Statistics : Statistics And The Collection, Analysis, Interpretation, And Presentation Of Masses Of Numerical Data

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 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.

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.

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

A company with factories located in New York and Michigan produce yarn, using two different types of machines; JC980 and VH80. Each factory uses only one machine type. The sample size is at 1 391 factories.

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;

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Use the given degree of confidence and sample data to construct a confidence interval for the population proportion. 1) Of 346 items tested, 12 are found to be defective. Construct a 98% confidence interval for the percentage of all such items that are defective. A) (3.34%, 3.59%) B) (1.18%, 5.76%) C) (1.85%, 5.09%) D) (0.93%, 6.00%) E) (0.13%, 6.80%) 2) Of 81 adults selected randomly from one town, 64 have health insurance. Construct a 90% confidence interval for the percentage of all adults in the town who have health insurance. A) (71.6%, 86.5%) B) (67.4%, 90.7%) C) (70.1%, 87.9%) D)

Damned Lies and Statistics Reflection Damned Lies and Statistics by Joel Best gives the reader a whole new perspective on the idea of quantitative data. His central argument is that just because someone gives you a statistic doesn’t mean that statistic is accurate. He informs people to pay attention to the statistics that they see and hear about. People naturally assume that because they are being given a number, that number has to be true. Joel Best teaches us to be more observant of numbers and to ask questions such as who is presenting these numbers and why they are presenting them.

As I mentioned above the focus is on increasing insurance rates on males based on their age, gender, and marital status. Insurance companies like to increase insurance for males for the reasons above. Instead of making it equal access for everyone and starting off with a flat, basic rate that would go up based on speeding tickets and accident claims.

Insurers also look at the gender and age of the driver, credit score, profession, marital status and location.

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

Why are men’s insurance more expensive than women? Other than men drive more and tend to choose more expensive cars making their insurance more expensive. Insurance companies do this because men are more likely to dui (Driving under influence), drive fast and not wear a seat belt, more likely to drive too many passengers, also men and women from 16-25 auto accidents double making insurance higher. After stating all the facts' insurance companies use when charging men more for insurance it shouldn't change and insurance companies don’t only look at the gender and put down a price your personal driving records are much more important than gender.

In today’s busy world and shrinking economy, finding cheap car insurance that is below the national average for car insurance rates can be quite a daunting and tedious task. Affordable auto insurance rates are getting less and less “affordable” and more and more complicated and with higher premiums and deductibles. Obtaining affordable coverage used to be determined by the make, model and year of the car you drive and how clean your driving record is. These days, it is determined by many factors such as: