Statistics are sets of mathematical equations that are used to analyze and interpret what is happening in the world around us. In fact statistics are used on an everyday basis such as;
Official statistics are quantitative data produced by local and national government bodies, and can cover a wide range of behaviour including births, deaths, marriages and divorce, income, crime, and work and leisure. Official statistics can be produced as a by-product of the normal workings of a government department, but they can also result from research designed specifically to produce them.
Statistics provides us with very useful tools and techniques that aide us in dealing with real world scenarios. I have been able to learn several useful concepts by studying statistics that can aide me in making rational and informed decisions that are supported by the analysis results. Statistics as a discipline is the application and development of various processes put in place to gather, interpret, and analyse the information. The quantification of biological, social, and scientific phenomenons, design and analysis of experiments and surveys, and application of
Statistics uses math to determine whether or not an experiment happened by chance. In other words, it determines the probability of your results being by chance or if it is factual data. The mathematical ways of determining probably include looking at mean, standard deviation, mode, and median. This experiment will use statistics to test the probability.
Statistics involves framing questions in a context, then collecting and analyzing data for interpretation. Probability is about chance and fairness with assigned values. Many mathematics instructors teach this discipline in a procedural manner, causing students to miss its essence.
The four levels of measurements are nominal, ordinal, interval, and ratio. I work on a pediatric hematology/ oncology floor where we have a bed capacity of 18. At times our pediatric census is low and we will have adults transferred to our unit as overflow. We use the nominal measurement to determine how many adult (A) patients we have and pediatric (P) patients we have. We use this measurement to classify the patients and the letters in this case are used to classify the data. It also helps the nurses know what our patient load is should an emergency arise. Ordinal level of measurement is used to determine the charge nurse on our floor. The most senior nurse on the floor working that day is in charge because she/ he have been there the longest. It is a ranking system that is not evenly spaced out but there is clear reasoning behind it. An interval measurement is the difference between two values and we use this measurement at work while taking temperatures on our patients. For example, if the temperature is 39.5 Celsius and 36.5 Celsius they have the same difference as between 39.0 Celsius and 36 Celsius. This measurement shows a scale from a low interval to a high interval. Ratios are also done when we weigh our patients. There is always an absolute zero when working with ratios, meaning that the can be no number that falls below zero. If we have a patient who weighs 15kg and weigh them again and they weigh
Descriptive statistics are very important because if we simply presented our raw data it would be hard to visualize what the data was showing, especially if there was a lot of it. Descriptive statistics therefore enables us to present the data in a more meaningful way, which allows simpler interpretation of the data. For example, if we had the results of 100 pieces of students' coursework, we may be interested in the overall performance of those students. We would also be interested in the distribution or spread of the marks. Descriptive statistics allow us to do this. How to properly describe data through statistics
Stats 250 is one of the biggest classes at the university of Michigan. It's a class with concepts that is applicable to life, therefore stats 250 is one of the requisites for many majors at the University of Michigan. I have personal never official taken a stats course until this semester, however I never noticed how much I used stats in my logic and reasoning up until now. In the future, I plan to be apart of and hopeful conduct my own research one day. Stats will come on handy for this very purpose. For instance, in order to best interpret my data, I would need to know the basics ideas of concepts we have learned in stats. Concepts such as, testing competing theories, errors, sample size and what is statistical
There are ten things stats is very important for such as: weather forecasts, emergency preparedness, predicting diseases, medical studies, genetics, political campaigns, insurance, consumer goods, quality testing, and the stock market. Weather forecasts use stats to predict the weather using prior conditions, the weather forecasts tells us how to prepare for the day and what to expect throughout the day. Emergency teams use the weather forecasts to tell them to be ready or not to help people they use statistics to tell them when danger may occur. When predicting disease the lady or man telling you about the deaths or the disease is spreading it may not
Statistics provide hard and fast numbers or evidence to support what is being reported. If statistics are present we may instantly believe what we hear. On the other hand, little or no statistics are presented may result in instant skepticism or disbelief.
A statistician is an expert in the preparation and analysis of statistics. All statisticians have to use math on a daily basis whether it be just adding or collecting data to calculate formulas. A sports statistician can have many different roles from adding up shots to calculating a passer rating for a quarterback. A mathematical statistician is responsible for producing statistical data that is unbiased, accurate and trustworthy. Biostatisticians produce drugs and other products that allow humans and animals alike to live healthier lives by using lots of data and research. Statisticians incorporate math on a daily basis whether it be basic or advanced, a sports statistician adding up shots, a mathematical statistician
Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the physical and social sciences to the humanities. Statistics are also used for making informed decisions and misused for other reasons in all areas of business and government. Statistical methods can be used to summarize or describe a collection of data; this is called descriptive statistics. In addition, patterns in the data may be modeled in a way that accounts for randomness and uncertainty in the observations, and then used to draw inferences about the process or population being studied; this is called inferential statistics. Both