Assignment on Apply Descriptive Statistics

Overview of research problem Apply Descriptive Statistics

As the word have become more developed and due to the advancement of the new techniques and technologies, the patients expectations from the healthcare departments and the organizations has also increased. The staff in the hospitals including the support staff and the nursing staff have been given proper training to utilize the new modules of technologies so that they can perform well and can fulfill the requirements and meet the expectations of the patients that they have from their desired healthcare organization (Johnson, 2016). With the passage of time, the business organizations are also utilizing the new technologies to efficiently compete in the market. Same is the case with the healthcare organizations they have also implemented the new technologies as to increase the working efficiency of the healthcare organizations. Still, it essential to define that how the data science can prove essential in changing the people’s life and how it will help the doctors, medical staff and the physicians to cope up with the new challenges of the community like influenza.

Statement of the Research Problem

The research study is conducted to evaluate the particular ways and reason in order to apply the descriptive statics and it will evaluate the particular role of the descriptive statics in the medical field. The health care department is totally riles upon the descriptive statics in order to calculate and measure the values for the requirements of the patients.

Quantitative Research Question and Hypotheses

Research Questions Apply Descriptive Statistics:

The research questions are developed in order to answers the research problems and highlights the important points of the research question. The research questions are particularly developed in order to answer and evaluate the important points related to the descriptive statics and its applications in the medical field and healthcare department. These questions are stated as;

·         How the lives of the working staff of hospitals and patients can improves by the role of data science?

·         How the data science is important in the field of the healthcare department?

·         What is the effect of the data science on the health of the patients working staff in hospitals?

Hypothesis Apply Descriptive Statistics

H₁: Data science is help for the health of the patients being latest technology.

H₀: Data science is not help for the health of the patients being latest technology.

H₂: There is a positive impact of the data science on the lives of the working staff of the hospital 

H₀: There is not positive impact of the data science on the lives of the working staff of the hospital.                                                        

Variables that are need to be measured  by Apply Descriptive Statistics                                                                          

There are three significant factors in this exploration study for example Information science, patients' lives, and medicinal staffs help. The principal variable for example information science is reliant variable while other two factors for example patients' lives and medicinal staff help are the free factors. Information science alludes to the multidisciplinary mix of innovative, calculation improvement, and information derivation so as to take care of the scientifically mind boggling issues.

Then again, patients' lives allude to the lives of patients that is thought to be improved with the assistance of information science and restorative staff help is an assistance to doctors, specialists, and other medicinal staff that is thought to be helped through information science. The entirety of the three factors will be estimated through roundabout estimation strategy as the qualities will be gotten by estimating the connections between the physical amounts (Giudici, Ingrassia, & Vichi, 2013).

Table 1

Subject	Data Science	Patients’ Lives	Medical Staff Assistance
Health 1	5	5	4
Health 2	4	5	5
Health 3	4	5	5
Health 4	5	4	5
Health 5	5	5	4

 Data Scale and the Data Type:

To achieve the variables of this research, the data will be collected through the questionnaire survey and in the questionnaire; Likert scale is used defining the five options for the target population to fill it. The questions in the questionnaire are based on the research questions made above. The data of the variables that are discussed above is continuous and the reason of the continuous data is that it belongs to an interval that might be finite or infinite and the data collected is original because he data collected is the categorical data (OSWEGO, 2019)

Mean Median and the Mode:

Explicit to every factor, mean, median, and mode tell the practically same thing. Mean, median, and mode tell the midpoints of the information; mean tells the normal estimation of these three factors, median tells the center estimation of these three factors, and mode tells the most rehashed estimation of these three factors. For the previously mentioned research question, if the estimation of mean, median, and mode are not same and went out to the various qualities then the best portrayal of information will be middle on the grounds that the information sort of these factors is ordinal and the middle is the best estimation of the inclination for ordinal information in light of the fact that such information has a slanted dissemination (OSWEGO, 2019).

Standard Deviation and Range:

The standard deviation is a factual test indicating the portrayal of the spread of information that how generally the information is disseminated about the normal worth. On the off chance that the standard deviation for variable 1 for example information science is little, at that point it implies that the purpose of the information is near the mean worth or anticipated estimation of the information. A little estimation of standard deviation shows that a greater amount of the qualities in the dataset are grouped about the normal or mean of the information.

This examination of the dataset to the methods tells different things that relies upon the idea of information. Besides, on the off chance that the standard variable for variable 3 is huge, at that point it implies that the purpose of information in factor 3 is spread out over the expansive qualities' range. In addition, the scope of the information gives the more clear image of the information dissemination since it shows the littlest and biggest estimation of the information, one can without much of a stretch realize that the estimations of some particular dataset exist in these most extreme and least worth. The overall size of the standard deviation matters less as it tells about the information structure that changes nature to the idea of the information (Giudici, Ingrassia, & Vichi, 2013).

Histograms:

A histogram tells the appropriation of the variable and it plots quantitative information with the information run. On the off chance that the histogram or reference diagram for variable information science is to some degree straightened in the center with almost vertical tails as opposed to being an ideal chime bend, at that point this perception of the chart shows that the circulation of dataset is kurtosis. While then again if the histogram or reference diagram for patients' lives has the high point (bump) moved to one side and the tail off to the privilege is lengthened then the representation of that chart propose that appropriation of the informational collection is slanted (Giudici, Ingrassia, & Vichi, 2013).

References Apply Descriptive Statistics: