Spss Output

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a. CONFIDENCE INTERVAL FOR ONE POPULATION MEAN. INTERPRET YOUR RESULT.

Wages is an important value to worker and economic growth. As we know wages are affected by many type of variable such as occupation, industry, age, gender, education and experience. In this paper we want to know whether wages have relationship with occupation. Before we proceed to this objective, firstly we want to know the range of wages at the period 2012. The way to know the range of wages at the end period 2012 is by conduct a confidence level method for the mean amount of wages in period 2012. From a one organisation we randomly select a sample of 80 workers has been selected, with 5% significant level for each analysis. Based on SPSS output below conduct this analysis and interpret the result. Variable: wages 2012

One-Sample Statistics|
| N| Mean| Std. Deviation| Std. Error Mean|
Wages2012| 80| 30533.09| 16782.760| 1876.370|
One-Sample Test|
| Test Value = 30000|
| t| df| Sig. (2-tailed)| Mean Difference| 95% Confidence Interval of the Difference| | | | | | Lower| Upper|
Wages2012| .284| 79| .777| 533.088| -3201.73| 4267.91|

b. CONFIDENCE INTERVAL FOR MEAN DIFFERENCE. INTERPRET YOUR RESULT.

Confidence level for wages 2012 has been calculated, now by using SPSS output for independent test. Find confidence level for mean difference in wages 2012 and occupation with 95% confidence interval and interpret the answer. Variable: wages 2012 & occupation

Group Statistics|
| occupation| N| Mean| Std. Deviation| Std. Error Mean| Wages2012| Clerical| 17| 27310.94| 8056.002| 1953.867| | Service| 17| 21107.94| 6830.495| 1656.638|
Independent Samples Test|
| Levene's Test for Equality of Variances| t-test for Equality of Means| | F| Sig.| t| df| Sig. (2-tailed)| Mean Difference| Std. Error Difference| 95% Confidence Interval of the Difference| | | | | | | | | Lower| Upper|

Wages2012| Equal variances assumed| 1.473| .234| 2.421| 32| .021| 6203.000| 2561.650| 985.091| 11420.909| | Equal variances not assumed| | | 2.421| 31.166| .021| 6203.000| 2561.650| 979.612| 11426.388|

c. T-TEST FOR ONE SAMPLE

For the further analysis, in 2012 a lot of people say that the wages among worker are more than RM30000 per worker. A sample of wages is selected from a one organisation, at the 5% significant level there is enough evidence to support the claim. Variable: wages 2012

One-Sample Statistics|
| N| Mean| Std. Deviation| Std. Error Mean|
Wages2012| 80| 30533.09| 16782.760| 1876.370|
One-Sample Test|
| Test Value = 30000|
| t| df| Sig. (2-tailed)| Mean Difference| 95% Confidence Interval of the Difference| | | | | | Lower| Upper|
Wages2012| .284| 79| .777| 533.088| -3201.73| 4267.91|

d. T-TEST FOR INDEPENDENT SAMPLE

The next analysis, in 2012 there a lot of worker say that clerical occupation wages is more than service occupation wages. A sample of worker from clerical and service occupation has been selected to conduct this analysis. At the 5% significant level, is there enough evidence to support the claim. Variable: wages 2012 & occupation

Group Statistics|
| occupation| N| Mean| Std. Deviation| Std. Error Mean| Wages2012| Clerical| 17| 27310.94| 8056.002| 1953.867| | Service| 17| 21107.94| 6830.495| 1656.638|
Independent Samples Test|
| Levene's Test for Equality of Variances| t-test for Equality of Means| | F| Sig.| t| df| Sig. (2-tailed)| Mean Difference| Std. Error Difference| 95% Confidence Interval of the Difference| | | | | | | | | Lower| Upper|

Wages2012| Equal variances assumed| 1.473| .234| 2.421| 32| .021| 6203.000| 2561.650| 985.091| 11420.909| | Equal variances not assumed| | | 2.421| 31.166| .021| 6203.000| 2561.650| 979.612| 11426.388|

e. T-TEST FOR PAIRED SAMPLE...
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