Saturday, March 21, 2020

ENG CON Essay

ENG CON Essay ENG CON Essay Eric Nguyen 11/17/2014 ENG Prof. Reed The unspoken Truth of NWO The idea and words of the New World Order has been used by numerous politicians throughout the past several decades, and is a term used to refer to a worldwide conspiracy being constructed by an extremely powerful and intelligent group of individuals at least at the highest level of power for example like superior Chairman’s of a well known company and to be a superior among people they dominated a certain region of the world which also include many of the world's wealthiest people, political leaders, and corporate elite, as well as members of the so called Black Nobility of Europe dominated by the British Crown whose goal is to create a One World which is like saying a lying Government, stripped of nationalistic and regional boundaries, that is their number one goal for their made up agenda. The person behind the new world wants and expects their plan to succeed by having complete and total control the human being and I mean every single one of us. Even though that may sound hard to believe since there is like more than seven billion people in counting as of today. Their first order on the agenda is to reduce the population by two thirds. That’s about two billion people dying just for the greed of power, these people believe that with a one government ruling the world. Everything will be easier to manage. For example, like the stock market and oil and the basic essentials that we need on a daily basis and will be base and decided upon these so-called rulers. They want this to happen so bad that they even set up FEMA which stands for Federal Emergency Management Agency is being set up all around the world. FEMA camps is a concentration camp for the people and they being held there as prisoner when the new world order takes palace. Perhaps even that’s how they are going to control the riots and the rebellions or even executions may happen there. Furthermore there will be no middle class, only rulers and the servants. All laws will be uniform under a legal system of world courts practicing the same code of laws which are created by the wealthy people who are behind the new world order, and is backed up by a One World Government police force and a One World unified military to enforce laws in all former countries where no national boundaries shall exist and also by doing so. Their will be no war, the only war that there is going to be is the war against the rebellion the people who dares to fight and reclaim the world and the rulers and there massive army. For example, it’s the people who is behind all this is try to take us back to the medieval times where and

Thursday, March 5, 2020

Differences Between Population and Sample Standard Deviations

Differences Between Population and Sample Standard Deviations When considering standard deviations, it may come as a surprise that there are actually two that can be considered. There is a population standard deviation and there is a sample standard deviation. We will distinguish between the two of these and highlight their differences. Qualitative Differences Although both standard deviations measure variability, there are differences between a population and a sample standard deviation. The first has to do with the distinction between statistics and parameters. The population standard deviation is a parameter, which is a fixed value calculated from every individual in the population. A sample standard deviation is a statistic. This means that it is calculated from only some of the individuals in a population. Since the sample standard deviation depends upon the sample, it has greater variability. Thus the standard deviation of the sample is greater than that of the population. Quantitative Difference We will see how these two types of standard deviations are different from one another numerically. To do this we consider the formulas for both the sample standard deviation and the population standard deviation. The formulas to calculate both of these standard deviations are nearly identical: Calculate the mean.Subtract the mean from each value to obtain deviations from the mean.Square each of the deviations.Add together all of these squared deviations. Now the calculation of these standard deviations differs: If we are calculating the population standard deviation, then we divide by n,  the number of data values.If we are calculating the sample standard deviation, then we divide by n -1, one less than the number of data values. The final step, in either of the two cases that we are considering,  is to take the square root of the quotient from the previous step. The larger the value of n is, the closer that the population and sample standard deviations will be. Example Calculation To compare these two calculations, we will start with the same data set: 1, 2, 4, 5, 8 We next carry out all of the steps that are common to both calculations.  Following this out calculations will diverge from one another and we will distinguish between the population and sample standard deviations. The mean is (1 2 4 5 8) / 5 20/5 4. The deviations are found by subtracting the mean from each value: 1 - 4 -32 - 4 -24 - 4   05 - 4 18 - 4 4. The deviations squared are as follows: (-3)2 9(-2)2 402 012 142 16 We now add these squared deviations and see that their sum is 9 4 0 1 16 30. In our first calculation, we will treat our data as if it is the entire population.  We divide by the number of data points, which is five.  This means that the population variance is 30/5 6.  The population standard deviation is the square root of 6. This is approximately 2.4495. In our second calculation, we will treat our data as if it is a sample and not the entire population.  We divide by one less than the number of data points.  So, in this case, we divide by four.  This means that the sample variance is 30/4 7.5.  The sample standard deviation is the square root of 7.5.  This is approximately 2.7386. It is very evident from this example that there is a difference between the population and sample standard deviations.