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The major task of the quality control analyst is to test and inspect the quality of products and services in order to determine their appropriateness. In this case, it is expected that the weight of a box of cereals is controlled. Statistical methods can be applied in the control of the weights of the boxes. On one hand, the work of a quality control analyst is very imperative in any organization for example, production firms (Duncan, 1986). On the other hand, however, there are many challenges that are expected to befall them.

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The Quality Control Analyst

Quality control analyst must be equipped with proper statistical analytic skills that will enable them to deal with prevalent challenges regarding the level of performance in the organization or firm. This paper will majorly deal with some of these challenges/problems and their solutions. In addition, it will aim at calculating the diverse facets of the data given, identifying the major questions at hand as well as solving the discrepancies from the statistical point of view. X bar and R charts will be used in the manipulation of the data.

The greatest task associated with the quality control analyst it to conduct tests aimed at determining the quality of raw, bulk, intermediate and finished goods. Sometimes he/she goes a long way to conduct stability sample tests. He/she is supposed to interpret the test results, compare then to establish their expected specifications and their control limit (Bruce, 2008). To a greater extent, he/she gives recommendations on the kind of data appropriate to be applied in a specific place. The analyst is expected to complete the documentation needed to be used in the testing procedures for instance, inventory forms, equipment logbooks or data capture forms.

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In a production or manufacturing environment, there is a possibility that there will be errors in measurements arising from machines, time, temperature, material and others (Grant et al, 1998). This has to undergo minor adjustments that ensure that the systems remain normal. This is the stock of thread of the quality control analysts. The processes require minor adjustments in favor of the other direction. If the change made is too much, it can lead to a drastic change to the other direction, therefore, the control analysts have to be very careful.

In the control chart that this paper will use, there are three significant points that will be considered. First is the Upper Control Limit (UCL), second is the Central Line (actual nominal weight of the Box of cereals), and thirdly is the Lower Control Limit (LCL). By collecting the data and analyzing it, the analyst can be able to detect any deviation that may arise in beyond one of the limits and devise mechanisms that will enable him/her to make any necessary adjustments (Duncan, 1986). It is required that a specific sampling plan is employed to collect data. The data can be collected at certain intervals in a day. For example, the data can be collected five times at a specified time interval in a day. The average of the data collected is also calculated to make the control chart.

Each of the values obtained then becomes a point in the control chart. The measurements collected in a day forms a subgroup. This is how the manufacturing or production company is able to regulate the weight of the boxes in this case. If the plotted points lie or fall outside the UCL or the LCL, some form of change should be initiated in the assembly or the manufacturing line (Bruce, 2008). The cause has to be found to enable it be dealt with in order to avoid further inconveniences. Thus, a preventive action or measure is taken. This enhances quality in the production or manufacturing sector.


In any process, for example production or manufacturing processes, it is expected that there will be a kind of variation sometimes. These variations can be divided into two. First, it is the natural process variation/ common variation/system variation. This is normally caused by the materials, natural flow of the process or the machines (Feigenbaum, 1991). The second is the special cause variation. This is normally caused by abnormal occurrence or some problem occurring in the system.

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