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CHI_SQUARE

Course: MKT 202, Spring 2010
School: DePaul
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SQUARE Myril CHI Hillman, Ph.D. 04/26/11 1 Chi Square: Test of Independence: Is there a significant difference between expected and observed frequencies? 04/26/11 2 Assumptions Random samples (big R) Not normal curve distribution Variables are qualitative Nominal/ordinal data: counts Frequencies (counts) in cells greater than 5 04/26/11 3 How to do it: formula Chi square: (observed expected)...

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SQUARE Myril CHI Hillman, Ph.D. 04/26/11 1 Chi Square: Test of Independence: Is there a significant difference between expected and observed frequencies? 04/26/11 2 Assumptions Random samples (big R) Not normal curve distribution Variables are qualitative Nominal/ordinal data: counts Frequencies (counts) in cells greater than 5 04/26/11 3 How to do it: formula Chi square: (observed expected) divided squared by expected X2 = (O E)2 E 04/26/11 4 O = observed frequency E = expected frequency 04/26/11 5 Example Time urgency completing task for men vs. women 04/26/11 6 Degrees of Freedom (#Rows 1)(#Columns 1) 04/26/11 7 Choose alpha level 04/26/11 8 Look up What critical value of chi square did you need. Is your chi square as big or bigger? If so, it is significant 04/26/11 9
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DePaul - MKT - 202
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DePaul - MKT - 202
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DePaul - MKT - 202
DepartmentofMarketing DePaulUniversity Winter2010 CollegeofCommerce MARKETING202 QuantitativeMethods Professor: OfficeLocation: OfficeHours: Telephone: Email: Dr.MyrilHillman DPC7524 Byappointment Office(312)3626210Fax:(312)3625647 mhillman@depaul.edu Cou
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TWOCATEGORIES TWOCATEGORIES OFSTATISTICS1.DESCRIPTIVESTATISTICS 2.INFERENTIALSTATISTICSDESCRIPTIVESTATISTICS DESCRIPTIVESTATISTICSREPORTSOBSERVATIONS DESCRIBESBEHAVIOR/ATTRIBUTES/ ATTITUDESINFERENTIALSTATISTICS INFERENTIALSTATISTICSPREDICTIONSABOUTPO
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Sophomore Seminar in Multiculturalism in America Religious Worlds and Worldviews LSP 200, Fall 2009 Quarter; T/Th 10:10-11:40 in Loop Room Prof. Yarina Liston, yliston@depaul.edu; Meetings scheduled by request. Course Description: The focus of this course
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Chapter 13 The Corporate Income Statement and the Statement of Stockholders Equity Performance Measurement: Quality of Earnings Issues Objective 1: Define quality of earnings, and identify the components of a corporate income statement. Quality of earning
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PRACTICE QUIZ 1 C19 True-False 1. Managers use their knowledge of cost behavior to estimate the impact of changes in operations (such as changing output volume) on future profitability. 2 The traditional definition of variable cost assumes a linear relati
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The Exponential Series1Section 1X = AX X (0) = [1, 1]t 2 1 4 2 (1)We consider the initial value problemwhere A=Then (as you can check) det(A I ) = 2 so the only eigenvalue is = 0. The equation AXo = 0Xo is equivalent with the system xo + 2yo = 0 4xo
Purdue - MA - 366
MA366 Make-up FinalLast Name:First Name:Show all work. A correct answer without supporting work is worth NO credit! (Some calculators can solve dierential equations.) There should be no hard integrals, unless you mess up somewhere. If this happens, jus
Purdue - MA - 366
MA366 FinalLast Name:First Name:Show all work. A correct answer without supporting work is worth NO credit! (Some calculators can solve dierential equations.) There should be no hard integrals, unless you mess up somewhere. If this happens, just leave
Purdue - MA - 366
Purdue - MA - 366
Purdue - MA - 366
Purdue - MA - 366
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%!PS (but not EPSF; comments have been disabled) /TeXDict 200 dict def TeXDict begin /N /def load def /Bcfw_bind defN /S /exch load def /Xcfw_S NB /TR /translate load N /isls false N /vsize 10 N /@rigincfw_ islscfw_[0 1 -1 0 0 0]concatif 72 Resolution div
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Purdue - IE230 - 230
IE 230Seat # _Name _ Closed book and notes. 60 minutes. Cover page and four pages of exam. No calculator.This exam covers event probabilities and the denition of random variables. Chapter 2 of Montgomery and Runger, fourth edition. A true/false questio
Purdue - IE230 - 230
IE 230Seat # _ Closed book and notes. 60 minutes. Cover page and four pages of exam. No calculator.Name _ < KEY > _This exam covers event probabilities and the denition of random variables. Chapter 2 of Montgomery and Runger, fourth edition. A true/fal
Purdue - IE230 - 230
IE 230Seat # _ Please read these directions.Name _Closed book and notes. 60 minutes. Covers through the normal distribution, Section 4.7 of Montgomery and Runger, fourth edition. Cover page and four pages of exam. Page 8 of the Concise Notes. No calcul
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IE 230Seat # _ Please read these directions. Closed book and notes. 60 minutes.Name _ < KEY > _Covers through the normal distribution, Section 4.7 of Montgomery and Runger, fourth edition. Cover page and four pages of exam. Page 8 of the Concise Notes.
Purdue - IE230 - 230
IE 230Seat # _Name _Closed book and notes. 60 minutes. Cover page and four pages of exam. Pages 8 and 12 of the Concise Notes. No calculator. No need to simplify answers. This test is cumulative, with emphasis on Section 4.8 through Section 5.5 of Mont
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Quiz 10. April 20, 2011Seat # _Name: _ < KEY > _Closed book and notes. No calculator. Recall: X = in=1 Xi / n Recall: S 2 = [in=1 Xi 2 nX ] / (n 1) Consider a sample containing the data 14.2, 30.4, 8.1, 34.5, 8.7, 5.5. 1. (2 points) Determine the sampl
Purdue - IE - 230
Quiz 1. January 19, 2011Seat # _Name: _Closed book and notes. No calculators. Set theory. For all questions below, consider the universe U = cfw_1, 2, 3, 4, 5, 6. Let E = cfw_2, 4, 6, the set of even integers. Let L = cfw_4, 5, 6, the set of large inte
Purdue - IE - 230
Quiz 1. January 19, 2011Seat # _Name: _ < KEY > _Closed book and notes. No calculators. Set theory. For all questions below, consider the universe U = cfw_1, 2, 3, 4, 5, 6. Let E = cfw_2, 4, 6, the set of even integers. Let L = cfw_4, 5, 6, the set of
Purdue - IE - 230
Quiz 2. January 26, 2011Seat # _Name: _Closed book and notes. No calculators. In probability, we always have an experiment. 1. (1 pt) The set of all _ is called the sample space. 2. (1 pt) Each _ of the experiment results in exactly one outcome. 3. (1
Purdue - IE - 230
Quiz 2. January 26, 2011Seat # _Name: _ < KEY > _Closed book and notes. No calculators. In probability, we always have an experiment. 1. (1 pt) The set of all _ < outcomes> _ is called the sample space. 2. (1 pt) Each _ < replication > _ of the experim
Purdue - IE - 230
Quiz 3. February 4, 2011Seat # _Name: _Closed book and notes. No calculators. Recall: (Total Probability) If B 1, B 2, . . . , Bn partition the sample space S , then P(A ) = P(A | B 1) P(B 1) + P(A | B 2) P(B 2) + . . . + P(A | Bn ) P(Bn ). Questions 1
Purdue - IE - 230
Quiz 3. February 4, 2011Seat # _Name: _ < KEY > _Closed book and notes. No calculators. Recall: (Total Probability) If B 1, B 2, . . . , Bn partition the sample space S , then P(A ) = P(A | B 1) P(B 1) + P(A | B 2) P(B 2) + . . . + P(A | Bn ) P(Bn ). Q
Purdue - IE - 230
Quiz 4. February 16, 2011Seat # _Name: _Closed book and notes. No calculator. Circle all correct answers. 1. (2 pts) For a discrete random variable X , the probability mass function is f X (6) = P(X = 6) P(X < 6) P(X 6) P(X > 6) P(X 6)2. (2 pts) For a
Purdue - IE - 230
Quiz 4. February 16, 2011Seat # _Name: _ < KEY > _Closed book and notes. No calculator. Circle all correct answers. 1. (2 pts) For a discrete random variable X , the probability mass function is f X (6) = P(X = 6) P(X < 6) P(X 6) P(X > 6) P(X 6)2. (2
Purdue - IE - 230
Quiz 5. February 23, 2011Seat # _Name: _Closed book and notes. No calculator. For Questions 15, consider a sequence of units coming off an assembly line. Each is defective with probability 0.01 (and otherwise not defective). Assume that different units
Purdue - IE - 230
Quiz 5. February 23, 2011Seat # _Name: _ < KEY > _Closed book and notes. No calculator. For Questions 15, consider a sequence of units coming off an assembly line. Each is defective with probability 0.01 (and otherwise not defective). Assume that diffe
Purdue - IE - 230
Quiz 6. March 2, 2011Seat # _Name: _Closed book and notes. No calculator. Consider the experiment of choosing a random IE230 class day (that you attend). Let X denote the time (in minutes) that you spend walking to class. (a) (2 points) Sketch the dens
Purdue - IE - 230
Quiz 7. March 23, 2011Seat # _Name: _Closed book and notes. No calculator. From Problem 4-88, Montgomery and Runger, fourth edition. Assume that the distance between major cracks in a highway follows an exponential distribution with a mean of ve miles.
Purdue - IE - 230
Quiz 7. March 23, 2011Seat # _Name: _ < KEY > _Closed book and notes. No calculator. From Problem 4-88, Montgomery and Runger, fourth edition. Assume that the distance between major cracks in a highway follows an exponential distribution with a mean of
Purdue - IE - 230
Quiz 8. March 30, 2011Seat # _Name: _Closed book and notes. No calculator. From Problem 5-1, Montgomery and Runger, fourth edition. probability mass function in the following table. x y f X ,Y (x ,y ) 1 1 0.1 1.5 2 0.3 1.5 3 0.2 2.5 4 0.15 3 5 0.25Con
Purdue - IE - 230
Quiz 8. March 30, 2011Seat # _Name: _ < KEY > _Closed book and notes. No calculator. From Problem 5-1, Montgomery and Runger, fourth edition. probability mass function in the following table. x y f X ,Y (x ,y ) 1 1 0.1 1.5 2 0.3 1.5 3 0.2 2.5 4 0.15 3
Purdue - IE - 230
Quiz 9. April 6, 2011Seat # _Name: _Closed book and notes. No calculator. From Problem 5-17, Montgomery and Runger, fourth edition. Consider the probability density function (pdf) f X ,Y (x , y ) = c x y for 0 x 3, 0 y 3 and zero elsewhere. 1. (2 point
Purdue - IE - 230
Quiz 9. April 6, 2011Seat # _Name: _ < KEY > _Closed book and notes. No calculator. From Problem 5-17, Montgomery and Runger, fourth edition. Consider the probability density function (pdf) f X ,Y (x , y ) = c x y for 0 x 3, 0 y 3 and zero elsewhere. 1
Purdue - IE - 230
Quiz 10. April 20, 2011Seat # _Name: _Closed book and notes. No calculator. Recall: X = in=1 Xi / n Recall: S 2 = [in=1 Xi 2 nX ] / (n 1) Consider a sample containing the data 14.2, 30.4, 8.1, 34.5, 8.7, 5.5. 1. (2 points) Determine the sample size.2
Purdue - IE - 230
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Purdue - IE - 230
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Purdue - IE - 230
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