2091 Words9 Pages

BIO 2003 SUMMATIVE ASSIGNMENT 2

Introduction:

The report analyses the result of a study on workers from brick and tile industries conducted by the Health and Safety Laboratory (HSL). HSL put down few criteria’s to the workers which being that neither of the workers from the tiles and brick industries should have worked in both the industries and that they did not smoke. The criteria’s put across was an assurance to attain reliable results.

The essence of the study lies in detecting any difference in the health of the workers in these industries (as identified by cell damage) if any and also to determine if any relationship exists between the length of service and the recorded health effect.

The Null Hypothesis (Ho) states that no*…show more content…*

This is concluded from the histogram above which exhibits that the bar values which is the % damaged cells for brick operation is higher than the bar value of the tile operation. We have used a histogram, as it is one of the important tools for a data analysis.

Figure 3:The Test For Equal Variance.

The values of the estimated equal variances show no difference in the % cell damage of the workers from the brick and tile operations’-value obtained from the Levene’s Test is 0.200 which is also higher than 0.05 implies that the hypothesis of difference cannot be rejected. The value of the F-Test is 0.952 which being higher than 0.05 shows also shows no signs that the null hypothesis (H0) should be rejected and also that there is no difference between %cell damage of workers from brick and tile operations. The obtained values from the test for equal variance point out to an abnormal distribution of data stating the acceptance of the null hypothesis. Hence no clear evidence of a difference in the median among the % damaged cells in the workers of both the operations.

Figure 4:Normal Distribution Graph For Brick And Tile Operation.

Figure 4 illustrates a normal distribution graph for tile and brick operations. The figure above shows that the %damaged cells of brick and tile operations are not uniformly distributed, as the points are not scattered about a straight line. There is evidence that the

Introduction:

The report analyses the result of a study on workers from brick and tile industries conducted by the Health and Safety Laboratory (HSL). HSL put down few criteria’s to the workers which being that neither of the workers from the tiles and brick industries should have worked in both the industries and that they did not smoke. The criteria’s put across was an assurance to attain reliable results.

The essence of the study lies in detecting any difference in the health of the workers in these industries (as identified by cell damage) if any and also to determine if any relationship exists between the length of service and the recorded health effect.

The Null Hypothesis (Ho) states that no

This is concluded from the histogram above which exhibits that the bar values which is the % damaged cells for brick operation is higher than the bar value of the tile operation. We have used a histogram, as it is one of the important tools for a data analysis.

Figure 3:The Test For Equal Variance.

The values of the estimated equal variances show no difference in the % cell damage of the workers from the brick and tile operations’-value obtained from the Levene’s Test is 0.200 which is also higher than 0.05 implies that the hypothesis of difference cannot be rejected. The value of the F-Test is 0.952 which being higher than 0.05 shows also shows no signs that the null hypothesis (H0) should be rejected and also that there is no difference between %cell damage of workers from brick and tile operations. The obtained values from the test for equal variance point out to an abnormal distribution of data stating the acceptance of the null hypothesis. Hence no clear evidence of a difference in the median among the % damaged cells in the workers of both the operations.

Figure 4:Normal Distribution Graph For Brick And Tile Operation.

Figure 4 illustrates a normal distribution graph for tile and brick operations. The figure above shows that the %damaged cells of brick and tile operations are not uniformly distributed, as the points are not scattered about a straight line. There is evidence that the

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