(Biostatistics; Psychiatry) Chi Square Test: Dr. Surbhi

The Chi-Square Test is a handy statistical tool that helps us figure out if there's a meaningful connection between different categorical variables or if the data we observe aligns with what we expect. It's a popular choice in areas like market research, healthcare, and social sciences. Types of Chi-Square Tests Chi-Square Goodness of Fit Test: This test checks if a single categorical variable matches a predicted distribution. For instance, you might want to see if a die is fair by comparing the actual results to the expected equal probabilities. Or, you could look at whether the colors of M&Ms in a bag fit a certain percentage distribution. Chi-Square Test of Independence: This test looks at whether two categorical variables are related. For example, you might explore if there's a link between gender and voting preferences, or see if education level has any correlation with marital status. (Biostatistics; Psychiatry) Chi Square Test: Dr. Surbhi #chisquaretest #PsychiatricStatistics #statisticalanalysis #mentalhealthresearch #datascience #ResearchMethods #QuantitativeResearch #Psychometrics #StatisticalSignificance #clinicalpsychology #datainterpretation #researchfindings #PsychiatricStudies #StatisticsInPsychology #MentalHealthStatistics #EvidenceBasedResearch #statisticalmethods #researchanalysis #PsychiatricData #academicresearch