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BN121, BN422
Mathematics
Worksheet 3 solutions
Question 1
A company is manufacturing components with 3 separate production
processes. During the production process, 4 important faults in the
components are identified and the management seek to identify whether
there is a link between production method and identified fault. The company
recorded each incidence of a component with one fault produced in a given
time-period, sorted by production method and fault. The values are given in
the table shown
Factory 1 Factory 2 Factory 3
Scheme A 126 154 175
Scheme B 152 151 142
Scheme C 169 157 145
Scheme D 178 153 125
Determine, using an appropriate statistical test, whether or not the 4 faults
are arising equally across the three production methods. The steps involved
are:
1. Frame the null and alternative hypothesis.
2. Decide the level of significance, e.g. 0.05 or 0.01.
3. Look up critical values for 0.05.
4. Calculate the value of 2, from the data.
5. The null hypothesis is rejected if this exceeds the critical value.
Solution
The test proceeds as follows:
Framing the Hypotheses: The null hypothesis is that there is no
link between the faults and the method. The alternative
hypothesis is that there is a link.
We will take the level of significance as 0.01 (or 0.05).
The number of degrees of freedom is (4 1)(3 1) = 6.
Using the tables, the critical value for these parameters is 16.81
(or 12.59 for 0.05); this means
P[2 > 16.81] = 0.01 (or P[2 > 12.59] = 0.05).
The value found is 18.277, higher than the critical value of
16.81. The null hypothesis is therefore rejected, and we
conclude there is a connection between the faults and the
methods.
Question 2
As part of a study into the effects of smoking, a group of 70 students counted
the number of incidents of respiratory related illness during each of the four
seasons, among non-smokers (NS), light smokers (LS) and heavy smokers
(HS). Determine, using an appropriate statistical test, whether there is a link
between smoking and respiratory health across the four seasons. The results
are shown in the following table.
NS LS HS
Winter 8 14 16
Spring 4 11 10
Summer 0 4 6
Autumn 1 6 6
Question 3
A Study was carried out into what sports were played by residents of three
environments; Dublin city, the Commuter Belt towns and Rural areas. A
random sample of 320 people were classified by where they live, and asked
what sport they play on a regular basis. Determine, using an appropriate test,
whether there is a link between type of sport played and the urban/rural
environment. The results are shown in the following table.
GAA Soccer Rugby Other
Dublin 39 31 23 12
Commuter 48 45 26 34
Rural 18 22 18 4
Question 4
A pharmaceutical company is researching the effects of cigarette
smoking and urban pollution levels on the occurrence of respiratory
infections. A list of 1600 subjects were selected at random from 5
cities. Each subject was classified as non-smoker (NS), occasional
smoker (OS) or heavy smoker (HS). The cities were listed in order of
the recorded levels of pollution, City 1 with the lowest pollution and
City 5 the highest. The table below records the number of incidents of
respiratory infection in the subjects, counted for each city across the
three categories of subject. Carry out an appropriate statistical test to
determine whether the data suggests the smokers are suffering more
illnesses because of pollution).
City 1 City 2 City 3 City 4 City 5
HS 131 241 252 222 303
OS 52 54 68 63 85
NS 23 18 25 29 34