gravetter wvalinau essentials chapter 14 correlation aa as we have noted in previous chapters ev

Hello students in this question we need to test H naught rho is equal to 0 versus H a rho is not

In this video, we're expanding our knowledge in regards to sample size and significance of corre

For this question, starting with Part A, it is given to us that our R value is 0 .820, our alpha

In Part A, it is given that for a sample size of n is equal to 6, the correlation coefficient R

Question

As we have noted in previous chapters, even a very small effect can be significant if the sample is large enough. Suppose, for example, that a researcher obtains a correlation of r = 0.60 for a sample of 10 participants. Is this sample sufficient to conclude that a significant correlation exists in the population? Use a two-tailed test with α = 0.05 and round your answers to three decimal places for the following: tcritical = 2.365 The correlation is statistically significant. If the sample had n = 25 participants, is the correlation significant? Again, use a two-tailed test with α = 0.05. Calculate the following and round your answers to three decimal places: tcritical = 3.365 The correlation is statistically significant.

          As we have noted in previous chapters, even a very small effect can be significant if the sample is large enough. Suppose, for example, that a researcher obtains a correlation of r = 0.60 for a sample of 10 participants. Is this sample sufficient to conclude that a significant correlation exists in the population? Use a two-tailed test with α = 0.05 and round your answers to three decimal places for the following:

tcritical = 2.365

The correlation is statistically significant.

If the sample had n = 25 participants, is the correlation significant? Again, use a two-tailed test with α = 0.05. Calculate the following and round your answers to three decimal places:

tcritical = 3.365

The correlation is statistically significant.

gravetter wvalinau essentials chapter 14 correlation aa as we have noted in previous chapters even very small effect can be significant if the sample is large enough suppose for example that 75139

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