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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.

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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