Proposed analysis (the kind of test) and why you chose the analysis: Scales of measurement (i.e., nominal, ordinal, interval or ratio) for variable(s) that will be used in the analysis: Null and alternative hypotheses (based on context of study) in symbols: Test assumptions and make a decision Inferential statistic(s) and p-value(s): Decision: conclusion Based on your decision, identify and explain the type of error you could be making with respect to the conclusions of the study
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.
In a study looking at undergraduate students’ perceptions of sense of community at their university, a researcher hypothesizes that the farther away students live from campus (in miles), the less they feel they are part of the university community. The researcher collected data for the following two variables – miles from campus and part of community (rating from 1-10 of how much they felt part of the university community).
Proposed analysis (the kind of test) and why you chose the analysis:
Scales of measurement (i.e., nominal, ordinal, interval or ratio) for variable(s) that will be used in the analysis:
Null and alternative hypotheses (based on context of study) in symbols:
Test assumptions and make a decision
Decision:
conclusion
Based on your decision, identify and explain the type of error you could be making with respect to the conclusions of the study
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