Being a naturally analytical person I find statistical analysis to be captivating. Looking back through my career and educational experiences, the one constant has been data. I have utilized statistical analysis working in a behavioral research lab, coordinating a community-based family support program and developing programs to diversify the scientific workforce. The synthesis of data can be very powerful, and is essential for the progression of research, health programming, strategic plans and
What is ANOVA? Analysis of variance (ANOVA) tests the hypothesis that the means of two or more populations are equal. ANOVAs assess the importance of one or more factors by comparing the response variable means at the different factor levels. The null hypothesis states that all population means (factor level means) are equal while the alternative hypothesis states that at least one is different. To perform an ANOVA, you must have a continuous response variable and at least one categorical factor
DISCUSSION ABOUT STATISTICAL ANALYSIS AND RESULTS; Statistical analysis two independent sample tests compare the mean of the randomised case-control group. To find the significant difference between the two groups, data collections are mean value, so t test is the suitable test to compare the mean value of the two groups in normal distributed data (Menz, 2004). Result of the t test shows body mass index significant p value .005 less than .05 and the mean value of the BMI in case group greater than
4.8. Statistical analysis The collected data groundwork and data analysis are the two segments in the statistical analysis. These two parts are presented in the following sub sections. 4.8.1. Data groundwork The responses gathered through the research instrument were entered numerically into SPSS 16 software. All the key variables were identified as scale measures in SPSS as the five point Likert scale used in the research instrument. All the cases were screened for missing values and ensure the
3.9 DATA ANALYSIS METHODS 3.9.1 NORMALITY TEST Saunders, Lewis and Thornhill (2007) explains Kolmogorov-Smirnov test as a statistical test used to find out the probability that an observed set of values for each category of a variable differs from a specified distribution. In this study, one-sample Kolmogorov-Smirnov test was used to check whether the collected are distributed normally or not. Table 3.6 One Sample Kolmogorov-Smirnov Test Variables Kolmogorov-Smirnov Z P-value Behavioural Intention
measurements that was recorded, human error and past injuries would influence the data. This is why .002 (alpha number) is going to be calculated in with the data. Dependent t-test, independent t-test, mean and standard deviation are the following statistical analysis that is used in the following
based on estimates and opinions. The Delphi technique, a common form of qualitative forecasting, allows experts to create an effective forecast under conditions of extreme uncertainty. Time?s series forecasting, a quantitative technique, uses a statistical analysis of past sales in order to effectively predict future outcomes, but can be limited under conditions of uncertainty (Chase, 2003, p.364). Business forecasting can be used in a wide variety of contexts, and by a wide variety of businesses.
ARCHITECTURE AND ASP DBM405 OLAP, Data Marts and Warehouses, Three-Tier Architecture and ASP OLAP The term OLAP stands for ‘On-Line Analytical Processing’. OLAP is a technology used to process data a high performance level for analysis and shared in a multidimensional cube of information. The key thing that all OLAP products have in common is multidimensionality, but that is not the only requirement for an OLAP product. An OLAP application is targeted to deliver most responses
could be carried out in a classroom. The results, taken from the Raw Score Data table and scatter graph showed evidence of a positive correlation. However, to accept that this result was significant, we subjected the data to further statistical analysis. A Spearman Rho Correlation Coefficient test (Rs) was chosen because the data was Ordinal and parametric assumptions were not met. The outcome stated that with number of people equalling 18 and significance set at p=0.05 for a one tailed
involves carnivores preying on herbivores. Predation can have many possible effects on the interrelations of populations. To draw any correlations between the effects of these predator-prey interactions requires studies of a long duration, and statistical analysis of large data sets representative of the populations as a whole. Predation could limit the prey distribution and decrease abundance. Such limitation may be desirable in the case of pest species, or undesirable to some individuals as with
normal people have three-digit IQs, on the average. This applies to Nazi skinheads, American Nazis, the oxymoronic Aryan supremacists, Christian Identity fanatics, anti-semites, non-denominational bigots, and other such social rejects. The statistical analysis is based on a standard deviation of 10, and is normalized for matching populations. Many studies have explored the psychology of racism and the familial and social backgrounds of racists. Some interesting generalities can be extracted
Japan's Purple Machine Codes and ciphers have played many crucial roles in the past 3000 years, protecting the secrets of caesars and laymen. In World War II numerous nations used cryptographic systems to conceal their secret intentions and plans from the spying eyes of enemies everywhere. Cryptanalysts, however, undeterred by the complexity of the crypto-systems, worked diligently, trying to find any sort of weakness that would allow a break into the cipher and expose the secrets contained within
Introduction American Statistical Association published Leveraging Statistics with Computer Science to Transform Science and Society in 2014. The primary author, Cynthia Rudin, explains how statistical analysis benefits different scientific fields using computers to collect Big Data, gathering large amounts of data pertaining to the specific topic, and do computations on the gathered data. This analysis helps the research of all disciplines such as biological sciences, healthcare, and civic infrastructure
of three question. i pick first and third question because i understand the question and completed them. The first question is about matching what statistic method on the three question implying the answer and what is the pros and cons of those statistical methods. The third question is proportional and finding the probability on it three question. The first part of this assignment is by do the conventional methods to find the question and knowing assign a label or attribute. This first question is
that I had a genuine interest to applying mathematical and statistical theories to real-world concerns. Hey, even Twain the skeptic realized the importance of balancing the cargo on shallow, difficult-to-navigate riverboats so that the port and starboardsides were equally laden-he even advised the captains to part their hair down the middle so that the weight was perfectly distributed!
Statistical Investigation For my Maths GCSE's I am required to do two pieces of coursework one of which is a piece on statistics. The purpose of this project is to help me investigate a real life situation using statistics. In this case I have been given some quantitative data on the end of year maths test scores of children in year 8. What I am supposed to do is compare the data by making hypotheses to indicate if there is something comparable between the results. First I have decided
Statistical Investigation Into Height and Weight of Students My hypotheses are as follows: ~ 1. Year 11 students are, on average, taller than year 9 students. 2. There is better correlation between height and weight in year 7 than there is in year 11. 3. The taller someone is the heavier they are. Below are the sampling methods that I have used in my coursework: Stratified Simple Random Stratified sampling can be defined as the process where the population is divided into
Support communications? Why or why not? Advantages and disadvantages are an equal part of Expert Systems and ROI analyses; however, each is based on circumstances based on each unique case. One main shortcoming of the ROI analysis is the strong base on statistical analysis which may fail to recognize certain areas of opportunity not explored. Previously stated, the Expert System was used to interact directly with a broad range of students and exceeded its original purpose by providing more marketing
collection of quantitative data and various sampling methods as a way to help find intuitive ways to solve the problems they have, or to make what they better. There are several ways to collect meaningful data, using both descriptive and inferential statistical methods. For example, in a business setting descriptive statistics can show an increasing trend in profits, however if you look at the inferential statistics of customer satisfaction surveys we may see a decline. This would lead you to say, profits
Statistical Investigation Introduction I have chosen to do this statistical coursework that uses data from 'Mayfield High School.' Although this is a fictitious school, the data is based on a real school. As the data has been collected for me, it is called secondary data. I believe that this coursework will allow me to illustrate my ability to handle data, use specific techniques and apply higher level statistical maths by being able to use a variety of methods in order to analyse