MH4501 Multivariate Analysis, Semester 2 AY 2023-24
Nanyang Technological University, SPMS, MAS
Assignment 2
Due date: 6:30 PM, 7 March 2024
Remark. You are allowed to use R for the computations, but there is no need to paste your R code in your
assignment. What matters the most is to explain the reasoning and assumptions that you make.
Question 1
Consider n = 15 realisations x1, . . . , x15 from N3(µ,Σ) where µ and Σ are unknown. The sample mean is
x¯ =
(
0.494 −1.785 −1.369)⊤
and the sample covariance matrix is
S =
5.8282 −1.3361 1.7434−1.3361 7.5816 2.2085
1.7434 2.2085 1.9713
i) Test the hypothesis H0 : µ = (0,−1,−1)⊤ at the significance level α = 0.01.
ii) Test the three hypotheses H0 : µ1 = 0, H0 : µ2 = −1 and H0 : µ3 = −1 and compare the results to i).
Question 2
Suppose a medical researcher hypothesises that a treatment consisting of the simultaneous administration
of two drugs is more effective than a treatment consisting of the administration of only one of the drugs. A
study is designed in which 20 subjects are randomly divided into 4 groups of 5 subjects each:
• Group 1: subjects are given a placebo.
• Group 2: subjects are given a combination of two drugs
• Group 3: subjects are given one of two drugs
• Group 4: subjects are given the other drug
The effectiveness of the drugs is measured by two response variables x1 and x2, reported in Table 1. Test
the hypothesis that the means of all the treatments are equal. Is the effectiveness of the drug given to the
third treatment group significantly different from the effectiveness of the drug given to to fourth treatment
group?
1
Table 1: Data for drug effectiveness study
Treatments
1 2 3 4
x1 x2 x1 x2 x1 x2 x1 x2
1 2 8 9 2 4 4 5
2 1 9 8 3 2 3 3
3 2 7 9 3 3 3 4
2 3 8 9 3 5 5 6
2 2 8 10 4 6 5 7
Means 2 2 8 9 3 4 4 5
Question 3
Two measurements were collected on each of 36 flea-beetles; 18 of the beetles were from a species called
Chaetocnema concinna and the other 18 were from another species called Chaetocnema heikertingeri. The
first variable consisted of the sum of widths (in micrometres) of the first joints of the first two tarsi (feet);
and the second variable consisted of the corresponding sum for the second joints. It is of interest to know
whether or not the population means of the two species are different.
The sample means are x1 = (181.50, 129.17)
⊤ and x2 = (205.06, 120.44)⊤ and the sample covariance
matrices are
S1 =
(
120.58 56.25
56.25 44.63
)
S2 =
(
203.94 73.42
73.42 47.14
)
Conduct a suitable hypothesis test. State your conclusion in words. What assumptions have you made in
constructing the test? Do any of these assumptions seem suspect with these data?
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