Statistics Project, Part 4: Correlation
Statistics Project, Part 4: Correlation
A correlation coefficient is a numerical measure of some type of correlation, meaning a statistical relationship between two variables.[1] The variables may be two columns of a given data set of observations, often called a sample, or two components of a multivariate random variable with a known distribution.[citation needed]
Several types of correlation coefficient exist, each with their own definition and own range of usability and characteristics. They all assume values in the range from −1 to +1, where ±1 indicates the strongest possible agreement and 0 the strongest possible disagreement.[2] As tools of analysis, correlation coefficients present certain problems, including the propensity of some types to be distorted by outliers and the possibility of incorrectly being used to infer a causal relationship between the variables.[
ORDER NOW FOR AN ORIGINAL PAPER!!!Statistics Project, Part 4: Correlation
One week away from the final project, and now you calculate your first correlational stats on your data set. You will calculate the Pearson product-moment correlations between at least two sets of variables in your data set.
Do one correlation between two independent variables such as age and education. Do the second correlation on an independent variable (such as age) and the dependent variable (such as score). Remember that most people never see the actual output or data; they read the results statements by the researcher, so your summary must be accurate.
Calculate the Pearson product-moment correlations between at least 2 sets of variables in your data set. Do one correlation between two independent variables such as age and education. Do the second correlation on an independent variable (such as age) and the dependent variable (such as score).
Summarize the results of the calculation in 45 to 90 words.
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