Nursing and Statistics Name Nursing and Statistics When most people think of nursing the last thing they usually think of is statistics. However the use of statistics has become a very important part of nursing today. Consider the following quote: “Systematically collecting, analyzing, interpreting, disseminating, and using health data is essential to understanding the health status of a population, to assessing progress, and to planning effective prevention programs. Therefore, data are the foundation of Healthy People objectives” CITATION USD00 l 1033 (U.S. Department of Health and Human Services, 2000). Health data is a massively growing field. The pure number of statistics that are...

# Free Statistics Essay Samples With Topic

Name Tutor Course Date Statistics Over the past years, I have believed that there is a relationship between the age of the dogs and the number of vet visit that they receive per year. I decided to conduct a survey regarding the matter and recorded the findings as stated in this discussion. I have a female pet dog that is currently six years old. In last year, she has had four pet visits. I intend to gather data by way of interviews. The participants will be the surrounding neighbors who have dog pets. All the participants will be visited in their residence for the interview, and the study will take place in their home as it is where the pets will be observed. In the research, the ethical issue...

Name of the Student Professor’s Name Statistics Date APPRAISAL OF AMY TAN’S WORKS Background Amy Tan is an American writer whose creations are based on exploring the relationship between mother and daughter and the Chinese- American experience. Her renowned novel is “The Joy Luck Club” which is published in 35 different languages and has been filmed too. To understand the novels of the author, it is prudent to understand the background of Amy Tan. She was born in Oakland, California and was amongst the three children of Daisy Lee. Daisy Lee was a Chinese immigrant who married John Tan, an electrical engineer and a Baptist Minister. The childhood of Amy Tan was very sad...

Does Total Cholesterol and Cigarette Smoking Act as Suitable Predictors of MI: An analysis of Framingham Trial Subset Data Introduction The Framingham Heart Trial is one of the most elaborative trials, which was conducted to evaluate the cardiovascular risk factors as all-cause morbidity and mortality. Various biochemical, cardiovascular and physical parameters were collected. These factors were correlated and regressed in various forms to understand the potential risk for cardiovascular ailments. These included stroke, myocardial infarction and coronary heart diseases. The review of literature suggests that smoking leads to vasoconstriction and hence it may be speculated to cause constriction of...

Unemployment is a concern in various countries and there are various econometric determinants that influence the rate of unemployment. The present study was conducted to evaluate the question that “Does Inflation Rate and Year-over-Year GDP% act as significant predictors of Unemployment Rate”? The common variables considered for the prediction of the unemployment rate are Inflation, GDP, Fiscal Deficit, Rate of Interest provided by the financial instruments, and Debt/GDP. The study was conducted to identify the impact of Inflation Rate and Year-over-Year GDP% on the Unemployment Rate. Such a study may provide a roadmap for policymakers and Governance to identify the factors which may reduce the...

Name of the student Professor’s Name Technology 5th November 2015 Discussion and Conclusion The potential issues and limitations of my results may be briefed as follows. First of all, the statistical tests conducted provided ample evidence that the mean household income of the individuals in 2013 is significantly greater than 2012 (p<0.05). This is because a p-value less than 0.05 signifies that the difference in mean household income in between the two years has not happened due to chance factors of random sampling. Since, out of 100 observations, less than five observations of mean household income being same in both the years could be noted. Therefore, the null...

Name Instructor Course Date Regression Analysis Regression analysis is a statistical measure for determining the relationship between variables. It includes classifying, analyzing, organizing, and recording variables. There are two types of variables involved that is, dependent variable, and independent variable. Dependent variables are measured, predicted and are expected to be affected by the manipulation of the independent variable (Fox and John 107). A researcher manipulates independent variables to determine their effects on other variables. Regression analysis includes the probability of distribution, which is dependent on the variation of the dependent variable. Forecasting...

Over the years, I have believed, that there is a strong correlation between age of an individual and his or her contribution towards household income. I decided to conduct a survey regarding the issue and recorded my findings as stated in this article. The overall aim of the project was to evaluate the correlation of age with household income as from recorded statistics. Methodology Data for the proposed analysis was collected through structured interviews. The participants were randomly selected from the neighborhood to eliminate the chances of bias in the sampling method. This means each and every individual in the neighborhood had an equal probability of being considered for the proposed analysis....

Question 2(13 marks) Lean body mass is the amount of weight carried on the body that is not fat. Metabolic rate is the rate at which the body consumes energy. The following Minitab output was constructed using data recorded in a fitness study which was designed to compare the lean body masses and also the metabolic rates of adolescent males and adolescent females. Use this output to answer the questions which follow. Two-sample T for LeanBodyMass Sex N Mean StDev SE Mean Male 75 52.63 6.66 0.77 Female 75 43.42 6.05 0.70 Difference = μ (Male) - μ (Female) Estimate for difference: 9.21 95% CI for difference: (7.153, 11.266) T-Test of difference = 0 (vs ≠):...

Regression analysis is a powerful statistical approach that helps to predict the magnitude of one variable from the magnitude of other variables. Further, it provides a measure of how one variable is related to different variables. Thus, regression equations are plotted to estimate the value and direction of the dependent variable from the direction and values of the independent variable. The dependent variable is also called the criterion, while the independent variables are referred to as predictor variables. This is because the change in magnitude and direction of the independent variables will affect the dependent variable too. Hence, in brief the value of the dependent variable will be subjected...