Standard deviation

performance to standard performance from MMJTE1 production results over one year shows the overall production favorable against the standard by 468k. However the locations with deviations between actual performance and standard targets require review to determine the deviation level, cause, and criticality (Process of controlling, n.d.). The first year of data provided for the production of MMTJE1 shows that overall production, cost, and issues were favorable in comparison to the standard targets, where

Running head: Situational Influences on Purchasing Behavior Situational Influences on Purchasing Behavior Abstract There was an investigation in an attempt to understand what situational influences affect purchasing behaviors of consumers. Fifty subjects were asked to complete a survey in determining what attributes affect the decision to purchase a product. The effect of purchase was based on three different times of day: morning, afternoon

the expected returns, standard deviations, and coefficients of variations for the assets. For the expected returns we took the probability and multiplied that by the rate of return for each type of economy, and then added them all up. To get standard deviation you must first calculate the variance. For that we took the rate of return minus expected return, squared that difference, multiplied that by the probability, and then summed them up. The get the standard deviation we

correlation to examine the relationship between ownership structure and the level of voluntary disclosure among publicly-listed banking and financial institutions. The following tables are estimated: Table 1 Respondents Profile Control Variables Mean Standard Deviation Government-linked control (GLC) 1.00 0.0 Outside Director (OUTDIR) 0.74 0.10 Growth (Growth) 0.86 1.06 Debt (DEBT) 0.59 0.32 Stock Return (STOCKRET) 0.03 0.04 Return on Equity (ROE) 0.17 0.20 Return on Assets (ROA) 0.08 0.23 The table 1

sample size was 812 students and there was an average of 10.46 with a standard deviation of 1.12 and standard error of 0.03912. The next variable we measured was the number of years in which each student has been attending the university and it varied from 1 to 5. A large majority of the students were in year 1 or 2, which skewed the data to the left. The average year was 1.58 with a standard deviation of 0.86 and the standard error of 0.03. For our third variable, we constructed a histogram for

anonymous, except for the gender. With the data I collected, I did the standard deviation, scatter plot graphs, and correlation coefficient. Standard deviation is the diffusion of data. I used it because it tells you how widely spread your data is. It’s used when assessing data. To find the standard deviation, it’s necessary to first find the mean. Now we find how far each value is from the mean (the deviation). Then, square the deviations and find the mean of those values. I used a scatter plot graph

the 22 students surveyed on miles with range of 68 the mean is 21.34, Median is 15, Mode is 2 and standard deviation is 3.87. By computing number of minutes’ drive to class, out of 22 student’s travelled with range of 65, mean is 33.86 which suggests most of students are living far from campus, median 32.5 and mode is 20 which suggest majority are living within 20 minutes’ drive. The standard deviation to data is 21.79. By computing number of meals eaten out per week, out of 22 students mean is 4.31

COFFEE USE - HEART RATE RESEARCH PROJECT COFFEE USE - HEART RATE Part 1 The study used for this project is a nursing and health sciences study. One particular healthcare facility is trying to determine if it is a good idea to provide coffee in the waiting room for the patients. There are several other facilities that serve tea, coffee, and water, so this health care facility wants to determine if there is sufficient evidence to show that coffee increases the patient heart rates. The question

the reason for the relationship however that they do have common results. Some of the reasons correlation cannot prove anything is because of the limitations; these would be the lack of information about the correlation, sample size or the standard deviation. In our text it states “If the word correlation is broken down co-relation it is expresses what is meant: The characteristics are related and the evidence for the relationship is that they vary together, or co-vary. As the level of one variable

statistics. You may write out the equations if you like, but you should demonstrate that you understand the statistic’s meaning and how it is used as a tool for research results analysis and/or research design. Mean, Median, Mode, Range, Variance, Standard Deviation, Z-score, Significance Level, Confidence Interval, Between sum of squares, Within sum of squares, Correlation coefficient. Understanding Statistics and Research Design Statistical analysis is a critical element to the research process. Understanding