What Is Statistics

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.

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.

In order to know whether the evidence of research studies are accurate, one must be able to have a fundamental understanding in statistical analyses to determine if such descriptions and findings within manuscripts and articles are presented correctly and explicitly (Sullivan, 2012). Proper use of statistics begins with the understanding of both descriptive and inferential statistics. Correct organization and description of data characteristics from the population sample being studied leads the researcher to identify a hypothesis and formulate inferences about such characteristics. It is with inferential statistics that researchers conduct appropriate tests of significance and determine whether to accept or reject the identified null

Statistics are used in many different ways in my workplace. The use of statistics is for the improvement of quality care and safety. Statistics are also used to measure employee compliance in regards to hand washing and proper use of policies and procedures. We also use charts and graphs to show infection rates, skin integrity, falls within the facility, budget concerns, and many more. These graphs help hospital personal improve care and safety to provide quality care to all patients. Graphs can also be used to measure patient and employee satisfaction.

In his 2013 book, Naked Statistics, Charles Wheelan explains a field that is commonly seen, commonly applied, and commonly misinterpreted: statistics. Though statistical data is ubiquitous in daily life, valid statistical conclusions are not. Wheelan reveals that when data analysis is flawed or incomplete, faulty conclusions abound. Wheelan’s work uncovers statistics’ unscrupulous potential, but also makes a key distinction between deliberate misuse and careless misreading. However, his analysis is less successful in distinguishing common sense from poor judgement, a gap that enables the very statistical issues he describes to perpetuate themselves.

In our textbook, Stephen Lucas (2012) writes, “Darrell Huff exploded the notion that numbers don’t lie. Strictly speaking, they don’t. But they can be easily manipulated and distorted” (Lucas, 2012, p. 148). He then gives examples of how easily statistics can be used to deceive instead of inform. Statements that are made can have some truth to them. However, they tend to omit certain specifics that could persuade one to believe that it is the truth, the whole truth and nothing but the truth. Statistics can be used to mislead invalidating a theory or to support an opinion.

Statistics and the Christian Worldview In the world of statistics, it can be argued that there are some questions in how ethical statistics can be. Whether or not it is always truthful and what can be done to make it more trustworthy to even those with a Christian worldview. This essay will go through some of the underlying issues of statistics and how it can be incorporated into a Christian worldview.

When studying statistics, it is important to look all aspect of it, such as the statistical ethical guidelines. Another important to look at is how Christian World view can be applied to statistics. In this essay, the following will be discussed: statistical ethical guidelines, ethical issues from a Christian World view, and ethical issues.

The given information is related to 30 major League Baseball teams for the 2012 season. Here, the sample size is large (n 230) but the population standard deviation (a) is unknown. So, apply one sample t confidence intervals. Find the 95% confidence interval for the mean number of home runs per team. Using MINITAB, following are the steps to obtain the 95% confidence intervals for the population mean. 1) Import the data into one column named as RUNS, 2) Choose Stat Basic Statistics 21-Sample t... 3) Select the Samples in columns option button, 4) Click in the Samples in columns text box and specify RUNS. 5) Click the Options...button, 6) Enter 95% in the confidence level text box. 7) Click the arrow button at the right of the Alternative drop-down list box and select not equal, 8) Click OK twice. output: One-Sample T Runs Variable 30 164.47 32.97 Mean StDev SE Mean 955 CI Runs 6.02 (152.15, 176.78) From the above output, the 95% confidence interval for the mean number of home runs per team is lies between 152.15 and 176.78

Despite the common assertion that all math is inherently difficult, statistics is rooted in simple mathematical concepts. Descriptive statistics, as depicted by author Charles Wheelan in Naked Statistics: Stripping the Dread from the Data, is a way to summarize raw data in order to make immense data sets more manageable and understandable (2013). As Wheelan points out, everything from presidential elections to baseball games can be summarized using statistics (2013). One of the most prevalent uses of statistical analysis is to summarize data in order to reflect the health of the U.S. economy, specifically through gross domestic product (GDP). Wheelan touches on the subject of how statistics can be used in conjunction with economics; however, there is much more he does not mention. The health of the U.S. economy is imperative to every American. It dictates whether it is a good time to splurge on a pricey vacation, invest in a new company, or save for the future. The only way to truly understand the current status of the U.S. economy is by being able to interpret statistical analyses accurately, which may be trickier than it appears. Just like any other topic, it starts with the basics (mean, median, etc.), but Wheelan soon makes it apparent that things become a bit more complicated when one looks past the fundamentals of statistics (2013). Interpreting statistical analyses is more than just being able to read charts and graphs. Descriptive statistics is rooted in simplicity;

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

It is not likely that you will go one day without hearing at least one statistic quoted if you watch or access news media or sports programming here in the United States. Statistics are prevalent in most of our daily lives, in fact I would venture to say Americans are obsessed with percentages, probabilities and ratios. Of course there must be some form of tangible evidence to report trends for example, which can be accomplished with good statistics not overbearing statistics. So, why is it that so many are quick to believe reported statistics, even when they appear exaggerated? In this report I will examine people’s faith in statistics, provide an example of statistics taken out of context, and determine how the media