Descriptive Statistics In The Best Restaurant

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INTRODUCTION
Descriptive statistics can be defined as statistics that summarizes data that is collected from a research. One way of summarizing research data is by calculating the measure of central tendency. Examples of measure of central tendency includes mode, mean and Midian. Data can also be summarized in respect to variance. When the scores are more spread out of the mean, there is a greater variance.
DESCRIPTIVE STATISTICS
If I were to collect a sample, concerning Best Restaurant I would use the following descriptive statistics to summarize my data. The first descriptive statistics is mean. Here I will get on averagely how many customers come at a particular time. For example, how many customers come in the morning for breakfast or in …show more content…

For example, where will be Best Restaurant in the next five years? In this case, I try to analyze and see the probability of Best Restaurant expanding and getting more employees. This depended on many factors for example the financial factors, how the management team is organized and willingness to take risks. There are some indicators that will tell whether the organization will improve or not. For example, if the organization in this case Best Restaurant is financially stable then the probability of it improving is …show more content…

There is success of data points. These are plotted through line charts and mainly used in statistics. They are also used in forecasting. A time series helps one to draw meaning from the collected data not just only the characteristics of the data. The methods of time series are categorized into frequency based and time based (Anderson, 2011). The frequency based are the one that will show how often a problem occurs in an organization. For example, in Best Restaurant, we can see that the problem is frequent.so when using the time series, we will able to predict how long it will take for the organization to improve in terms of performance. In the domain of time, we are able to predict duration. If for example the organization has capital how long will it take to set up a new building at the same time employ enough

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