Exam (elaborations)
DSC1630 Assignment 4 Semester 1 2024 - DUE 23 April 2024
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DSC1630Assignment 4
Semester 1 2024
DUE 23 April 2024
QUESTIONS COMPLETE
ANSWERS
musyokah11@gmail.com
, lOMoARcPSD|24668432
DSC1630/204/2
Dear student
I hope you are doing welland that you are enjoying this module.You have completed the four
assignments for the course and allthat is left to pass this module is the examination. It is now
time to start your revision for the examination.Try to work through all the assignments (first and
second semester), evaluation exercises and the previous examination paper when you prepare
examination.The questions in the upcoming examination paper are similar to the problems in the
above mentioned. You are also welcome to try the first semester’s assignments.
The solutions are
available on myUnisa under Additional resources.Remember,practice makes perfect! The more
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1 Solution Summary
The following is a summary of the correct answers:
Q 1 Option 3 Q9 Option 4
Q 2 Option 2 Q 10 Option 1
Q 3 Option 5 Q 11 Option 4
Q 4 Option 1 Q 12 Option 1
Q 5 Option 4 Q 13 Option 3
Q 6 Option 4 Q 14 Option 1
Q 7 Option 2 Q 15 Option 4
Q 8 Option 3
2
, lOMoARcPSD|24668432
DSC1630/204/2
2 Assignment 04 – Detailed Solution
1. We need to determine the standard deviation of the number of houses
Usingsold.
the statistical
keys of our calculator and entering the data points, we determine that the value
x is: of s
sx = 6,60808 . . .
≈ 6,6.
The standard deviation is 6,6.
EL-738
Switch to STA mode with two varia-
bles
HP10BII
MODE 1 1
Clear all the keys C ALL
Clear all the memory keys P
2ndF M CLR 0 0 CL [on → M key]
Enter the data Enter the data
P
5 (x,y) [next to the ENT keys] 500 5 INPUT 500 P +
DATA [on the ENT key] 15 INPUT 900 P+
15 (x,y) 900 DATA 19 INPUT 1 500 P +
19 (x,y) 1 500 DATA 7 INPUT 2 000 +
7 (x,y) 2 000 DATA Calculate s
Calculate s sx , sy [on 8 key]
ALPHA s x = 6.60808. . . is displayed.
sx = 6.60808. . . is displayed.
CancelSTA mode:
MODE 0
[Option 3]
2. We need to determine the correlation coefficient
r of the fitted line that represents the data.
The correlation coefficient tells you how strong the linear relationship between the two sets
data is.
Using the statistical keys of our calculator and entering the data points we determine that
correlation coefficient is
r = 0,16428 . . .
≈ 0,16
3
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