It is often said that younger generations do not vote as often as older generations. We took a random sample and found the following. Voted Did not vote Total Young 25 89 114 Old 48 120 168 Our null hypothesis is that age and voting are independent. Our alternative hypothesis is that age and voting are dependent (correlated) We would run a ____________ and find that the test statistic is _________________ with a p-value of ___________________ . Thus we have evidence that we _____________ the null hypothesis.
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.
It is often said that younger generations do not vote as often as older generations. We took a random sample and found the following.
|
|
Voted |
Did not vote |
Total |
|
Young |
25 |
89 |
114 |
|
Old |
48 |
120 |
168 |
Our null hypothesis is that age and voting are independent.
Our alternative hypothesis is that age and voting are dependent (
We would run a ____________ and find that the test statistic is _________________ with a p-value of ___________________ .
Thus we have evidence that we _____________ the null hypothesis.
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