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Statistics Book Report/Review

How to lie with statistics by Darrell Huff
Customers uses its lubricant, they can simply ask a respondent in a questionnaire or interview; “Have you ever used shell BP lubricant?” This question is open and will give misleading results, since it doesn’t ask how often the customer uses the lubricant and during which period they used it, as well as under what circumstances they used the lubricant.Sometimes, despite using the right wording during an interview or in a questionnaire, respondents might give inadequate information or
Pages: 5 (1250 words), Book Report/Review
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Avoiding Statistical Pitfalls
Focus on formulating a clear research question, avoiding or eliminating confounding variables at every stage of the experiment, and choosing appropriate statistics. However, there are other aspects in which Chatfield seems to go deeper into the issue of potential problems than one may experience in most research design or methods classes.Chatfield almost comes off as paranoid due to his strict attention to detail in the quest to rid experiments of flaws. He poses that certain types of error are
Pages: 4 (1000 words), Book Report/Review
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Calculated Risk by Gred Gigerenzer
However, the psychiatrist wanted to say that 30 to 50 patients out of 100 might have sexual side effects, after consuming this drug.The interpretation of this rule has caused the confusion, while trying to find the accuracy of screening tests like mammography and HIV. The author has given an example regarding this, in the book, while discussing the accuracy of a test meant for detection of breast cancer. According to the book, if women above the age of 40 are put on a mammography test, the
Pages: 3 (750 words), Book Report/Review
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Statistical Analysis of the T-test
Statistical analysis of the T-test outlines a critical step in testing hypothesis as described above. T-test involves calculation of the exact differences in population mean (µ) and sample mean (M) and whether it is reasonably expected. However, since the standard deviation of the population is unknown it becomes impossible to calculate the standard error of sample M. As stated by Rasch et al (2011), the T-statistical test will therefore require one to have sample data in order to get the
Pages: 4 (1000 words), Book Report/Review
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Analysis of Variance by Frankfort-Nachmias and Nachmias
For instance, a researcher may be interested in testing the effect of a certain drug in alleviating seizures on different categories of individuals. He divides his sample into different groups- children, women, and men. Data is then recorded regarding the number of seizures experienced by the participants after using the drugs. The researcher then uses ANOVA to test whether the mean seizures experienced between the different groups differ.The two-way ANOVA is an extension of the above-discussed
Pages: 3 (750 words), Book Report/Review
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Finance Portfolio Theory
On top of that the book further explains how portfolios managers are able to allocate assets that are connected to the portfolios. It is also amazing that the book opens up the information on how the web was introduced and by whom. The capital market in the investment industry is well analyzed by showing how it had impact on the quantitative finance. It also explains how assets have been identified in the modern market. The book further analyses the various assets in the market like stocks,
Pages: 3 (750 words), Book Report/Review
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