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The role of statistics in our daily life
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Statistics
We define statistics as a branch of mathematics as a means to analyze, understand what we observe and explain synopses, so as to create sense and meaning of our explanations and observations. Each day in life we come across information that originates in various forms. This is to means in order to put sense in this information; there is the necessity to use statistics. Though, due to its empirical applications and focus, statistics is typically regarded as a distinctive math’s sciences and not only a math’s branch (Chance et al, 2005) Therefore, in certain tasks a statistician use is less mathematical; for example, ensuring that collection of data is carried out in a way that yields effective deductions, reportage of results/coding statistical data in ways logical to the users. Statistics is recognized to advance the quality of data by shaping specific survey experiment designs and samples. It provides tools used to forecast and utilize data as well as the models for statistics. Also, it’s pertinent in many hypothetical fields that comprise
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They are essentially used to describe the important features of a given data. They provide simple summaries concerning the measures and the samples. When utilized together with simple graphics study, they form the heart of practically each quantitative study of data. This means that descriptive statistics both made use of graphical and numerical summaries to explain a given data. Numerical summaries which can either measure the central tendency of a given set of data or which describe the spread of a given data. They use numbers like median, mean and mode to indicate the center or average of the data under observation. Additionally, standard deviation and range are used to specify how the data is spread. In more complex statistics, regression and correlation are used to describe paired data (Laverick et al,
The final chapter of this book encourages people to be critical when taking in statistics. Someone taking a critical approach to statistics tries assessing statistics by asking questions and researching the origins of a statistic when that information is not provided. The book ends by encouraging readers to know the limitations of statistics and understand how statistics are
Renaud, R. (2014a, April 10). Unit 10 - Understanding Statistical Inferences [PowerPoint slides]. Retrieved from the University of Manitoba EDUA-5800-D01 online course materials.
Bennett, J., Briggs, W., & Triola, M. (2014). Statistical reasoning: For everyday life (14th ed.). Boston: Pearson Education, Inc.
After reading this book, I am touched by the underlying philosophy of statistics. Various theories and models are introduced in this book. During the progress of the development, controversies and confits among these theories are largely attributable to diversity of ideology and doctrine from their establishers. In future, the statistics might evolve into a new era and the vogue methods, like p-value or confidence interval, might be discarded. I am looking forward to witness how statistics make our lives
Furthermore, Weber and Durkheim both agree on the use of statistics, however, the interpretation of those statistics is entirely different. Weber argues that, “Statistical uniformities constitute understandable types of action, and thus constitute sociological generalizations, only when they can be regarded as manifestations of the understandable subjective meaning of a course of social action.” (Weber, Basic Sociological Terms, 3). Weber sees statistical data as deriving from individual actions that are grouped together. These groups can form generalizations, which then transform into ideal types that can be compared and used to understand subjective meaningful actions that occurred within those statistics. Durkheim, as seen in ‘Suicide’, uses statistics to analyze social facts (Durkheim, Suicide,
Bennett, J., Briggs, W., & Triola, M. F. (2014). Statistical reasoning for everyday life . (4th ed., pp. 237-273). Boston, Ma: Pearson.
The scientific findings needs to be used are the following, variable which is a logical set of attributes. The attributes is a characteristic or quality of something. For example, the attributes towards my study, would be the ages of both sex genders from college students and parent 's. Due to the fact, if there 's a chance of inheriting alcohol behavior to consume during the adolescence to young adulthood. "The implication of the level of measurement would be analyses require a minimum level of measurements and some variables can be treated as multiple level of
Chapter 12 introduces the reader to the true definition of statistics, without scaring them half to death. The book breaks statistics down in two parts: descriptive and inferential. The type that is dealt with in this chapter is descriptive statistics. The simple definition of descriptive statistics are that they are just numbers in different forms, for example, percentages, numerals, fractions, and decimals. The book gives an example of a grade point average being a descriptive statistic.
Anderson, D. R., Sweeney, D. J., & Williams, T. A. (2011). Essentials of Statistics for Business and Economics (6e ed.). Mason, OH: South-Western Cengage Learning.
This chapter taught me the importance of understanding statistical data and how to evaluate it with common sense. Almost everyday we are subjected to statistical data in newspapers and on TV. My usual reaction was to accept those statistics as being valid. Which I think is a fair assessment for most people. However, reading this chapter opens my eyes to the fact that statistical data can be very misleading. It shows how data can be skewed to support a certain group’s agenda. Although most statistical data presented may not seem to affect us personally in our daily lives, it can however have an impact. For example, statistics can influence the way people vote on certain issues.
The first method to be discussed and analysed are experimental methods. There is a variety of experimental methods including; laboratory, field and natural experiments. These methods are the most scientific method due to them being highly objective and systematic. In addition, this method is regarded as the most powerful research method used in psychology because of the potential to investigate the causes of events and therefore, identifying the cause and effect relationship. When carrying out an experiment the researcher intervenes directly in the situation being investigated. The researcher manipulates an independent variable (IV) in order to investigate whether there is a change in the dependent variable (DV). Any other variables that could have an
4. Determining the Sample Size: Determining the sample size involves several qualitative and quantitative considerations, such as the importance of the decision; the nature of the research; the number of variables in...
Quantitative methods in the social sciences are an effective tool for understanding patterns and variation in social data. They are the systematic, numeric collection and objective analysis of data that can be generalized to a larger population and seek to find cause in variance (Matthews and Ross 2010, p.141; Henn et al. 2009, p.134). These methods are often debated, but quantitative measurement is important to the social sciences because of the numeric evidence that can be used to drive more in depth qualitative research and to focus regional policy, to name a few (Johnston et al. 2014). Basic quantitative methods, such as descriptive and inferential statistics, are used regularly to identify and explain large social trends that can then
Traditional research may use quantitative or qualitative research method. According to Hendricks (2009), quantitative research is a general conclusion based on hard data. Hen-dricks describe quantitativ...
Whether or not people notice the importance of statistics, people is using them in their everyday life. Statistics have been more and more important for different cohorts of people from a farmer to an academician and a politician. For example, Cambodian famers produce an average of three tons or rice per hectare, about eighty per cent of Cambodian population is a farmer, at least two million people support party A, and so on. According to the University of Melbourne, statistics are about to make conclusive estimates about the present or to predict the future (The University of Melbourne, 2009). Because of their significance, statistics are used for different purposes. Statistics are not always trustable, yet they depend on their reliable factors such as sample, data collection methods and sources of data. This essay will discuss how people can use statistics to present facts or to delude others. Then, it will discuss some of the criteria for a reliable statistic interpretation.