A researcher decides prior to her study that she will set the α value at .05. She measures two variables, socioeconomic status, and friendship quality, and calculates the Pearson correlation. She finds that r  = -.31, p  = .24. What is the null hypothesis that is being tested? What is the alternative hypothesis? What is your decision about whether to reject the null hypothesis based on the finding? Why?  What is your interpretation? Consider: May we infer that the correlation in the population is non-zero? In other words, is the correlation statistically significant? Explain. Is there a positive or negative relationship between the variables (in the population)? How strong is the relationship (in the population)?

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cenario 2: A researcher decides prior to her study that she will set the α value at .05. She measures two variables, socioeconomic status, and friendship quality, and calculates the Pearson correlation. She finds that r  = -.31, p  = .24.

  1. What is the null hypothesis that is being tested?
  2. What is the alternative hypothesis?
  3. What is your decision about whether to reject the null hypothesis based on the finding? Why? 
  4. What is your interpretation? Consider:
    1. May we infer that the correlation in the population is non-zero? In other words, is the correlation statistically significant? Explain.
    2. Is there a positive or negative relationship between the variables (in the population)?
    3. How strong is the relationship (in the population)?
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