Chi squared test - Study guides, Class notes & Summaries

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BCACP Stats questions with correct answers
  • BCACP Stats questions with correct answers

  • Exam (elaborations) • 5 pages • 2023
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  • Nominal, 2 groups (independent) CORRECT ANSWER-Chi squared or Fisher exact test (<5 in any cell; n<20) Nominal, 2 groups (paired/matched) CORRECT ANSWER-McNemar test Nominal, 3+ groups (independent) CORRECT ANSWER-Chi squared or Fisher exact test (<5 in any cell; n<20) Nominal, 3+ groups (paired/matched) CORRECT ANSWER-Cochran Q; Mantel-Haenszel Nominal, 3+ groups, multiple treatments CORRECT ANSWER-Mantel Haenszel test Ordinal 2 Groups (independent) CORRECT ANSWER-Wil...
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ISYE 6414 - All Units Latest Update Graded A
  • ISYE 6414 - All Units Latest Update Graded A

  • Exam (elaborations) • 77 pages • 2023
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  • ISYE 6414 - All Units Latest Update Graded A response (dependent) variables one particular variable that we are interested in understanding or modeling (y) predicting or explanatory (independent) variables a set of other variables that might be useful in predicting or modeling the response variable (x1, x2) What kind of variable is a response variable and why? random, because it varies with changes in the predictor/s along with other random changes. What kind of variable is a predicting varia...
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ISYE 6414 All Units Questions And Answers Well Illustrated.
  • ISYE 6414 All Units Questions And Answers Well Illustrated.

  • Exam (elaborations) • 35 pages • 2024
  • ISYE 6414 All Units Questions And Answers Well Illustrated. response (dependent) variables - correct answer. one particular variable that we are interested in understanding or modeling (y) predicting or explanatory (independent) variables - correct answer. a set of other variables that might be useful in predicting or modeling the response variable (x1, x2) What kind of variable is a response variable and why? - correct answer. random, because it varies with changes in ...
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ISYE 6414 Regression Modules 1-2  Updated 2025 with complete solution
  • ISYE 6414 Regression Modules 1-2 Updated 2025 with complete solution

  • Exam (elaborations) • 8 pages • 2024
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  • For assessing the normality assumption of the ANOVA model, we can only use the quantile-quantile normal plot of the residuals. - False In simple linear regression models, we loose three degrees of freedom because of the estimation of the three model parameters, B0, B1, and Sigma^2? - False In evaluating a simple linear model - there is a direct relationship between the coefficient of determination and the correlation between the predicting and response variables. Assuming that the data are...
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BCPS Exam  | questions and answers 2023/24
  • BCPS Exam | questions and answers 2023/24

  • Exam (elaborations) • 56 pages • 2023
  • BCPS Exam | questions and answers 2023/24 Unpaired T-test - Continuous data 2 independent samples Paired T-test - Continuous data 2 paired samples ANOVA - Continuous outcome data Categorical exposure data 3+ independent variables ANCOVA - Continuous outcome data Categorical exposure data 3+ independent variables Controls for covariates Wilcoxon Rank Sum Test (Mann-Whitney U Test) - Ordinal data 2 independent samples Wilcoxon Signed Rank Test - Ordinal data 2 paired sampl...
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ISYE6414 Midterm 2 Questions And Answers With Verified Solutions
  • ISYE6414 Midterm 2 Questions And Answers With Verified Solutions

  • Exam (elaborations) • 10 pages • 2024
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  • The _______________ for multiple linear regression do not have constant variance. - Answer-sample residuals The ______________ for multiple linear regression have constant variance. - Answer-error terms QQPlot and histogram are used to assess what in MLR? - Answer-normality Residuals vs predictor are used to predict what in MLR - Answer-linearity Residuals vs fitted values are used to assess what in MLR - Answer-constant variance and independence Points that are far from the mean of the x...
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Data Driven Decision Making TOP Predicted  Questions and Correct Answers
  • Data Driven Decision Making TOP Predicted Questions and Correct Answers

  • Exam (elaborations) • 8 pages • 2024
  • linear programming - math technique used to find the maximum or minimum of linear equations containing several variables profit formula - selling price - labor - materials crossover analysis - allows a decision maker to identify the crossover point breakeven formula - fixed cost/ contribution margin per unit chi squared test - 1. state null hypothesis and alternative hypothesis 2. decide on significance level 3. compute value of test statistic critical value and compare it to the test ...
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NSCI 3021 Final Exam Questions & Answers 2024/2025
  • NSCI 3021 Final Exam Questions & Answers 2024/2025

  • Exam (elaborations) • 4 pages • 2024
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  • NSCI 3021 Final Exam Questions & Answers 2024/2025 Types of Vitamin D Supplementation - ANSWERS*Cholecalciferol *Ergocalciferol *Calcitriol (active form) *vitamin D analogs *week 4 Vitamin D's Possible Role - ANSWERScalcitriol (active form)= potent steroid hormone *week 4 Stats you commonly see - ANSWERSdescriptive stats, t-test, chi-squared, ANOVA (one or two way), Multiple comparisons, ANCOVA, Regression analysis (simple linear, multiple) , correlations, odds ratio, relat...
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BANA 3363 EXAM 3 WITH COMPLETE SOLUTIONS
  • BANA 3363 EXAM 3 WITH COMPLETE SOLUTIONS

  • Exam (elaborations) • 4 pages • 2024
  • BANA 3363 EXAM 3 WITH COMPLETE SOLUTIONS A chi-squared test of a contingency table is applied to a contingency table with 4 rows and 4 columns for two categorical variables. The degrees of freedom for this test must be 9. - Answer-True In a test of a contingency table, rejecting the null hypothesis concludes the variables are not independent. - Answer-True The sampling distribution of the test statistic for a goodness-of-fit test with k categories is a: - Answer-chi-squared distribution w...
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ISYE 6414 - All Units Questions And Answers With Verified Updates
  • ISYE 6414 - All Units Questions And Answers With Verified Updates

  • Exam (elaborations) • 46 pages • 2024
  • Available in package deal
  • Linearity/Mean zero assumption - Means that the expected value (deviances) of errors is zero. This leads to difficulties in estimating B0 and means that our model does not include a necessary systematic component Constant variance assumption - Means that it cannot be true that the model is more accurate for some parts of the population, and less accurate for other parts of the populations. This can result in less accurate parameters and poorly-calibrated prediction intervals. response (dep...
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