Introduction to descriptive statistics help:
Definition of Statistics:
In simple terms, statistics is termed as a branch of mathematics which basically deals with collection of data and its subsequent analysis and interpretation both qualitatively and quantitatively. In most of the cases the data is numerical, but there are also cases when the data is non-numerical such as relationship between objects.
Without statistics, it would be difficult to maintain anything numerical in nature and extremely difficult to go through the daily routines of life. Imagine watching a baseball match or basket match without knowing the score of each team or imagine going to a super mart trying to find the latest manufactured milk product without having the manufactured date printed on the milk product carton.
The person who is well versed in statistics is called a statistician and is supposed to have a good knowledge and understanding of the ways to collect data, maintain data, interpret/analyse data and finally present the data.
Help on Overview of Descriptive Statistics
Types of statistics:
There are many kinds of statistics being used out of which the most commonly used one is descriptive statistics which can be further sub-classified as numerical descriptive statistics and pictorial descriptive statistics.
Other forms of statistics are inferential statistics, psychological statistics, business statistics and so on.
Examples of Statistics
Numerical
1. Frequency distribution to
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
• Provide at least two examples or problem situations in which statistics was used or could be used.
For this week's lecture, Dr. David Laude focused on the reasons why people often hate statistics by giving his input on how it allows for the better understanding and evaluation of data collected. By illustrating different ways in which people use statistics to reach a conclusion, the professor was able to highlight the way these influence decision-making scenarios. To establish his point, the professor purposely explained statistics with the use of scenarios that would make students attentive on the subject. like the ways in which statistics measures a student’s capabilities to perform in the university.
A statistic is a numerical summary of a sample and a parameter is a numerical summary of a population.
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.
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 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
When I heard I had to take statistics I was ready to quit going back to school because everyone that had taken it years ago always told me how hard it was. So, when I became a student in my late blooming years saw that I had to take statistics I freaked out and was well on my way of quitting. Every time I would see I was scheduled to take the class I would change my schedule. Then I actually started the class and dropped it. Well, as you can see I am in the fifth week and writing this paper. I struggled this whole time with the homework assignments until I hired a tutor because I could not out this class off again. I have actually did pretty well when I changed my mind set on how I thought about the class and did indeed learn how to work excel, and do the assignments. Biostatistics allows you to knowledge to ultimately build educated selections regarding findings to include into your own repertoire of data and to follow. Inferential statistics is used when you are trying to reach conclusions that extend beyond the immediate data alone, Descriptive statistics are brief descriptive coefficients that summarize a given data set, and Studying to want to study things in groups statistics was very helpful when learning .
3) The performance of personal and business investments is measured as a percentage, return on investment. What
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 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
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.