lect1_Review-2012

# lect1_Review-2012 - Statistics 102, Spring 2012 Larry Brown...

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1 Statistics 102, Spring 2012 Larry Brown (Section 1) , Nancy Zhang (Sections 2 and 3) Administrative Issues Canvas : This can be accessed via http://webcafe.wharton.upenn.edu or via http://spike.wharton.upenn.edu TEXT: Dielman, T. Applied Regression Analysis Fourth Edition, Duxbury Optional additional reading: Statistics for Business , Stine and Foster Full Syllabus is posted on Canvas. Lecture notes will be posted to Canvas – usually a day or two before the lecture. You are responsible for printing them out. (These may contain some material not covered in class, and are the best guide to what you should know.) Data, homework assignments and solutions, sample exams, etc, will also be posted on Canvas. Office hours L. Brown: 445 Huntsman; Tues 9 – 10 (or by appointment) N. Zhang: 467 Huntsman; Thurs 1:45 – 2:45 (or by appointment) Computer package: JMP (any version #7.0 or higher will suffice) Homework and Projects (See Canvas for details)

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2 Exams : Midterm : 6:00 pm - 7:30 pm, Wednesday, Feb 29 th Final exam: 6:00 pm - 8:00 pm, Wednesday, May. 2 nd . (Comprehensive) Quizzes: In-class Quizzes. These will be announced in advance. Grading: Homework and Projects: 20% Quizzes: 10% Midterm: 25% Final: 45% The lowest HW score and the lowest quiz score will be dropped in computing the final grade TAs: (Offices in Huntsman Hall) Sathyanarayan Anand, Oliver Entine, Yun Zhang, Tung Phan See Canvas for Office Hours and email addresses. First HW Assignment is due by 5:00 pm on Fri., Jan 27 th See Canvas for details.
3 What You Should Already Know (Stat 101) Graphical tools Histogram, quantile plot, boxplot, comparison boxplots, and scatterplot. Expected value, variance and covariance Expected value is an average, weighted by probabilities. Variance is the expected squared deviation from mean. Covariance measures the strength of linear association. Normal distribution 95% of the distribution lies in the range ± 2 Normal quantile plot as a diagnostic Standard error

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4 Sample-to-sample variability of a statistic SE( x ) = s n Confidence interval (for a normal mean) Estimate 2 SE(Estimate) [ 2 is a good approximation to exact value] Contains “truth” for 95% of samples Hypothesis test (about a normal mean) The null hypothesis, H 0 is the opposite of what is hoped to be validated. Standardized z-statistic, or t-statistic/t-ratio, counts the SE’s from conjectured value. P-value measures probability-size of t or |t| (for one or two-sided test). The smaller the p-value, the greater the evidence against H 0 . P-value < 0.05 <=> reject H 0 at the .05 level of significance. Software JMP – to the extent it was used in Stat 101
5 A Quick Review PS: Typical sample sizes for such a preliminary market study would be much larger than our sample of n = 85. ▪ Companies that sell groceries over the Internet are called e-grocers. Customers enter their orders, pay by credit card and receive delivery by truck.

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## This note was uploaded on 04/04/2012 for the course STAT 102 taught by Professor Shaman during the Spring '08 term at UPenn.

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lect1_Review-2012 - Statistics 102, Spring 2012 Larry Brown...

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