Statistics in the workplace - Essay Example

Health statistics gives information on the health matters of people. This means that every person is part of a health statistic. To get knowledge, an organization first gathers data, these data is processed into facts and figures which are transformed into information. Statistics has several other uses such as making decision on the relevant staffing needs of the hospital facility in relation to information or data collected frequency or number of patients a hospital has per period of time. Some of the many ways in which statistics can be used in rehabilitation health facility include: to carry out surveys on patient satisfaction or employee satisfaction, to carry out tests or experiments on new procedures just to mention but a few.

There are various branches of statistics, the two main branches are; descriptive and inferential statistics. Descriptive statistics Descriptive statistics is a branch of statistics that describes data that has been gathered revealing the trends and patterns of the information. Descriptive statistics illustrates how data is dispersed but does not test any hypothesis so as to form a conclusion on the basis of that data (Bennett, Briggs, Triola, 2009). In healthcare, descriptive statistics is used for various purposes. . The patients who consent to the trial will undergo close monitoring during the study through close observation and evaluation.

The results will be based on specifics such as the degree of side effects, rate of recovery and they are not charged for the process. Descriptive statistics basically uses aspects such as means of central tendency and dispersions these are mean and standard deviation respectively. In this example the mean will be used to give the overall impact of the procedure towards rehabilitation while standard deviation might be used to show how stable or unstable the drug may be. Stability simply means the uniformity in the way patients react to the procedure, therapy or drug.

Inferential statistics is simply a method through which conclusions about an aspect of a population is drawn from a sample. A sample is a finite subset of a population. This is the procedure of selecting and using a sample statistic to draw conclusions about the population parameters and eventually the population. It is used when we have access to a sample but not the population. Statistical inference uses two methods namely; point estimate and hypothesis testing. The estimation method is usually used to inferences where information about a population is in the given sample.

There are two kinds of estimates which are point estimate and interval estimate. The estimates are used to make inference on the population parameters. An example of point-estimates is the mean weight of patients in the hospital while an interval estimate is the range within which we expect the mean of a population to fall at some level of confidence say 95%. Hypothesis testing on the other hand is the