Stat 371: Exploratory Data Analysis and Probability Rules - Exam Preparation, Exams of Statistics

A review of key concepts for the first exam in stat 371, focusing on exploratory data analysis and probability rules. Topics covered include distinguishing categorical and numerical data, displaying distributions, calculating means and standard deviations, understanding the empirical rule, binomial distribution, normal distribution, and the distribution of sample means. Students are expected to know how to determine if a random variable has a binomial distribution, carry out probability calculations, and approximate binomial distributions with normal distributions.

Typology: Exams

Pre 2010

Uploaded on 09/02/2009

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Review on Chapter 1 - Chapter 5:
What you need to know for the first exam
Cécile Ané
Stat 371
Spring 2006
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Review on Chapter 1 - Chapter 5:

What you need to know for the first exam

Cécile Ané

Stat 371

Spring 2006

Exploratory data analysis

Distinguish categorical/numerical data, Display distributions, describe their shape, Boxplots: determine Q 1 , median, Q 3 , detect outliers, Calculate the mean and standard deviation (don’t forget to

var !) Empirical rule.

Binomial distribution

Given the description of a random variable Y , determine whether it has a binomial distribution or not. If information is available, give n and p. Carry out probability calculations with B Know when to approximate B with a normal distribution, Know how to approximate B with N.

Normal distribution

Carry out probability calculations: IP{ Ya } =?, IP{ Ya } =?, IP{ aYb } =?, and quantile calculations: IP{ Y ≤?} = p , IP{ Y ≥?} = p.

Use the transformation Z =

Y − μ σ Know that IP{− 1 ≤ Z ≤ 1 } ' 68 %, IP{− 2 ≤ Z ≤ 2 } ' 95 % and IP{− 3 ≤ Z ≤ 3 } ' 99. 7 %. Relate to the empirical rule.