2.1 Mariana, a researcher at the World Health Organisation (WHO), collects information on weekly study hours (HOURS) and blood pressure when writing a test (BLOOD) from a sample of university students across the country, before running the regression BLOOD = f(STUDY). She collects data from 5 students as listed below: X (STUDY) 1 2 3 Y (BLOOD) 140 128 125 123 4 8 90 She replicates her study and collects data from 62 students from a rival university. She derives the residuals followed by computing skewness (S) equals 2.50 and kurtosis (K) equals 0.10 for the rival university data. Conduct the Jacque-Bera test of normality at a = 0.01.

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2.1
Mariana, a researcher at the World Health Organisation (WHO), collects information
on weekly study hours (HOURS) and blood pressure when writing a test (BLOOD)
from a sample of university students across the country, before running the regression
BLOOD = f(STUDY). She collects data from 5 students as listed below:
X (STUDY)
1
2
3
Y (BLOOD)
140
128
125
123
4
8
90
She replicates her study and collects data from 62 students from a rival university. She derives
the residuals followed by computing skewness (S) equals 2.50 and kurtosis (K) equals
0.10 for the rival university data. Conduct the Jacque-Bera test of normality at a = 0.01.
Transcribed Image Text:2.1 Mariana, a researcher at the World Health Organisation (WHO), collects information on weekly study hours (HOURS) and blood pressure when writing a test (BLOOD) from a sample of university students across the country, before running the regression BLOOD = f(STUDY). She collects data from 5 students as listed below: X (STUDY) 1 2 3 Y (BLOOD) 140 128 125 123 4 8 90 She replicates her study and collects data from 62 students from a rival university. She derives the residuals followed by computing skewness (S) equals 2.50 and kurtosis (K) equals 0.10 for the rival university data. Conduct the Jacque-Bera test of normality at a = 0.01.
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