



Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
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
1 / 6
This page cannot be seen from the preview
Don't miss anything!




Cécile Ané
Stat 371
Spring 2006
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.
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.
Carry out probability calculations: IP{ Y ≤ a } =?, IP{ Y ≥ a } =?, IP{ a ≤ Y ≤ b } =?, 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.