Statistics In Business Quantitative Analysis for Business September 22‚ 2013 Dr. John Kwagyan Introduction Statistics is a tool used in businesses for planning and measuring the various activities a business is engaged in. Descriptive and inferential statistics are two different types of statistics used in a business. Statistics is the most widely used quantitative method in business. Statistics describes a set of data and then it draws a conclusion from the data
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BICOL STATE COLLEGE OF APPLIED SCIENCE AND TECHNOLOGY NAGA CITY HISTORY OF STATISTICS Group 3 Members: Tricia Mae Berja Michelle Lee Desiree Basmayor Mica Rubio Gian Perucho Ivan Ricafort Ms. Donnalyn Matamorosa Dominic Bobis Teacher Alex Obligado Ancient Times (3000 BC – 27 BC) * Pictorial representation and other symbols were used for Statistics back in the days. (To record numbers of people‚ animals‚ etc.) * In Babylonia and China‚ population is
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Skewness‚ Kurtosis‚ and the Normal Curve Skewness In everyday language‚ the terms “skewed” and “askew” are used to refer to something that is out of line or distorted on one side. When referring to the shape of frequency or probability distributions‚ “skewness” refers to asymmetry of the distribution. A distribution with an asymmetric tail extending out to the right is referred to as “positively skewed” or “skewed to the right‚” while a distribution with an asymmetric tail extending out to
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What kinds of changes in underlying conditions can cause the supply and demand curves to shift? Give examples and explain the direction in which the curves shift. There are some detailed determinants that are actually associated with the supply or “shifts in supply” can be recognized to the following alterations as well as modifications: 1. Resource prices. If the cost prices of the reserve of iron ore and coke are higher than it enhance the rate of producing steel‚ grasp earnings as well as
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Chapter Two reflections Every economy encounters economizing problem like how to determine what goods to produced‚ how the goods are produced‚ who consume them‚ how supply and demand of goods are managed‚ and how technology is used to promote the progress of economy resources. Fundamentally‚ two types of economic system are used to combat the economizing problem. An economic system where government owns most resources‚ controls and coordinates most economic activity is the command or communism economy
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Lysias was able to present a persuasive but well concealed argument drawn from probability to influence the minds of a jury. This utilization of an argument from probability
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are two main branches of statistics that include descriptive statistics and inferential statistics.Descriptive statistics gives numerical measures that describes the features of a given set of data. Inferential statistics on the other hand takes a sample of a given population‚ analyses the sample‚ and from it draw conclusions about the population .Malcolm.O.Asadoorian and Demetrius Kantarelis in their book: Essentials of inferential statistics argue that descriptive statistics organize ‚ summarize and
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Statistics is the study of the collection‚ organization‚ analysis‚ interpretation‚ and presentation of data. It deals with all aspects of this‚ including the planning of data collection in terms of the design of surveys and experiments. The word statistics‚ when referring to the scientific discipline‚ is singular‚ as in "Statistics is an art. "This should not be confused with the word statistic‚ referring to a quantity (such as mean or median) calculated from a set of data‚ whose plural is statistics ("this
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Business Statistics Chapter 5 Some Important Discrete Probability Distributions 5-1 Chapter Goals After completing this chapter‚ you should be able to: Interpret the mean and standard deviation for a discrete probability distribution Explain covariance and its application in finance Use the binomial probability distribution to find probabilities Describe when to apply the binomial distribution Use Poisson discrete probability distributions to find probabilities 5-2 Definitions Random
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observations using behavioural categories. Content analyses can also collect quantitative data. These data can be interpreted fairly easily with averages‚ measures of dispersion and graphs (pages 52–53) and are typically objective. Qualitative data are descriptive‚ e.g. answers to open questions from self-reports (page 41) and detailed findings from observations and content analyses. They are harder to analyse as you need to look for
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