a) Create a 95% confidence interval for the mean difference in cost. Be sure to justify the chosen procedure. The proper procedure is finding because the entire data set is composed of Are all the appropriate conditions and assumptions satisfied? Select all that apply. O A. Yes, all the conditions are definitely satisfied. OC. No, the Nearly Normal Condition is definitely not satisfied. O B. No, the Independent Groups Assumption is definitely not satisfied. OD. No, it is impossible to determine if the Nearly Normal Condition satisfied. O E. No, the Paired Data Condition is not satisfied. OF. No, the sample size in not large enough to ensure that the CLT applies. O G. No, the Independence Assumption is definitely not satisfied. O1. No, it is impossible to determine if the Independent Groups Assumption is satisfied. O H. No, it is impossible to determine if the Independence Assumption is satisfied. OJ. No, it is impossible to determine if the Paired Data Condition is satisfied. Let each difference be equal to the nonresident tuition minus the resident tuition. The 95% confidence interval for the mean difference in cost is (ss (Round to the nearest dollar as needed.) b) Interpret the part a) interval in context. Choose the correct answer below. O A. With 95% confidence, the nonresidents pay, on average, more than residents by a value between the lower and upper bounds of the confidence interval. O B. The confidence interval contains the true value that nonresidents pay more than residents, on average, 95% of the time. O C. For all samples, 95% of them will have a mean difference that falls within the confidence interval. O D. Any difference will fall within this interval 95% of the time. c) A national magazine claims that public institutions charge state residents an average of $4400 less for tuition each semester. What does the part a) confidence interval indicate about this assertion?

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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.