Statistics Essay

Below is the description of how I received that average, median and mode. In order to find the average I first found the sum of all the letter frequencies (from column Fx). The sum shows me how many letters all the words in the sample container. Then I divided the sum by the total number of words in the sample, which is 100.

Therefore, every individual forms a part of some health statistics just like everyone has birth statistics. Healthcare statistics are also important in determining the percentage of population suffering from a certain disease hence the diseases prevalence as suggested by Plichta and Garzon (2008). This is important as it helps the government to plan for the healthcare budget which accommodates all individuals.Many healthcare organizations have tried to improve their quality of service and

The graphs represented by the numbers and the progress show an eliminating trend with quite seasonal fluctuations as shown from the fittings in the Box-Jenkins hence residual series (Vandaele, 1983). The figures and graphs from the trees 1-9 are employed in testing for non-seasonality or seasonality in the respective stochastic trends with the appropriate filters being used through the Box-Jenkins model examining the same. Trees 1-9 show us that the Lagrange multiplier (LM) is used to define

This is because research is an ongoing process, which elicits more methodologies and approaches to be used by doctors.Doctors are required to be of high understating power. Within the work of a doctor are measures and approaches, which should be made with little and swift thoughts. For instance, the trading article exemplifies that doctors in India are pressed upon to deliver even at situations with no utmost breakthroughs. Moreover, doctors earn their reputation and credibility through

This variable has been used in this study as an independent variable to find out whether it has any relationship with the rate of inflation in the respective countries.Inflation, which is measured by the consumer price index, shows the extent to which cost changes annually in respect of acquisition of a basket of products by an average consumer. Ordinarily, this indicator is calculated by Laspeyres formula. In this study, this variable is used as a dependent variable. It will be tested whether

In such a way, not having representative statistics that began at the time in which the study was engaged does not provide the user with an accurate description of the way in which civilian deaths have been represented within Afghanistan during the time period in question. Additionally, a further issue that is represented within the statistics and data that are represented has to do with the fact that ground engagements and the overall civilian casualties that these have precipitated were not

A typical flow chart for car sales process is provided below,The agencies are responsible for facilitating initial contact with would be buyers, taking the buyers through the negotiation process and eventually selling and handing over the car to the buyers. More often, contact is initiated by a client, courtesy of adverts and referrals. The agents the takes the clients through a range of options available and where no desirable options are available, suggests alternative ways of acquiring and

The rest of the variables measured MOMs motivators in health orientation, weight concern, goal achievement, competition, recognition, affiliation, psychological coping, life meaning, and self -esteem. Health orientation and weight concern measured physical health motive. Goal achievement and competition measured achievement motive.Sample descriptive statistics were conducted on Gender, Weight (lbs.), BMI, height (inches), Marital status, age, ethnicity, and education. The frequency was to check

The criteria states that, a design is balanced when the largest cell number is not 3 times greater than the smallest cell number.Further exploration of the variables involved checking the effect of gender to Pre self-esteem variable. Table 2 gives the descriptive statistics of Pre self-esteem by gender. This shows that female scored highly on the pre self-esteem test than male.Independent sample t-test was adopted for this study. The test was to check if there was a significant difference in

SRGS had higher scores (M= 120.14) while PCLT had the least scores (M=12.35), see Table 1 below. This sample size meets the minimum sample size n>85 for Pearson correlation at 0.05 level of significance (Andrew, Pedersen, & McEvoy, 2011).Pearson correlation was adopted as the main analysis method in this study. The test was to check if there exists a statistically significant relationship between stress-related growth scale (SRGS) and the Post-traumatic Stress Disorder Checklist – Terror

The scatterplot in Figure 2 shows that the correlation is positive, and not strong. The value of “r” is calculated using CORREL =( nfull Array, sales Array) = 0. The value of t-stat (df=399, r = 0. The value of t-critical (df = 399, p = 0.05) = 1. The value of α (df = 399, r= 0.24, t = 4.88) = 0. For t-stat > t-critical and p < α, we reject null r = 0. Therefore, there is a statistically significant relationship between these variables.The scatterplot in Figure 3 shows weak positive

The coefficient of correlation is given as 0.289; this represents a weak positive relationship however, the p-value is 0.000 (a value less than α=0.05), meaning that the relationship is statistically significant at 5% significance level.The coefficient of correlation is given as 0.531; this represents a moderately strong positive relationship however, the p-value is 0.000 (a value less than α=0.05), meaning that the relationship is statistically significant at 5% significance level.The

For predicting sales per square metre (dependent variable) using the independent variables total number of hours worked and floor space of the store. The results of the regression analysis are presented in table 2. The regression model (estimated equation) is given by:The coefficient of determination, R2 value of 0.3658 indicates that this model explains about 36.6% of the variation in the sales per square metre. The goodness of fit of the model is moderately strong that is the total number of