Hello, I am looking for someone to write an essay on Statistical techniques in engineering Management. It needs to be at least 500 words.(d) Since central limit theorem uses a sample of the population

Hello, I am looking for someone to write an essay on Statistical techniques in engineering Management. It needs to be at least 500 words.

(d) Since central limit theorem uses a sample of the population that is chosen at random it will not affect the location and the spread of the data. The data will follow the same normal distribution curve as the entire population. The mean, median and mode will be the same or approximately the same as that of the entire population.

(b) Fixation indices- is the description of the expected level of heterozygosity in a given data. It is used to determine or measure the correlation between data drawn from different levels of a subdivided entire set of data.

(c) Analysis of Variance (ANOVA)- is set of statistical models and the procedures entailed, in which the variance in one variable is subdivided to different sources of variations. It is commonly used to test average of different groups of set of data.

Because if the process inputs are correct and accurate, if the method of calculating and analyzing are correct the process output will be accurate or near accurate. If you concentrate on a process output the inputs might not be correct and even with the correct analysis the the output is bound to be wrong and therefore misleading.

(a) Primary Data-this kind of data is collected specifically with its objective in mind. It was collected for a specific purpose. An example is data collected from staff or clients in form of questionnaires or data collected from the variation of a product in a manufacturing process.

(b) Secondary data- is data that was collected for a specific purpose but now it is being reused for another different method. For example using questionnaires and initial analysis to calculate the viability of something new or use of initial set of variations results of a product to predict the likelihood of it occurring