Category Archives: Statistics

What Are Descriptive Statistics Essay

INTRODUCTION

Statistical procedures can be divided into two major categories: descriptive statistics and inferential statistics. Typically, in most research conducted on groups of people, you will use both descriptive and inferential statistics to analyse your results and draw conclusions. So what are descriptive and inferential statistics? And what are their differences?We have seen that descriptive statistics provide information about our immediate group of data. For example, we could calculate the mean and standard deviation of the exam marks for the 100 students and this could provide valuable information about this group of 100 students.

Any group of data like this, which includes all the data you are interested in, is called a population. A population can be small or large, as long as….

Sports Statistician Essay

A little over a year ago, when I was a senior in high school was when I first took my first statistics class. At first, the class seemed boring, due to the fact that all we did at the beginning of the year was memorize key terms. However, later on throughout the year, I have learned to love the subject. It is my favorite branch of mathematics, and that is why I am currently majoring in Math and Science Statistics at Kean University.

I wish to become a mathematics high school teacher, specifically teach Statistics.

Since being a teacher only requires you to work about 8 hours a day, plus you get to have about 2 months off, my second career would have to be a sports A….

Electrical Submersible Pump Survival Analysis Essay

Petroleum Engineer, Chevron Corp. & Masters Degree Candidate Advisor Dr. Jianhua Huang With help from PHD Candidate Sophia Chen Department of Statistics, Texas A&M, College Station MARCH 2011 ABSTRACT A common metric in Petroleum Engineering is “Mean Time Between Failures” or “Average Run Life”. It is used to characterize wells and artificial lift types, as a metric to compare production conditions, as well as a measure of the performance of a given surveillance & monitoring program.

Although survival curve analysis has been in existence for many years, the more rigorous analyses are relatively new in the area of Petroleum Engineering.

This paper describes the basic theory behind survival analysis and the application of those techniques to the particular problem of Electrical Submersible….

Electoral College USA Politics 30 Marker Essay

Evaluate the view that despite criticism’s, the Electoral College is by far the best method of electing the US President. (30) The Electoral College is an institution established by the Founding Fathers to elect the President indirectly. The Electoral College never meets, instead the presidential Electors – whose numbers equals the number of representatives and senators the state has in the United States Congress- meet to cast ballots for the President and Vice President.

Ever since the Electoral College was established the electioneering system has received major criticism for its over-representation of small states.

One could suggest more densely populated states such as California are at a disadvantage when one compares the voter population to Electoral College numbers. Compared to….

Common Levels of Data Measurement Essay

Four common levels of data measurement follow. •Nominal Level. The lowest level of data measurement is the nominal level.

Numbers representing nominal level data (the word level often is omitted) can be used only to classify or categorize. Employee identification numbers are an example of nominal data. The numbers are used only to differentiate employees and not to make a value statement about them. Many demographic questions in surveys result in data that are nominal because the questions are used for classification only.

Some other types of variables that often produce nominal-level data are sex, religion, ethnicity, geographic location, and place of birth. Social Security numbers, telephone numbers, employee ID numbers, and ZIP code numbers are further examples of nominal data. Statistical….

Develop some hypotheses to explore, as well as listening to what the client says about himself

Hypotheses

Hector is a 35-year-old Hispanic male. Hector was seriously injured   in an auto accident 5 months ago. He spent 4 months in the hospital.   One leg and hip suffered permanent damage. He will probably always   need a cane and walk with a limp. He also has limited mobility in his   right arm and shoulder and cannot lift anything heavy.

Hector grew up in a family with a construction business. He has been   working in construction since high school. Social work at the rehab   hospital referred Hector to counseling because he is not adjusting   well to his injuries. He is very depressed and angry because he cannot   continue to work in his chosen occupation. Hector says, “What   use am I now? I am the man in the family…..

Using SPSS and Microsoft Word, complete problems 1 through 10 on pages 367–370 in the Ross textbook. Show all work. Submit both your SPSS and Word files for grading.

SPSS and Microsoft Word

As a current or future health care administration leader, how will you decide which statistical test is most appropriate for the goal of monitoring, tracking, or overseeing operations in your health services organization?

Each statistical test is dependent on a given set of research parameters and expectations. As you have examined throughout this course, understanding why and when to use each statistical test is necessary in conducting the tests for process control and comparison. Thus, chi-square tests are useful for table data, ANOVA for a single quantitative dependent variable and categorical independent variables, and ANOM for analysis of mean differences. Regression modeling is useful for determining the influence of independent variables on a quantitative dependent variable.

For this Assignment, review the resources for this….

why and when to use each statistical test is necessary in conducting the tests for process control and comparison

ANOVA

As a current or future health care administration leader, how will you decide which statistical test is most appropriate for the goal of monitoring, tracking, or overseeing operations in your health services organization?

Each statistical test is dependent on a given set of research parameters and expectations. As you have examined throughout this course, understanding why and when to use each statistical test is necessary in conducting the tests for process control and comparison. Thus, chi-square tests are useful for table data, ANOVA for a single quantitative dependent variable and categorical independent variables, and ANOM for analysis of mean differences. Regression modeling is useful for determining the influence of independent variables on a quantitative dependent variable.

For this Assignment, review the resources for this week regarding chi-square,….

The Scientific Method:Discuss the significance of the scientific approach to the development and advancement of human knowledge.

The Scientific Method

After considering the scientific method explained in the textbook, write an essay about how it compares to the way nonscientists approach problems. Identify some problems that are solvable scientifically and some that are not. Using one or two small problems, describe the process you would go through in solving that problem using the scientific method. Discuss the significance of the scientific approach to the development and advancement of human knowledge. Your essay should be about 300 words.

Biology consists of a great deal of knowledge. Much of that knowledge takes the form of facts that we refer to as theories. Or perhaps this is better understood by saying that biologists treat theories as though they were facts. But, they are special kind of fact. They….

Develop a 700-word report including the following calculations and using the information to determine whether the new billing system has reduced the mean bill payment time

Confidence interval Assuming the standard deviation of the payment times for all payments is 4.2 days, construct a 95% confidence interval estimate to determine whether the new billing system was effective. State the interpretation of 95% confidence interval and state whether or not the billing system was effective. Using the 95% confidence interval, can we be 95% confident that µ ≤ 19.5 days? Using the 99% confidence interval, can we be 99% confident that µ ≤ 19.5 days? If the population mean payment time is 19.5 days, what is the probability of observing a sample mean payment time of 65 invoices less than or equal to 18.1077 days?