STAT 1008 Assignment One Question 1 (a) The main purpose of statistics is that when the size of the population is not manageable, a sample of manageable size should be drawn from the population. While we are ultimately interested in some numerical aspect of the population, we also hope that some numerical aspect of the sample would reflect the numerical aspect of the population that we are interested in. Thus, there is no need to use census. (b) Stratified sampling is recommended. Stratified sampling is commonly used in the scenario described in the assignment spec.
During this period The USA had become the world's largest economic power, making up 27% of the world's economy compared to the 19% in 1913. The First and Second World Wars that occurred during the British Imperial Era may explain the decline of Britain as an economic power by 1950. During these wars, Britain had to invest heavily in munitions and equipment, borrowing heavily from the US to help fund its expenditure. With Britain indebted to America, and struggling to maintain an empire after the economic impact of the Second World War, it is unsurprising to see a decline in Britain's economic strength, with an increase in American economic influence. During the Cold War era, the USA's economic position may have been strengthened due to its increasing political influence as one of the world's leading powers alongside The USSR, which had a GDP that made up 10% of the world's economy in 1950.
One way to do this is by narrowly defining the sampling criteria to make the sample as homogeneous (or similar) as possible to control for extraneous variables. Other methods include randomization or random assignment of subjects to groups; matching subjects on extraneous variables and then assigning them randomly to groups; application of statistical techniques of analysis of covariance; and balancing means and standard deviations of groups (Mcleod, 2008). The amount of control that the researcher has over the variables being studied varies, from very little in exploratory studies to a great deal in experimental design, but the limitations on control must be addressed in any research proposal (Silverstein,
Nominal gross domestic product is the value of goods and services that the nation produces and sells in one year that has not been adjusted for inflation. The unemployment rate is the percentage of unemployed workers in a total population of workers. The unemployment rate is found by dividing the number of unemployed workers by the total labor population and multiplying by 100. In
Just because its possible doesn’t mean we should or are doing it. Isolation has been tried before. Look how that turned out. The World Wars were an example of this. Besides, we need to trade with other nations to get the materials we need, such as gas and oil.
The necessity of public goods is vital for a developing country to survive, maintain, and become what we consider today, a developed country. The government must also provide economic support for their population. Governments in developing countries must strive with enormous amount of force to keep the economy from going down, as well as keeping it the same, meaning, a developing countries government must enable and fulfill a growing and inclining economy. When the government of a developing country fails to provide security, basic human rights, development, and poverty prevention plans, the government can then be considered as unsuccessful and weak. A weak government can be caused by many of reasons.
Success in this context has to be measured on wether both Reagan and Thatcher achieved their objectives which in both cases was to accomplish economic stability and prosperity. To do this I will use GDP, employment and consumption as a calculator. During the Reagan administration the USA experienced an annual average percentage growth of 3.2% and a totally percentage growth 80.9% . Employment went from 19.9 million to 35 million from 1983-1999 and consumption had a total annual percentage growth of 2.7% and a totally percentage growth of 56.0% . Thatcher’s administration saw and annual percentage growth of 2.7% and a total percentage growth of 69% .
Feather states “a multidisciplinary perspective when conducting research on work, employment, and unemployment” should be taken. Briefly state in your own words what Feather means by this and how it can be achieved. Feather recognises the need to conduct theoretical based studies and research that involve a multitude of disciplines (multidisciplinary approach) such as Sociology, Economics, politics and Social Work. Feather understands that collaborative research drawing on varied economic and psychological variables, can be beneficial in answering a diverse range of concerns relating to work and unemployment as no individual discipline encompasses all aspects of unemployment. In order to have a multidisciplinary perspective when conducting research Feather believes that research must be conducted in environments where there is no control over the natural habitat, and that there are no controllable variables.
Qualitative vs. Quantitative Being that I am getting close to retirement from my current career and still young enough to start another one, I am heavily looking at the unemployment rates distributed by the U.S. Bureau of Labor Statistics. This type of data is qualitative in nature as defined by the authors of our text: When the characteristic under study concerns a qualitative trait that is only classified in categories and not numerically measured, the resulting data are called categorical data. Hair color (blond, brown, red, black), employment status (employed, unemployed), and blood type (O, A, B, AB) are but some examples. (Johnson & Bhattacharyya, 2010, p. 23). Being that this data is qualitative in nature because it only measures category, this type of data is normally displayed in a pie chart.
By taking the results of the sample and using those to make a generalization of a larger population from the sample it represent. It is very important that the data be a representative of the population that is being generalized. The test of significance was created to address any issues of generalization. Such test like the T-test or the Chi-square is used to predict the likelihood of the outcome of the study on the sample represent the population for which the sample represents. Through the tests of significance it could us show us what the likelihood that the outcome of the study could have appeared by chance when there is no relationship at all between the variables we studied in the population we