TablesCategoricalDataMinitab

TablesCategoricalDataMinitab - MTB > 3 Value...

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Categorical Data – Minitab Chi-squared One-way table - Enter data Stat -> Tables -> Ch-Squared One Way Goodness of Fit Test (One Variable( 1
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Observed counts o Column containing counts o Column containing category names o Equal or specific proportion 2
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Results: Original data: Drink Count Coke 35 Pepsi 20 Other 45 Welcome to Minitab, press F1 for help. MTB > TChiSquare; SUBC> Observed 'Count'; SUBC> Levels 'Drink'; SUBC> GBar; SUBC> GChiSQ; SUBC> Pareto; SUBC> RTable. Chi-Square Goodness-of-Fit Test for Observed Counts in Variable: Count Using category names in Drink Test Contribution Category Observed Proportion Expected to Chi-Sq Coke 35 0.333333 33.3333 0.08333 Other 45 0.333333 33.3333 4.08333 Pepsi 20 0.333333 33.3333 5.33333 N DF Chi-Sq P-Value 100 2 9.5 0.009 Chart of Observed and Expected Values Chart of Contribution to the Chi-Square Value by Category
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Unformatted text preview: MTB > 3 Value Category Pepsi Other Coke 50 40 30 20 10 Expected Observed Chart of Observed and Expected Values Category Contributed Value Coke Other Pepsi 6 5 4 3 2 1 Chart of Contribution to the Chi-Square Value by Category 4 Two way table enter data Stat -> Tables Cho-Squared test two way table (data in worksheet) 5 Specify columns containing data 6 Results: Original Data Leave Complain Count Yes 54 22 No 585 721 Chi-Square Test: Complain, Count Expected counts are printed below observed counts Chi-Square contributions are printed below expected counts Complain Count Total 1 54 22 76 35.14 40.86 10.122 8.705 2 585 721 1306 603.86 702.14 0.589 0.507 Total 639 743 1382 Chi-Sq = 19.922, DF = 1, P-Value = 0.000 MTB > 7...
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This note was uploaded on 09/25/2009 for the course IDS 371 taught by Professor Staff during the Spring '08 term at Ill. Chicago.

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TablesCategoricalDataMinitab - MTB > 3 Value...

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