student will pass a course. The predictor variables include the categorisation of 2nd year marks (categorised as high (H)/ medium (M) / or low (L)) and whether or not the majority of lectures were attended (yes (Y) or no (N)). The response is coded as a pass (P) or fail (F). 2nd yr marks Attended Passed L L Y M F Y P The model predicts that a student with medium 2nd year marks who did not attend all lectures will pass, true or false? P. P. z > z >

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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Question
A classification tree is manually built on the
data below to predict whether or not a
student will pass a course. The predictor
variables include the categorisation of 2nd
year marks (categorised as high (H) / medium
(M) / or low (L)) and whether or not the
majority of lectures were attended (yes (Y) or
no (N)). The response is coded as a pass (P) or
fail (F).
2nd yr marks Attended Passed
N
F
L
Y
P
M
F
M
Y
H
N
H
Y
P
The model predicts that a student with
medium 2nd year marks who did not attend
all lectures will pass, true or false?
Transcribed Image Text:A classification tree is manually built on the data below to predict whether or not a student will pass a course. The predictor variables include the categorisation of 2nd year marks (categorised as high (H) / medium (M) / or low (L)) and whether or not the majority of lectures were attended (yes (Y) or no (N)). The response is coded as a pass (P) or fail (F). 2nd yr marks Attended Passed N F L Y P M F M Y H N H Y P The model predicts that a student with medium 2nd year marks who did not attend all lectures will pass, true or false?
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