In 2016, the US poverty rate was 12.7%. During that year, 370 families where randomly selected in Hawaii. Out of them, 30 were found to be living below the poverty line. At a level of significance of a = 0.05, do the data provide sufficient evidence to conclude that, in 2016, the percentage of families below the poverty line was lower in Hawaii than among all US families? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho:? v Select an answer v (please enter a decimal) Ha: ? vSelect an answer V (Please enter a decimal) C. The test statistic ? v = (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) %3D e. The p-value is ? va f. Based on this, we should Select an answer the null hypothesis. g. Thus, the final conclusion is that ... O The data suggest the populaton proportion is significantly lower than 12.7% at a = 0.05, so there is sufficient evidence to conclude that the population proportion of Hawaiian families who are below the poverty line is lower than the US as a whole.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

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