Purchase Solution

Pearson correlation coefficient, deviation scores, testing

Not what you're looking for?

Ask Custom Question

1. When we have a straight-line relation between two variables, we use a Pearson correlation coefficient. What does this coefficient describe?

2. How are deviation scores used in assessing the relation between variables?

3. What are the null and research hypotheses for correlations?

4. Describe the third assumption of hypothesis testing with correlation.

Purchase this Solution
Solution Summary

Solution provides answers and in-depth explanations for each of the questions.

Solution Preview

1. The Pearson's product-moment coefficient is obtained by dividing the covariance of the two variables by the product of their standard deviations. This correlation coefficient measures that strength and direction of a linear relationship between the two variables. A perfect correlation is ±1, where +1 is where all the points lie exactly on a ...

Purchase this Solution
Free BrainMass Quizzes
Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

View More Free Quizzes
Related BrainMass Solutions

  • Explanation of Logic Behind the Sum of Products

    If we substitute the formulas for the Z-scores into this formula we get the following formula for the Pearson Product Moment Correlation Coefficient, which we will use as a definitional formula.

  • Correlation

    The solution describes the determination of the correlation coefficient and its testing procedure.

  • Correlation & Regression Analysis

    Compare the Pearson correlation. b. Multiply each X value by 2 and compute the Pearson correlation for the modified scores. c.

  • Correlation and rank corelation

    What information is provided by numerical value of the Pearson correlation? The strength of relationship is measured by the numerical value of the Pearson correlation coefficient.

  • Correlation Coefficient

    Calculate and interpret the Pearson's correlation coefficient between test scores (X) and number of hours a person studied for the test (Y). (10 points) I also did this in Excel, by using the Excel function =PEARSON(y-values, x-values).

  • Math 201: Computation of Correlation Coefficient

    Find the correlation coefficient between hours studied and final exam scores. Is there a weak or strong, positive or negative correlation between hours studied and final exam scores?

  • Pearson Correlation Coefficient

    Compute the Pearson correlation. B. Multiply each X value by 2 and compute the Pearson correlation for the modified scores. C.

  • Statistics: Construct and analyze Scatter Diagrams

    (use the .05 significance level, two-tailed); (e) explain the logic of what you have done, writing as if you are speaking to someone who has never heard of correlation (but who does understand the mean, deviation scores, and hypothesis testing); and

  • The Numerical Value of the Pearson Correlation

    b) With a small sample, a single point can have a large effect on the magnitude of the correlation change the score x=5 to x= 0 and compute the Pearson Correlation again. a) correlation coefficient = -0.8333 b) correlation coefficient = 0.

View More Related Solutions