantities means in
the context of your data. [10 marks]
d)
Find the growth constant
k
(with error) from the regression data. [2 marks]
e)
Plot the linearised graph of the data with the fit. Comment on the shape of the plot and the fit.
[5 marks]
f)
From the regression data, identify which sample you got. Explain how you arrived at your
conclusion. [5 marks]
Page 3 of 8
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