Statistical Control Process



Statistical Control Process

Introduction

The use of control charts is very common in business analysis where the demand of the goods is being kept under the control that whether the process is controlled or not. Even in the manufacturing of the goods, control charts are used to determine the structure of the process. It can also be used to determine some small house hold analysis i.e. the whole process of getting ready to work is controlled or not. This shows that whether the person is spending the same amount of time in getting ready and go for work or whether their exist variations in it.

The basic analysis for spending the amount time in getting ready and go for can be determined through descriptive statistics where mean, median, mode and standard deviations play a vital role in providing basic data analysis but there are some statistical processes which are now being used to analyze such things and one of them is the Quality Control Process. This process gives a graphical point of view and produces best upper and lower boundaries for the process. The major part of the process is the centre line which is also known as the control line (CL) and through which all the data points are normally distributed. If the points lie in the graph of that particular process, within the upper and lower control limits i.e. UCL and LCL, then the process is said to be under control and if some points lie outside that particular limit then the process is called uncontrolled. It happens in such processes that one or two points lie outside the acceptable control range, then we usually not say that the process is not controlled and we neglect those one or two points or outliers present in the process.

Data Analysis

Descriptive statistics Analysis

The manipulation of data has been done in such a way that the person usually wake up at 7am in the morning which is represented as 700 time and then moving forward in the similar way. This has been explained because managing per minute time since after the snooze alarm would a difficult task to manage and the descriptive analysis i.e. mean would not give the correct answer. Now as the mean time of hitting the snooze alarm is 769 minutes means that the person wakes up almost 1 hour late after the alarm starts snoozing.

The descriptive statistics gives very significant and reliable answers in the first process. This gives the simple analysis and through the results we can analyze that the average time at which the alarm bell rung and the people hit snooze button in the morning is 7am. This result is significant because the mean=median=mode. Though there exist some standard deviation which should exist in the presence of a true analysis but the above conditions made this result significant. Then after hitting the snooze button, they open their eyelid in at the median time of 7:12 am. This is almost the average time but in the ...