Inferential Statistics and Hypothesis Testing Your email address: Start Quiz! 1. Inferential statistics deals withEstimating population parameter using information from samplesValidating critical root causes for the problemCalculating summary valuesRepresenting data in graphical formatA&BC&D 2. Population Mean can be estimatedAs a single valueAs an intervalUsing information on sample meanA&BB&C 3. Alternate HypothesisWhat we want to proveIs the mathematical opposite of Null HypothesisAlways say there is a differenceAll of the aboveNone of the above 4. If p value is 0.045,Reject Null HypothesisFail to reject Null HypothesisReject Alternate HypothesisNone of the above 5. .------ is not an example of Parametric TestANOVA2 sample t test1 sample t test1 sample sign test 6. The first and foremost criteria for selecting the appropriate Hypothesis Test isNormality of dataParameter we want to estimateNumber of data setsData type of both X and Y 7. The Hypothesis Test done to check the normality of data is2 sample t testKruskal wallis testAnderson Darling TestANOVA 8. Hypothesis Test for comparing means of 2 normally distributed populations is1 sample t testANOVA2 sample t testMann whitney test 9. .------ is not a non parametric test equivalent of ANOVAMood’s Median TestMann Whitney TestKruskal Wallis TestFriedman’s Test 10. You want to check if the Mean hardness from 4 different hardening furnaces are same or arleast one is different from others.. You will use2 sample t testChi Square TestMultiple RegressionANOVA Loading... Overview of Six Sigma Lean Management Define Phase Process Mapping Tools Basic Statistics MSA & Process Capability Analysis MVA - Distributions - Sampling Inferential Statistics and Hypothesis Testing Improve Phase Control Phase