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Chi Square Test of Alcohol Consumption and Age Category

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Introduction Nesarc dataset is used for alcohol consumption, related age category, and depression data. Getting Data In Nesarc dataset, four columns are needed for analysis.  Consumer:  Alcoholic Consumption Age :  Ages S2AQ4B :  How often drank coolers in the last month Majordeplife:  The people who experience depression Preparing Data The people who are c urrent and Ex drinkers and their ages between 20 and 50 are filtered for this research. S2AQ4B  ( How often drank coolers in the last month) is also recoded as year in a new variable  USFREALC .  Null Hypothesis There is no connection between age and alcohol consumtion. Observer and Percentages The Proportion of Age Category Over Alcohol Consumption The diagram shows there is not much diffrence between age category. CHI SQUARE and P-Value The p value is very low. It is lower than 0.001. We can accept the null hypothesis.

Alcohol Consumpsion - Depression - Age Category

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  Analysis of Variance Introduction Nesarc dataset is used for alcohol consumption, related age category, and depression data. Getting Data In Nesarc dataset, four columns are needed for analysis.  Consumer: Alcoholic Consumption Age :  Ages S2AQ4B : How often drank coolers in the last month Majordeplife:  The people who experience depression Preparing Data The people who are c urrent and Ex drinkers and their ages between 20 and 50 are filtered for this research. S2AQ4B ( How often drank coolers in the last month) is also recoded as year in a new variable  USFREALC .  Null Hypothesis 1 There is no connection with alcohol consumption and depression. F Test on Alcohol Consumption and Depression F-Statistics is really high. 0.706 is higher than 0.05 so we can accept the null hypothesis. "There is no connection with alcohol consumption and depression." Null Hypothesis 2 There is no connection with alcohol consumption and depression. F Test on Alcohol Cons...