Research and statistics for managerial decision making Assignment 1 Mohammed Ahmed Ali 0170026 1.1 Four different beverages are sold at a fast food restaurant: soft drinks‚ tea‚ coffee‚ and bottled water. Explain why
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but to research the context in which it was being used and to whom was saying it. Break down the words in the languages that were spoken in the time frame in which it was being expressed. Then after we do those things we can apply it our lives. Psalms 23 is a perfect example of how we need to break down our passages and find out who’s the writer‚ what it means‚ and how we today can apply it.
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TASK SHC 23 1.1 Explain what is meant by Diversity-Everyone is individual and different‚ valuing differences. Equality- Opportunities to develop and learn while their physical and emotional safety and well being are being protected. Children are given access to same opportunities Inclusion- is a process of identifying and breaking down barriers to participation and belonging. Discrimination- when people are judged about their culture‚ gender‚race‚lifestyle‚age.
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confidence interval is 1.645. The SD standard deviation is 2500-600=1900 1900/4 N=[1.645*(1900/4)/100]^2=62 A sample of 62 is needed. Your sample data has mean 3.1948 and standard deviation 0.0889‚ with a sample size of 25. X (bar) = 3.948‚ s =0.0889‚ n = 25 Use a one-sample t-test Conditions/assumptions for a t-test •Random sample- our survey was a random sample of 25 stations •Normal distribution –we are assuming gasoline prices are normally distributed Null hypothesis: The
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statistics Berlin Brandenburg Die kleine Berlin–Statistik 2011 Editor: Amt für Statistik Berlin-Brandenburg English edition Information management Photograph credits Amt für Statistik Berlin-Brandenburg Behlertstraße 3a 14467 Potsdam Telephone: +49 331 8173-1777 Telefax: + 49 30 9028-4091 E-Mail: info@statistik-bbb.de www.statistik-berlin-brandenburg.de »The Berlin Bear« (heraldic beast). The photo was created with the kind support of Mrs. Kutzner (District Office Berlin-Mitte)
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Statistics Real Life Example #2Article: http://america.aljazeera.com/articles/2014/10/21/us-ebola-airports.htmlMy article is covering the recent “Ebola Outbreak”. In this‚ people are direly afraid of catching the Ebola virus. They are even going as far as screening people in airports who come from‚ and travel to‚ places where Ebola is much more spread amongst the population (mostly in Africa‚ for now). The article quotes: “Some members of Congress have urged President Barack Obama to ban all travel
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Statistics in Business Katherine Wolf QNT/275 April 3‚ 2015 Barry Adkins Statistics in Business Statistics is all about collecting numerical data‚ organizing it‚ and interpreting the data to form hypothesis. While interpreting the data we are able to draw all kinds of conclusions from weather forecasts to how much money a company is projected to make over the next year. There are different types of statistics that can be used for different outcomes. You have to first identify the
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Statistics in Business Statistics is a mathematical science pertaining to the collection‚ analysis‚ interpretation or explanation‚ and presentation of data. It also provides tools for prediction and forecasting based on data. It is applicable to a wide variety of academic disciplines‚ from the natural and social sciences to the humanities‚ government and business ("Statanalysis Consulting"‚ 2013). Statistics is used in decision making that affects our everyday lives. The study of statistics
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Case Problem 1: National Health Care Association(Descriptive Statistics) The National Health Care Association is concerned about the shortage of nurses the health care profession is projecting for the future. To learn the current degree of job satisfaction among nurses‚ the association has sponsored a study of hospital nurses throughout the country. As part of this study‚ a sample of 50 nurses was asked to indicate their degree of satisfaction in their work‚ their pay and their opportunities for
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Data Analysis: Analyzing Data - Inferential Statistics Inferential statistics deal with drawing conclusions and‚ in some cases‚ making predictions about the properties of a population based on information obtained from a sample. While descriptive statistics provide information about the central tendency‚ dispersion‚ skew‚ and kurtosis of data‚ inferential statistics allow making broader statements about the relationships between data. Inferential statistics are frequently used to answer cause-and-effect
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