Lies, Damned Lies, and Statistics? Examples from Finance and EconomicsReliable data analysis is one of the hardest tasks in sciences and social sciences. Often misleading and sometimes puzzling results arise when the analysis is done without regard for the special features of the data. In this ...
Lies, damned lies, and statistics? Examples from finance and economics. 来自 EconPapers 喜欢 0 阅读量: 26 作者: K Abadir 摘要: Reliable data analysis is one of the hardest tasks in sciences and social sciences. Often misleading and sometimes puzzling results arise when the analysis is done ...
Learn about the definition of bias in statistics. Understand how to determine bias in statistics. Discover various types of bias, such as response...
Often misleading and sometimes puzzling results arise when the analysis is done without regard for the special features of the data. In this exposition, I will focus on designing new statistical tools to deal with some prominent questions in Finance and Economics. In particular, I will talk ...
Instatistics, hasty generalization fallacy is often the outcome ofsampling bias(i.e., when one uses a sample that does not represent the entirepopulation). This can be accidental or intentional, like in the case of misleading statistics. ...
Tom ClaytonMarch 12, 2024 The charm of open water is irresistible, but not everyone can afford a brand-new boat – the price tag can make your pocket feel seasick. But that doesn’t mean you can’t go on a sailing trip. Disclosure ...
Misleading Graphs | Overview & Examples Lesson Transcript Author Travis Hartin View bio Instructor Karin Gonzalez View bio Explore misleading graphs. Understand how graphs can be misleading and find why they are created. See examples of misleading, deceptive, and bad statistics graphs. ...
In contrast, askewed distributionis asymmetric and has more values on one end than the other. The shape of the distribution is important to keep in mind because only some descriptive statistics should be used with skewed distributions. Extreme outliers can also produce misleading statistics, so you...
The median is another way of determining the "average" variate in the population. It is especially useful when the population has a particularly skewed frequency distribution; in these cases the arithmetic mean can be misleading. To compute the median for a population of variates, the variates ...
measures of central tendency, such as the mean, pulling it towards their extreme values. For example, the dataset of (1, 1, 1, 997) is 250, even though that is hardly representative of the dataset. This distortion can lead to misleading conclusions about the typical behavior of the ...