a. Find the point estimates for the population mean and the population standard deviation for the day students and the night students. b. Construct a 95% confidence interval for the population mean of the day students and for the night students. Do the confidence intervals suggest there is a significant difference in ages between the two groups? Explain. c. Construct a 95% confidence interval for µ1- H2. Does the confidence interval suggest there is a significant difference in ages between the two groups? Explain. d. At a = 0.05, test the claim that there is no difference in age between the two groups. e. Interpret your results.
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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