occurs in many workplaces. “Negligence is a failure to take reasonable care to avoid causing injury or loss to another person.” (Legal services commission of SA‚ 2013) These laws creating equality for people done wrong off. Samuel Johnson quoted‚ “He who thinks he can afford to be negligent is not far from being poor” This quote points out that you might as well be poor if you think you cannot look after people and get away with it. This is a growing concern among many workplaces. Negligence requires
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WHAT IS SEXISM IN THE WORKPLACE “I learned that courage was not the absence of fear‚ but the triumph over it.” Nelson Mandela. Women make approximately seventy-seven cents for every one dollar that men make. Women are encouraged to embark on certain gender-specific career paths such as Nursing‚ Education‚ and childcare. Women account for about one fourth of are Congressional seats. Women only make up about fifteen percent of our Congress. Sexism begins really young from people telling young girls
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Incorporated in Troy‚ Indiana to be their accountant’s assistant. Through the three months I have been there I have learned a lot about the world of accounting‚ but what I have also learned the traits and qualities that a good employee possesses‚ and also what qualities and traits a bad employee possesses. Not only that‚ but examples of bad employees. As a result of this knowledge of the work place‚ I now know how an employee can get fired from their job. Attendance‚ for any business‚ is a must
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Statistics is the study of the collection‚ organization‚ analysis‚ interpretation and presentation of data. It deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments. Descriptive statistics is the discipline of quantitatively describing the main features of a collection of information‚ or the quantitative description itself. Descriptive statistics are distinguished from inferential statistics (or inductive statistics)‚ in that
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Workplace deviance is a can be a serious issue throughout the workforce. It can come in many forms such as gossip‚ poor management‚ stealing‚ lying‚ and tardiness or absences in the workplace to name a few. Many administrations strive to establish an atmosphere of conformity and teamwork to achieve maximum efficiency while creating a healthy corporate culture. Deviance can occur in any size of the organization‚ which in turn can sabotage any and all efforts. In the medical profession‚ as a future
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Define what Ageism is. What age does it generally begin? Ageism is defined as an issue with people of various ages. It’s a hidden discrimination based on a person’s age. Ageism does not have a general age that it begins. Ageism can be found from young people against older people‚ older people discriminate against younger people. In general‚ Ageism give a younger person to generalized an older person as old as dirt. How ageism in the workplace affects employees? Ageism in the workplace may affect
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Professionalism in the workplace. It is defined as an individual who shows consideration and respect for others demonstrates a commitment. When you think of businessmen and women you don’t think of somebody with a beard‚ or a person covered in tattoos. But why can’t they be professionals? For years beards and tattoos were considered offensive and you were always harshly judged. Throughout recent years though‚ they have grown in popularity and the issue of whether beards and tattoos are acceptable
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Basic Concepts 1. What is Inferential statistics? Inferential statistics uses observations of past occurrences or available data i.e. descriptive statistics to make decisions about future possibilities and/or the nature of the entire body of data. Inferential statistics draws conclusions or makes interpretations‚ predictions and inferences about a population based upon an analysis of a sample. 2. Give 2 different techniques which are used in descriptive statistics to represent the data
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Organization of Terms Experimental Design Descriptive Inferential Population Parameter Sample Random Bias Statistic Types of Variables Graphs Measurement scales Nominal Ordinal Interval Ratio Qualitative Quantitative Independent Dependent Bar Graph Histogram Box plot Scatterplot Measures of Center Spread Shape Mean Median Mode Range Variance Standard deviation Skewness Kurtosis Tests of Association Inference Correlation Regression Slope y-intercept
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vital statistics of populations studied probability through games of chance‚ gambling | 18th Century | Laplace‚ Gauss | normal curve‚ regression through study of astronomy | 19th Century | Quetelet Galton | astronomer who first applied statistical analyses to human biologystudied genetic variation in humans(used regression and correlation) | 20th Century (early) | PearsonGossett (Student) Fisher | studied natural selection using correlation‚ formed first academic department of statistics‚ Biometrika
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