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Question 5. (twenty marks) (a) How does the ‘law of small numbers’ affect the interpretation of data?...

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Psychology

Question 5. (twenty marks)

(a) How does the ‘law of small numbers’ affect theinterpretation of data? (six marks, maximum 100 words)

(b) Two alternatives to buffer against psychological frailtiesin the interpretation of data are • use of a specified p-value forthe Type I error rate (typically 0.05), or • routine use ofconfidence intervals. Which of these two alternatives is better inyour opinion? Why? (twelve marks, maximum 250 words)

(c) A p-value is the probability of observing a particular dataset given a hypothesis, Pr (data | hypothesis). Bayesianstatisticians use Bayes’ theorem and prior information to calculatea different quantity. Describe the quantity Bayesian statisticiansuse, in one sentence. (two marks)

Answer & Explanation Solved by verified expert
4.1 Ratings (832 Votes)
A the law of small numbers refers to a cognitive bias of generalising a set of findings based on a small sample as true for a large set of scores or population It is also called hasty generalisation in statistics as one may derive a broad and rushed conclusion from insufficient    See Answer
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