A Pew poll found that in a sample of 1002 adults, 621 had a social media account. The study was repeated a year later and 631 out of 971 adults had social media accounts. An executive at a social media company claims that the proportion of adults with social media accounts one year ago is less than the proportion of adults with social media accounts this year. Use significance level of 0.05 to test his claim.
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.
A Pew poll found that in a sample of 1002 adults, 621 had a social media account. The study was repeated a year later and 631 out of 971 adults had social media accounts. An executive at a social media company claims that the proportion of adults with social media accounts one year ago is less than the proportion of adults with social media accounts this year. Use significance level of 0.05 to test his claim.
I-dentify the significance level.
-Find the test statistic. Round to four decimal places.
-Find the p-value associated with the test statistic. Round to four decimal places.
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